Global AI MapAI RESEARCH AND ROBOTICSSearch vacancies from the official career feeds of organizations in the directory.
3986 current vacancies
The AI Researcher role focuses on building world models, data infrastructure, and ML systems for embodied AI. Candidates must have strong Python and PyTorch skills, a CS degree, and experience in at least one of the four key AI pillars.
The AI Researcher - Perception role owns NEO's vision systems for kinematic calibration, 3D scene understanding, and pose estimation. Candidates must have 5+ years of experience shipping perception systems on physical hardware and deploying deep learning models in PyTorch.
The AI Researcher role focuses on developing and deploying reinforcement learning policies for humanoid robot manipulation and locomotion. Candidates must have strong Python or C++ skills, PyTorch proficiency, and experience with simulation platforms to close the sim-to-real gap.
The AI Residency is a fixed-term position for researchers and engineers to work on high-impact AI and robotics problems alongside full-time team members. Candidates must have a bachelor's degree in Computer Science, proficiency with Python and deep learning frameworks, and the ability to prototype and ship production-ready code.
The Assembly Technician role involves building precision mechanical subassemblies for humanoid robots in Hayward, CA. Candidates must read engineering drawings, use hand and power tools, and meet production targets while maintaining quality and safety standards.
The Assembly Technician role involves building precision electromechanical subassemblies for humanoid robot hands with micron-level tolerances. Candidates must have 3+ years of experience in fine-component manufacturing and proficiency with precision hand tools and inspection instruments.
The Biomechanics Researcher role involves defining human-level performance metrics and translating biological insights into engineering specifications for humanoid robots. Candidates must have a PhD in a related field, 5+ years of experience, and strong skills in quantitative modeling and experimental design.
The CAD Sculptor role involves translating industrial design intent into high-quality, production-ready CAD geometry for the NEO humanoid robot. Candidates must have 5+ years of experience in CAD modeling and digital surfacing, with proficiency in tools like Autodesk Alias or Rhino.
The Camera Hardware Engineer role involves developing and validating vision hardware for the NEO humanoid robot, including camera module bring-up and mass production qualification. Candidates must have a bachelor's degree in engineering and at least three years of experience with camera systems, optics, and image quality evaluation.
The CNC Programmer role involves owning end-to-end CNC programming and operation for prototype and small-scale production parts for humanoid robots. Candidates must have proven hands-on experience with 5-axis and mill-turn CNC machines and proficiency in a professional CAM system.
The Device Management Engineer role involves owning and scaling secure, automated endpoint fleet management infrastructure for 1X's robotics organization. Candidates must have 5+ years of experience in endpoint systems engineering and strong skills in Python, Bash, and configuration management platforms.
This role owns the 1X developer platform end to end, focusing on strategy, roadmap, and API reliability for external customers. Candidates must have 10+ years in product management, including experience leading a platform product and developing product managers.
The Electrical Engineer role involves designing and delivering electrical systems for humanoid robots, including actuator electronics, sensing, and power distribution. Candidates must have a degree in Electrical Engineering and 5+ years of experience in hardware design, debugging, and validation.
The Electrical Harness Technician role involves building wire harnesses and performing continuity testing for humanoid robots. Candidates must have 2-3 years of fabrication experience, IPC-620 certification, and the ability to read electrical schematics.
This role involves manufacturing humanoid robots by dialing in mechanical and electrical assembly processes and validating wire harnesses. The position requires hands-on experience in manufacturing or assembly, troubleshooting production issues, and interpreting technical drawings.
The Facilities Technician maintains the San Carlos facility by performing routine repairs and preventive maintenance in plumbing, carpentry, and basic electrical systems. The role requires 2+ years of experience in facilities maintenance, a high school diploma, and the ability to lift 50 lbs.
This role focuses on ensuring firmware release quality for humanoid robots by building hardware-in-the-loop test rigs and automated Python regression suites. Candidates must have a bachelor's degree and at least two years of experience in embedded systems testing, Python, and communication protocols.
The Global Supply Manager for Motors & Magnets owns sourcing strategy and supplier relationships for critical motion components. The role requires a bachelor's degree and six or more years of experience in global sourcing and electromechanical component management.
The Head of Intellectual Property will build and execute 1X's IP strategy from the ground up, focusing on patents and trade secrets for robotics and AI. The role requires deep technical fluency, hands-on patent drafting, and experience managing complex technical portfolios in a deep-tech domain.
The Integration Engineer role focuses on building and owning tests for humanoid robot hands, including developing test software, stations, and procedures. Candidates must have a bachelor's degree in a related engineering field and at least five years of experience in hardware test or validation.
The Inventory Control Analyst role focuses on maintaining inventory accuracy and integrity across 1X's manufacturing and warehouse operations. Candidates must have 5+ years of experience in inventory control or logistics within a manufacturing environment and proficiency with ERP systems and analytics tools.
The Inventory Control Supervisor leads global inventory control functions across manufacturing and warehouse operations to ensure accuracy and operational efficiency. The role requires 5+ years of experience in inventory management, team leadership, and proficiency with ERP systems and business intelligence tools.
The Lead Recruiting Coordinator role involves owning end-to-end interview scheduling and candidate communication for half of the hiring organization. The position requires 7+ years of recruiting coordination experience, proficiency with applicant tracking systems, and the ability to manage complex executive or high-volume schedules.
The Manufacturing Test Technician executes functional, electrical, and electromechanical tests on NEO hardware to verify quality and performance. The role requires 2+ years of hands-on experience in engineering labs or manufacturing test environments, along with practical understanding of mechanical and electrical systems.
The Materials Handler role ensures the physical flow of materials for NEO production by maintaining inventory accuracy and keeping production lines supplied. Candidates must have prior warehouse or logistics experience and be able to perform physical work throughout a full shift.
The Materials Handler role ensures the physical flow of materials for NEO production in San Carlos, CA. Candidates must have prior warehouse or logistics experience and be able to perform physical work throughout a full shift.
The Materials Planner role owns the material plan for NEO production to ensure parts arrive on time and prevent line-down events. Candidates require 3-5 years of manufacturing planning experience, MRP fluency, and advanced Excel skills.
The Materials Scientist, Polymers role leads R&D on novel tendon materials, coatings, and composites for humanoid robots. Candidates require an MS in a related field and 3+ years of hands-on experience in polymer chemistry, physics, and processing.
The Mechanical Design Engineer role focuses on developing active and passive thermal-management systems for the NEO humanoid robot's hands. Candidates must have a mechanical engineering degree, 2+ years of thermal design experience, and proficiency with 3D CAD software.
The Mechanical Engineer role involves designing and delivering mechanical systems for humanoid robots from concept to production. Candidates must have a bachelor's degree in mechanical engineering and 1-2+ years of experience designing mechanical systems and electromechanical assemblies.
The Mechanical Engineer role focuses on designing and integrating electromechanical actuator systems for humanoid robots. Candidates must have 7-10 years of mechanical design experience and proficiency with CAD tools to develop production-ready hardware.
The Mechanical Engineer - Prototyping role involves owning end-to-end development of physical products and prototypes for the NEO humanoid robot ecosystem. Candidates must have 5+ years of mechanical engineering experience, strong CAD skills, and the ability to manage multiple hardware projects from concept through fabrication and testing.
The Motor Test Technician role involves executing hands-on validation testing for electric motors and actuators used in humanoid robots. Candidates must have at least three years of experience operating dynamometers, test fixtures, and data acquisition systems to generate reliable performance and durability data.
The NPI Engineering Technician role involves establishing manufacturing processes for electromechanical assemblies and troubleshooting production issues to support new product introduction. Candidates must have hands-on experience in manufacturing or assembly, along with the ability to interpret technical drawings and perform inspections.
The role involves developing and validating technologies to advance humanoid robot performance toward human-level capability. Candidates must demonstrate exceptional technical depth, a bias toward execution, and the ability to translate research into working prototypes.
This role involves operating humanoid robots in lab and residential environments to collect high-quality data for AI training. Candidates must follow structured procedures, perform physically active tasks, and annotate data using internal tools.
This role involves managing People Operations systems, data, and processes for employee lifecycle management, including HRIS, payroll, and onboarding. Candidates need 4-7 years of experience in HR Operations or HRIS roles with strong data and process improvement skills.
The Principal Tools Engineer, Simulation role focuses on building scalable simulation tooling, developer workflows, and content pipelines for robotics development. Candidates must have deep expertise in game engine infrastructure, simulation platforms, and CI/CD pipelines, with strong proficiency in C++, C#, or Python.
The Product Security Engineer role focuses on securing 1X's humanoid robots, operating systems, and cloud infrastructure. Candidates must have 5+ years of experience in product security and strong skills in Linux internals, cryptography, and code auditing.
The Production Supervisor role manages the daily assembly floor for humanoid robots, focusing on safety, quality, and output targets. Candidates must have at least three years of hands-on production supervision experience and fluency in manufacturing planning and safety systems.
The Production Supervisor role manages the daily assembly floor for 1X's humanoid robots, focusing on safety, quality, and output. Candidates must have at least three years of direct production supervision experience and fluency in production planning, quality systems, and safety practices.
The Prototype Engineer maintains the 3D printing and prototyping lab, serving as the first point of contact for engineers. The role requires hands-on experience with 3D printing, CAD files, and workshop tools to ensure the space is organized and fully stocked.
The Prototype Technician role involves preparing, fabricating, and inspecting 3D-printed prototypes for the NEO humanoid robot. Candidates must have 1-3 years of hands-on experience in additive manufacturing or rapid prototyping and proficiency with CAD tools and inspection equipment.
The Prototyping Electrical Engineer develops and validates electrical prototypes and harnesses for the NEO humanoid robot. The role requires 3-7 years of experience in electrical engineering, schematic creation, and hands-on hardware debugging.
The Prototyping Fabrication Technician supports the build and finishing of physical prototypes for humanoid robots. The role requires hands-on experience assembling and finishing parts, with a focus on craftsmanship and adaptability.
The Quality Engineer role develops manufacturing quality systems for humanoid robotic hardware, focusing on PFMEA, failure analysis, and production data interpretation. Candidates require a technical degree and three or more years of experience in electromechanical hardware testing or manufacturing quality.
The Quality Engineering Technician role involves owning incoming inspection activities and supporting the resolution of quality issues in manufacturing operations. Candidates must have at least three years of hands-on experience in quality or manufacturing and the ability to interpret technical drawings and use inspection equipment.
The Quality Engineering Technician Polymer role focuses on owning quality on the polymer production line, including process audits and leading the Material Review Board process. Candidates require 5+ years in polymer production, hands-on adhesive dispensing experience, and proficiency in data analysis tools like Excel, JMP, or Minitab.
This role involves recruiting skilled trades and technician talent for manufacturing roles such as assembly, electrical, and maintenance. The position requires experience sourcing candidates through trade schools and running high-volume hiring events to meet production plans.
The role involves developing sim2real reinforcement learning pipelines for humanoid robots and optimizing training for performance and speed. Candidates must have a Master's degree in a related field and one year of experience in Robotics and Machine Learning.
The PM Operations Manager, Service leads the PM shift of the Maintenance & Repair Operations team, overseeing repair workflows for humanoid robots. The role requires 4-6+ years of experience in electromechanical repair or technical operations and the ability to lead technical teams in high-reliability environments.
The Robot Service Technician role involves diagnosing, repairing, and validating humanoid robots and their subsystems to maintain fleet health. Candidates must have at least two years of hands-on technical experience in robotics, manufacturing, or a related field, along with strong electromechanical troubleshooting skills.
The Senior Build Engineer role involves owning and scaling automated build and release infrastructure for robotics software across multiple platforms. Candidates must have 6+ years of experience in build engineering or DevOps and strong skills in Python, Go, or Bash.
The Senior Build Engineer role focuses on optimizing CI/CD infrastructure to reduce build latency and improve developer productivity for 1X's robotics software. Candidates must have 6+ years of experience in Build Engineering or DevOps and strong skills in Python, Go, or Bash.
The role involves building and scaling detection engineering, threat monitoring, and incident response capabilities across cloud, enterprise, and robotics environments. Candidates require 5+ years of security operations experience, proficiency with SIEM and EDR platforms, and strong scripting skills in Python, Go, or Bash.
The Senior DevOps Engineer role focuses on maintaining 1X's cloud infrastructure, Kubernetes clusters, and GPU compute for humanoid robots. Candidates must have 5+ years of experience in DevOps or SRE, with strong skills in infrastructure-as-code, Python or Go, and Terraform.
The role involves designing and delivering electrical subsystems for humanoid robots, including power, sensing, and control systems. Candidates must have strong electrical engineering fundamentals and experience with hardware design, debugging, and validation.
The Senior Frontend Engineer role involves building high-performance web applications and dashboards for the 1X fleet management platform. Candidates must have 6+ years of frontend experience, a bachelor's degree, and proficiency in TypeScript and React.
The Senior Harness Manufacturing Engineer owns the full lifecycle of robot wiring systems from prototype to high-volume production. The role requires developing scalable manufacturing processes, maintaining quality standards, and leading root cause investigations to ensure reliable harness assembly.
The Senior Manager Quality Engineering role leads a team to establish quality systems for humanoid robot production, covering new product introduction, manufacturing controls, and incoming inspection. Candidates require a bachelor's degree in engineering and five or more years of experience managing quality engineering in complex hardware or electromechanical manufacturing environments.
The role involves owning electromechanical manufacturing processes for 1X humanoid robots from prototype through production. Candidates must have 5+ years of experience with PCBAs, wire harnesses, and functional testing, along with a degree in a related engineering field.
The role involves designing and releasing production-ready mechanical systems for humanoid robots, focusing on body and joint architecture. Candidates must have a bachelor's degree in mechanical engineering and at least five years of experience developing complex electromechanical products.
The Senior Manufacturing Engineer role focuses on developing scalable manufacturing processes for humanoid robots, including machining, assembly, and inspection. Candidates must have a bachelor's degree in engineering and at least five years of experience in precision mechanical or electromechanical manufacturing.
The Senior Manufacturing Engineer, Battery role involves designing and validating energy storage systems for humanoid robots. Candidates must have a bachelor's degree and five or more years of experience in battery systems or complex electromechanical products.
The Senior Manufacturing Engineer role focuses on building scalable manufacturing systems for 1X humanoid robot hands, owning processes from prototype through production. Candidates must have a degree in engineering and 5+ years of experience in manufacturing mechanical or electromechanical products, with proficiency in CAD, GD&T, and DFM/DFA.
The Senior Motor Control Engineer designs, simulates, and validates motor control for humanoid robots, focusing on PMSM and BLDC systems. The role requires 3+ years of industry experience in motor control, PMSM modeling, and dynamometer testing.
The Senior Safety Compliance Engineer owns safety compliance strategy and certification for 1X humanoid robots. The role requires translating safety standards into engineering requirements and managing certification testing with external laboratories.
The role involves creating production-grade Class-A digital surfaces for humanoid robots using Autodesk Alias. Candidates must have 7+ years of professional surfacing experience and a portfolio demonstrating high-finish work.
The role involves owning software reliability and testing for a humanoid robot's full stack, including cloud, mobile, and embedded systems. Candidates must have strong software engineering experience, DevOps skills, and proficiency in Python plus a systems language.
The role involves owning the full-stack fleet operations platform for humanoid robots, including Go backend, TypeScript/React frontend, and Kubernetes deployment. Candidates must demonstrate strong architecture, concurrency, and production experience with real-time systems and observability.
The Senior Software Engineer role focuses on building state estimation, kinematics, and control systems for humanoid robots. Candidates must have 5+ years of experience in robotics, real-time C++, and state estimation.
The Senior Systems Engineer - Core role involves owning and improving real-time C++ infrastructure for NEO's sensor pipelines, motor control, and IPC. Candidates must have 5+ years shipping production C++ in performance-critical systems and demonstrate deep Linux and systems fluency.
The Senior Systems Engineer - Network role involves owning the design and execution of networking systems for 1X's humanoid robots, including topologies, load balancing, and multi-network connectivity. Candidates must have 6+ years of experience in network engineering or distributed systems, strong C++ proficiency, and proven production experience shipping large-scale network systems.
This role builds hardware engineering teams for 1X's humanoid robot NEO by hiring mechanical, electrical, actuator, systems, and test specialists. Candidates must have 4+ years of full-cycle recruiting experience in hardware engineering and a track record of sourcing passive senior talent.
The role involves developing and owning functional and end-of-line test stations for humanoid robot subassemblies across their full lifecycle. Candidates must have strong software development skills in Python and C++, along with hands-on electronics debugging and production operations experience.
The role involves building behavior systems and AI architectures for humanoid robots to enable autonomous decision-making and natural interaction. Candidates require 6+ years of experience in conversational AI or system architecture and a bachelor's degree in a related technical field.
This role leads the architecture and governance of 1X's workplace platforms and business systems ecosystem. The position requires 8+ years of experience in IT systems and scaling enterprise collaboration platforms.
This role owns the integrated product development and launch schedule for the 1X Developer Platform, coordinating software and hardware teams to drive the fastest credible path to product launch. Candidates must have 5+ years in software engineering or technical program management and experience managing complex multi-team initiatives.
The Simulation Engineer role focuses on building physically accurate virtual environments for humanoid robots to close the sim-to-real gap. Candidates must have strong programming skills in Python or C++ and experience with robotics simulators like MuJoCo or Isaac Sim.
This role involves developing softgoods products for humanoid robots from concept through mass production. Candidates must have five years of experience, a bachelor's degree in engineering, and strong CAD and fabrication skills.
This is a hands-on, entry-level Softgoods Development Technician role focused on building prototypes and samples for humanoid robots. Candidates must have 0-3 years of experience and a high school diploma, with skills in textiles, sewing, and CAD.
This role involves designing softgoods components for the NEO humanoid robot, managing the lifecycle from concept to mass production. Candidates must have 5-10 years of experience, a bachelor's degree in engineering, and a portfolio demonstrating expertise in textiles, foams, and elastomers.
The role involves designing and executing scalable backend systems for 1X's global robot operations, including fleet management and real-time control. Candidates must have 10+ years of software engineering experience and deep expertise in distributed systems and cloud architecture.
The Sourcing Manager role owns sourcing strategy and supplier management for facilities, construction, and infrastructure categories supporting 1X's site expansion. Candidates require 8+ years of experience in strategic sourcing or procurement with a bachelor's degree in a related field.
This role is a Senior HR People Partner responsible for organizational design, talent, and leadership for a defined client group. The position requires 8+ years of HR experience, including 5+ years as a dedicated HR Business Partner, and onsite work in San Carlos, CA.
The Sr. Buyer for Structures role focuses on executing sourcing strategies and managing supplier relationships for structural components of the NEO humanoid robot. Candidates must have a bachelor's degree and 2-4 years of experience in global sourcing or supply chain management, with specific knowledge of structural manufacturing processes.
The Staff Engineer role focuses on building and operating the internal ERP/MRP platform to support manufacturing, supply chain, and business operations. Candidates must have strong full-stack skills in Python and JavaScript, with experience in production systems, cloud platforms, and system architecture.
The Staff Firmware Engineer - Charger role involves developing and maintaining embedded firmware for the robot's charger subsystem, including power conversion and battery management. Candidates must have 5+ years of experience in C/C++ embedded development and strong knowledge of power conversion and lithium-ion charging protocols.
The role involves developing and maintaining motor control firmware for BLDC and PMSM actuators in humanoid robots. Candidates must have 5+ years of embedded firmware experience in C/C++ and expertise in field-oriented control and real-time systems.
The role involves leading the development of graphics, visualization, and immersive rendering systems for 1X's VR teleoperation platform. Candidates must have deep expertise in real-time graphics programming, C++ engineering, and low-latency video/audio transport.
The role involves owning the structural dynamics and validation strategy for robotic subsystems at 1X. Candidates must define load cases, develop validated models, and lead testing for shock, vibration, and durability.
This role involves serving as a senior talent partner to scale the manufacturing organization for humanoid robotics. Candidates must have 10+ years of full-cycle recruiting experience in technical environments and a track record of mentoring other recruiters.
The role involves designing and delivering mechanical systems for the NEO robot's head assembly, including components for cameras, sensors, and computing modules. Candidates must have a degree in mechanical engineering and at least three years of experience developing hardware for high-volume production.
The role involves building platform APIs for AI world models, including data validation and captioning, to support the NEO robot. Candidates need 5+ years of software engineering experience with production ML systems and strong Python or TypeScript skills.
This role involves owning the camera stack for 1X's humanoid robot, including sensor selection, pipeline development, and production calibration. Candidates must have 5+ years of experience shipping camera software and strong C++ skills for performance-critical systems.
The Supplier Development Engineer role focuses on industrializing motor and magnet suppliers for 1X's humanoid robots. Candidates must have a bachelor's degree and 6+ years of experience in supplier quality or manufacturing engineering.
The Tactile Sensing Research Engineer develops and tests tactile sensing systems to improve robotic manipulation capabilities. The role requires a PhD in a related field and demonstrated experience in experimental sensing technology development.
The Test and Validation Lead role involves directing a team to develop robust test strategies and complete-robot validation methods for humanoid robots. Candidates must have a bachelor's degree in engineering and at least five years of experience leading test and validation efforts for complex hardware.
The Test Engineer role involves building test infrastructure for robotic hands, including fixtures, instrumentation, and software. Candidates must have a bachelor's degree in engineering and experience developing test systems for complex electromechanical products.
The Validation Test Technician role involves executing thermal, mechanical, and electrical hardware tests for humanoid robots. Candidates must have at least two years of hands-on experience in test labs and proficiency with laboratory equipment and data collection.
The Buyer role supports procurement activities for mechanical, electrical, and electromechanical commodities by managing purchase orders and supplier communications. Candidates must have a bachelor's degree and at least two years of purchasing or supply chain experience in a manufacturing environment.
The Buyer II role manages procurement execution for electronics commodities, including PCBAs and sensors, to support engineering and production builds. Candidates require a bachelor's degree and at least four years of purchasing experience in hardware or manufacturing environments.
The Configuration Management Specialist owns product configuration data and change control processes across engineering, manufacturing, and supply chain. The role requires a bachelor's degree and 4+ years of experience in configuration management within a hardware manufacturing environment, with proficiency in PLM and ERP systems.
The Data Collection Manager leads and scales the team responsible for teleoperation data collection supporting robot learning at Agility Robotics. The role requires 6+ years of technical operations experience and 3+ years leading frontline teams, with a focus on throughput, data quality, and vendor management.
The Director of Engineering, Fleet Applications leads multiple full-stack and cloud services teams to deliver the Arc SaaS platform for Digit robot fleets. The role requires experience leading distributed engineering teams, managing technical roadmaps, and driving product vision for fleet operations and customer support applications.
The role leads the editorial and content strategy for humanoid robotics, building a trusted media presence and publishing operation. Candidates must have 8+ years of editorial leadership experience and the ability to translate complex technical concepts into engaging narratives.
The Director of Operations Program Management leads a team of program managers and owns a portfolio of high-complexity programs across operations and supply chain. The role requires 10+ years of leadership experience, 7+ years in manufacturing or operations, and the ability to drive cross-functional initiatives with high autonomy.
The Director, Product Quality leads Field Quality and Failure Analysis teams to ensure reliability and fleet health for deployed humanoid robots. The role requires 10+ years in quality engineering and 5+ years of people management, with expertise in root cause analysis and electromechanical failure analysis.
The Engineering Support Technician role involves supporting the development, testing, and debugging of electro-mechanical systems and robotic prototypes. Candidates must have experience with electronics prototyping, soldering, and troubleshooting complex systems, with an AS degree or equivalent experience required.
The Firmware Engineering Manager leads a team of senior embedded software engineers to develop low-level firmware for Agility's humanoid robots. The role requires 10+ years of robotics or systems experience, 2+ years of team management, and expertise in modern C++ and FreeRTOS.
The Global Supply Manager – Cable Harnesses role owns sourcing and commodity strategy for cable harnesses, wire assemblies, and interconnect components supporting humanoid platforms. Candidates must have a Bachelor's degree in Electrical Engineering and at least five years of procurement experience, with three years focused on cable harnesses.
The Global Supply Manager - PCBA role leads global sourcing and commodity strategy for printed circuit board assemblies and related electronic assemblies. The position requires a Bachelor's degree in Electrical or Electronics Engineering and at least 8 years of procurement experience, with 5+ years focused on PCBA or electronics commodity management.
The Logistics Specialist manages inbound and outbound shipments, inventory, and asset intake for a hardware and electronics facility. The role requires 3+ years of experience in shipping, receiving, or inventory control, along with proficiency in ERP systems and material handling equipment.
The role involves maintaining, repairing, and calibrating manufacturing test equipment to ensure production reliability. Candidates must have hands-on mechanical and electrical troubleshooting skills, soldering experience, and the ability to manage inventory and technical documentation.
The Accounting Manager leads the general accounting function, overseeing monthly financial close, U.S. GAAP compliance, and internal controls within a public company environment. The role requires a CPA with 7+ years of accounting experience and 3-5 years of people leadership, focusing on process improvement and audit coordination.
The Accounts Payable Manager leads and modernizes the procure-to-pay lifecycle during hyper-growth, focusing on scalable process design and public company readiness. The role requires 7+ years of AP experience, 2+ years of management, SOX compliance expertise, and hands-on NetSuite implementation skills.
The Financial Planning and Analysis Lead reports to the Sr. Director of Finance & Accounting and supports business strategy through budgeting, forecasting, and financial reporting. The role requires a Bachelor's or Master's degree in Finance, Accounting, or Business Management and at least five years of related financial or business analysis experience.
The Manager, Mechanical Engineering role involves leading a team of 4-8 engineers to execute robot design from concept to production. Candidates require 8+ years of mechanical design experience, 2+ years of management, and a degree in Mechanical Engineering.
The Mechanical Drafter role supports the design of Agility's Digit humanoid robot by creating and managing Creo CAD models and drafting. The position requires expertise in Creo, Windchill, and GD&T, with 5+ years of mechanical design experience.
The Mechanical Engineer role involves designing and prototyping electromechanical components for the next-generation Digit humanoid robot. Candidates must have 3-6 years of mechanical design experience and a degree in Mechanical Engineering or equivalent.
The Senior Mechanical Engineer role involves designing and prototyping electromechanical components for the next-generation Digit humanoid robot. Candidates must have 1-2 years of mechanical design experience and a B.S. or M.S. in Mechanical Engineering.
The Payroll Specialist processes biweekly payroll, validates data, and ensures compliance with federal, state, and local wage and hour laws. The role requires 2-4 years of progressive payroll experience, multi-state payroll knowledge, and strong attention to detail.
The PCB Layout and Interconnect Engineer develops robust electronics for Agility Robotics' humanoid robots, focusing on complex multi-layer PCB layouts and cable harness design. Candidates require a Bachelor's degree in Electrical Engineering and at least five years of experience with Altium Designer and IPC standards.
The People Operations Specialist manages new hire onboarding, HR administration, and company events across multiple offices. The role requires 1-3 years of experience in People Operations, an HRIS platform, and strong organizational skills.
This role serves as a strategic people partner to senior leaders in Software, AI/ML, Innovation, and Product Management. The candidate must have 8+ years of HR experience supporting technical organizations and strong skills in organizational design and change management.
The Principal Robotics Functional Safety Engineer leads safety strategy for complex robotic systems, ensuring compliance with standards like ISO 13849 and IEC 61508. The role requires 12+ years in robotics or safety-critical engineering, with 7+ years focused on functional safety and experience managing third-party verification activities.
The Principal Technical Program Manager role involves leading cross-functional teams to develop and launch complex robotics hardware and software products. Candidates must have 15+ years of experience in technical program management and 8+ years as a systems, hardware, or software engineer.
The Robotics Software Engineer I/II role involves developing, testing, and integrating robot skills for humanoid robots in customer workflows. Candidates must have 2+ years of experience, a degree in Robotics or Computer Science, and proficiency in Python and Linux.
The Senior AI Software Engineer, Perception role focuses on designing and deploying perception algorithms for Agility Robotics' humanoid robot, Digit. Candidates must have 5+ years of experience in machine learning for robotics and a Master's or Ph.D. in a related field.
The role involves developing and deploying reinforcement learning policies for humanoid locomotion, whole-body control, and manipulation. Candidates must have 4+ years of robotics experience, strong Python skills, and proficiency with deep learning frameworks like PyTorch.
The Senior Assembly Technician I role involves assembling, testing, and repairing humanoid robots at Agility's Salem, OR facility. Candidates require a high school diploma or GED, minimum two years of mechatronics or robotics assembly experience, and strong mechanical aptitude.
The role involves owning multi-channel demand generation programs and full-funnel campaign strategy across web, social, email, search, and paid media. Candidates require 7+ years of experience in demand generation or performance marketing, along with proficiency in marketing automation, CRM, and ABM platforms.
The Senior Deployment Specialist supports Agility's deployment strategy by performing robot operations, repair, and troubleshooting at customer sites. The role requires a bachelor's degree or equivalent experience in mechatronics, troubleshooting, and maintenance, along with strong communication and analytical skills.
The Senior Director of AI leads strategic and technical execution for AI and machine learning initiatives in humanoid robotics. The role requires an advanced degree, 8+ years of AI/ML experience, and 5+ years in senior leadership to manage teams, budgets, and real-time AI deployment.
The Senior Electrical Engineer role focuses on designing robust electronics for Agility's Digit humanoid robots. Candidates must have 7+ years of electrical design experience and proficiency with Altium for PCB layout and schematic entry.
The Senior Enterprise Applications Engineer administers and configures the NetSuite ERP platform, overseeing workflows, integrations, and system enhancements. The role requires 5+ years of experience in enterprise applications, NetSuite administration, and stakeholder collaboration to ensure platform stability and compliance.
The Senior Hardware Reliability Engineer role focuses on the reliability of integrated humanoid drive systems and robotic actuation sub-assemblies. Candidates must have 5-8+ years of experience in mechatronics and electromechanical systems, with expertise in reliability engineering, accelerated testing, and failure analysis.
The Senior Manager, Field Services Engineering leads a team of Deployment Specialists to manage the deployment lifecycle and field service operations for Agility Robotics' humanoid robots. The role requires 10+ years of field service or robotics experience, 5+ years of people management, and strong hands-on technical troubleshooting skills.
The Senior Manager, Learning from Demonstration leads AI/ML research to bridge cutting-edge robotics applications and product roadmaps. The role requires an advanced degree, 8+ years of AI/ML experience, and 3+ years in management, with expertise in computer vision, reinforcement learning, and LLMs.
The Senior Manager, Legal Operations provides strategic leadership to optimize legal processes and drive organizational efficiency. The role requires 10+ years of experience in legal operations or paralegal work, with significant leadership and management of complex workflows.
This role involves designing and driving the marketing operating engine, translating company goals into operational plans, and managing a high-performing team. Candidates must have 8+ years of experience in marketing programs, budget management, and cross-functional leadership.
The Senior Manager, Release and Issue Management role leads a team responsible for software issue triage, root cause analysis, and release management for humanoid robot fleets. The position requires 10+ years of engineering experience and 5+ years of team leadership in complex robotic or autonomous systems.
The Senior Manufacturing Test Engineer leads the development and optimization of scalable test infrastructure for robotic systems. The role requires deep expertise in electronics, embedded systems, and production test strategy, with a focus on mentoring engineers and driving best practices.
The Senior Manufacturing Test Engineer leads the development of scalable test infrastructure for robotic systems, requiring seven or more years of experience in test design and implementation. The role involves mentoring junior engineers, partnering with cross-functional teams, and owning the full lifecycle of manufacturing test platforms.
This role leads product strategy for Digit's perception and world understanding capabilities, requiring 5+ years of product management experience in robotics or AI. The position involves defining capability roadmaps, establishing performance metrics, and partnering with technical teams to mature autonomous robot features for production.
The Senior Test Operations Manager owns the operational heartbeat of Agility Robotics' robot validation program, focusing on maximizing fleet uptime and driving endurance testing. The role requires 5+ years of experience in test operations for complex electromechanical systems and proficiency with log analysis and issue management tools.
The Senior Robotics Mechanical Engineer role involves owning the prototype lifecycle of new electromechanical subsystems for Agility's humanoid robots. Candidates must have a BSME with 5 years of experience or an MSME with 3 years, along with proficiency in mechanical CAD software and practical fabrication experience.
The role involves architecting and building foundational ML infrastructure for humanoid robotics, including data processing, training, and model management. Candidates must have 5+ years of software engineering experience with at least 2 years in ML infrastructure or MLOps, and proficiency with cloud-native platforms and containers.
The Senior Solutions Engineer role involves leading the deployment and scaling of robotic systems across customer environments. Candidates must have 6+ years of experience in robotics or automation and expertise in Python, networking, and hardware/software interfacing.
The Senior Staff AI Software Engineer, Perception role owns the technical vision and system architecture for Digit's perception systems in dynamic environments. Candidates require 8+ years in machine learning for robotics, a Master's or Ph.D., and experience with safety-critical perception architectures.
This Senior Staff Data Scientist role focuses on building predictive maintenance and reliability models for Agility Robotics' humanoid fleet. The position requires 10+ years of experience in data science, a quantitative degree, and strong Python and SQL skills to drive technical direction for analytics.
The Senior Supplier Quality Engineer develops supplier quality strategy and metrics for critical hardware and electromechanical supply chains. The role requires a Bachelor's degree in engineering and 10+ years of experience in supplier quality, audits, and PPAP.
The Senior Supply Planner owns material availability and drives end-to-end supply strategy for raw materials and sub-assemblies. The role requires 5-7+ years of supply planning experience in complex manufacturing, ERP proficiency, and the ability to manage supplier readiness and lead time risks.
This role leads complex technical programs at the intersection of engineering, operations, and supply chain to scale humanoid production. Candidates require a bachelor's degree and 6+ years of experience in technical or supply chain program management for complex electromechanical hardware.
The Senior Technical Program Manager, Systems Integration role owns planning and execution for systems integration while supporting the stand-up of a new Hardware-in-the-Loop (HIL) test capability. The position requires 8+ years of experience in technical program management or hardware/robotics engineering, including 3+ years leading cross-functional technical programs.
The Senior Technical Recruiter manages full-cycle hiring for software and hardware engineering roles, partnering with hiring managers to source and engage technical talent. The role requires 5+ years of recruiting experience, strong LinkedIn sourcing skills, and the ability to manage multiple searches while maintaining accurate applicant tracking system records.
The Senior Technical Sourcer (Contract) leads top-of-funnel talent generation for critical engineering hiring initiatives across software, hardware, robotics, and AI. The role requires 4+ years of technical sourcing experience, expertise in LinkedIn Recruiter and GitHub, and the ability to build high-quality candidate pipelines.
The Senior Technical Support Specialist role involves leading the resolution of complex customer issues for Agility's robotics products and services. The position requires strong problem-solving skills, customer interaction aptitude, and deep expertise in the company's technology.
The Senior Triage & RCA Engineer role focuses on software issue triage and root cause analysis for humanoid robots. Candidates must have 4+ years of experience in systems integration or software-hardware interfaces and proficiency in log parsing and Python.
The Staff AI Engineer, Perception role owns the architecture and technical roadmap for object detection and tracking algorithms used by Agility Robotics' humanoid robots. Candidates must have 5+ years of experience deploying machine learning-based object detection on mobile robots and a Master's or Ph.D. in a related field.
The Staff Electrical Engineer drives robot hardware architecture and designs reliable hardware for the next generation of Digit. The role requires a degree in Electrical Engineering, 10 years of design experience, and expertise in PCB layout, embedded controls, and manufacturing.
The role involves leading deep-dive technical investigations into electromechanical and system-level field failures across deployed humanoid fleets. Candidates must have 6+ years of experience in failure analysis or reliability engineering for complex electromechanical systems.
The Staff Firmware Engineer role involves planning robot firmware architecture and developing robust C++ code for low-level sensor networks and controls. Candidates must have a BS in a related field and 10+ years of industry experience with modern C++ and embedded systems.
This role manages the complete hardware product development lifecycle from concept to General Availability for Agility Robotics' humanoid platforms. The position requires 10+ years of technical program management experience and strong cross-functional coordination across engineering, supply chain, and go-to-market teams.
The role involves leading the development of a modular Hardware-in-the-Loop ecosystem for the V5 humanoid robot, focusing on test automation and CI/CD pipelines. Candidates require at least five years of experience in test engineering and proficiency in Python, MATLAB/Simulink, and hardware protocols like EtherCAT.
The Staff Manufacturing Quality Engineer leads factory quality engineering across final assembly, sub-assembly, and testing operations. The role requires 8+ years of experience in manufacturing quality and expertise in statistical process control, PFMEA, and root cause analysis for electromechanical systems.
This role involves driving the electrical architecture for humanoid robotics platforms, ensuring the integration of core subsystems like sensing, compute, and actuation. Candidates must have 8+ years in robotics hardware, 5+ years in electrical system design, and experience leading electrical product development.
This role involves driving the controls, networking, and firmware architecture for humanoid robotics platforms. Candidates must have 8+ years of robotics platform software experience and 5+ years of controls system development.
This role involves driving early architectural decisions for humanoid robotics platforms by creating high-fidelity simulation tools and digital twins. Candidates must have 8+ years of experience in dynamic simulation and robotic system design, with strong skills in controls and architecture.
The role involves architecting and scaling production-quality software for humanoid robot teleoperation and data collection systems. Candidates must have 7+ years of experience in robotics or real-time systems and strong skills in C++ or Rust.
The Staff Software Engineer role focuses on designing and maintaining scalable data infrastructure for humanoid robotics fleets. Candidates must have 5+ years of experience building cloud-based data platforms and proficiency in big data frameworks like Spark and Kafka.
This role involves owning the development of low-level C++ software for humanoid robots, focusing on hardware interfaces, safety, and diagnostics. Candidates must have an MS in a related field, 8+ years of experience, and strong expertise in modern C++ and Linux systems.
This role involves defining system-level architecture and functional safety requirements for Agility Robotics' humanoid platform. Candidates must have 8+ years of systems engineering experience in safety-critical domains and 3+ years with functional safety standards.
The Staff Systems Integration Engineer role involves owning the strategy for bringing up and integrating new humanoid robotic systems. The position requires 8+ years of experience in systems integration, cross-functional collaboration, and root cause analysis for complex mechatronic systems.
The Strategic Account Manager role involves managing relationships with existing and new strategic customers for Agility Robotics' Digit humanoid. Candidates must possess extensive B2B sales experience, strong consultative skills, and the ability to lead complex sales cycles.
The Systems Integration Engineer III role involves owning the integration of robotic subsystems from planning through bring-up and hand-off. Candidates must have a Bachelor's or Master's degree and 3+ years of experience in systems integration, test, or hardware bring-up for electromechanical or robotic systems.
This role leads the Strategic Program Management Office, building and managing a team of Technical Program Managers to oversee new product launch programs. Candidates require 12+ years of technical program management experience, 5+ years in people leadership, and a background in hardware or robotics NPI.
The role involves engineering systems to maximize hardware utilization and training throughput on large-scale GPU clusters for foundation model pre-training. Candidates must be proficient in Python, PyTorch, and distributed systems, with deep understanding of CUDA and profiling tools.
The role involves building and improving the model training pipeline for foundation models in Heidelberg or Berlin. Candidates must demonstrate strong software engineering skills, including refactoring, testing, and system design, to enhance pipeline robustness and performance.
The role involves owning architecture, optimization, and scaling for next-generation foundation models on large GPU clusters. Candidates must have strong Python/PyTorch skills, mathematical foundations, and experience pre-training large models on substantial infrastructure.
The role involves designing and scaling post-training methodologies for LLMs to reduce hallucinations and improve grounding. Candidates must have hands-on experience with distributed training frameworks and strong Python and PyTorch skills.
This role involves owning the design for AI products supporting environmental conservation, including Skylight and OlmoEarth. Candidates need 8+ years of product design experience, strong fundamentals, and the ability to design complex, data-intensive web applications.
This role is a Predoctoral Young Investigator position within Ai2's AllenNLP team, focused on language-model based AI and natural language processing. Candidates must hold a bachelor's or master's degree in a relevant field and be preparing to enter a PhD program within the next 1-3 years.
The role involves developing an AI-powered physics-informed hybrid climate model for multidecadal forecasts. Candidates must have 2-4 years of experience building ML applications, fluency in Python, and a relevant bachelor's degree.
This is a 12-week research internship at Ai2's Asta Project in Seattle, focused on AI for science. Candidates must be PhD students with research experience in Computer Science, a publication record in AI venues, and strong software engineering skills.
This role is a 12-week research internship on Ai2's Open Ecosystem team, focusing on open foundation models like Olmo and Molmo. Candidates must be pursuing a doctoral degree or be a master/undergraduate student with strong research experience in machine learning and software engineering skills, particularly with deep learning frameworks.
This role is a 12-week research internship in the Robotics department at Ai2 in Seattle, WA. Candidates must be pursuing a PhD in robotics, machine learning, or related fields with experience in AI and robotics research.
The role involves leading foundational research to advance agentic systems and AI reasoning capabilities at Ai2. Candidates must have a PhD in machine learning or related fields and experience with agentic orchestration, reinforcement learning, or language models.
The role involves developing an AI-powered physics-informed hybrid climate model for multidecadal forecasts. Candidates must have a Ph.D. in a relevant science, substantial ML experience, and fluency in Python.
The role involves developing and investigating core research problems in foundation models for robotics at Ai2. Candidates must have a strong PhD-level foundation in robot manipulation, planning, or simulation, along with a strong publication record and software engineering skills.
The Robotics Engineer role involves developing control stacks and sim-to-real pipelines for robot learning projects at Ai2. Candidates must have a master's degree or PhD with three years of experience, or a bachelor's degree with three years of industry experience, plus strong Python and robotics skills.
This role involves owning the engineering and data frameworks for Asta, an agentic platform for scientific research, and the Semantic Scholar data platform. Candidates must have 5-8+ years of product management experience, translating ambiguous research needs into concrete engineering requirements and sequenced roadmaps.
The role involves building infrastructure and training open-source models like Olmo and Molmo at Ai2. Candidates need 8 years of industry experience, 4+ years in ML infrastructure, and proficiency in Python and major ML frameworks.
The role involves training fully open foundation models to accelerate scientific discovery, with a focus on agentic training and multimodal data. Candidates must have significant experience building and training modern foundation models, including developing training pipelines and curating high-quality data.
The role involves building and operating an agent platform for conservation and climate solutions, including core services, UIs, and SDKs. Candidates need 8+ years of software engineering experience across web, backend, and cloud tooling, with a track record of shipping products to external users.
The role involves developing an AI-powered physics-informed hybrid climate model for multidecadal forecasts. Candidates must have a Ph.D. in a relevant science field, substantial ML experience, and fluency in Python.
Ai2 seeks a Postdoctoral Young Investigator to develop multimodal language models for single-cell brain data using open-source tools. The role requires a PhD, experience training transformer models, and strong Python and PyTorch skills.
The Senior Manager, 3P Revenue Accounting & Reporting role owns revenue recognition and month-end close for Claude sold through AWS, Google, and Microsoft cloud channels. The position requires strong ASC 606 knowledge, SQL skills, and experience managing external partner relationships and SOX controls.
The role involves conducting exploratory experimental research on AI safety and alignment, focusing on risks from powerful future systems. Candidates need significant software, ML, or research engineering experience and familiarity with technical AI safety research.
This role involves managing a team of expert researchers and engineers on Anthropic's Interpretability team to advance mechanistic understanding of large language models. Candidates must have 2-5 years of experience leading technical teams, a background in machine learning or AI, and strong project management and communication skills.
This role is a pre-sales architect on Anthropic's Applied AI team focused on building technical relationships with system integrators and cloud partners. Candidates need 5+ years in technical customer-facing roles, experience with cloud architectures, and strong communication skills.
The role is an Enterprise Account Executive based in Singapore, responsible for driving adoption of Anthropic's AI systems across Southeast Asia. Candidates must have 12+ years of enterprise sales experience with digital-native businesses and a Bachelor's degree.
The role involves driving the adoption of safe, frontier AI across Southeast Asian governments based in Singapore. Candidates must have 12+ years of enterprise sales experience in public sector markets and navigate complex procurement and security frameworks.
This role involves driving adoption of Anthropic's AI systems by securing strategic deals with startups and enterprises. Candidates must have 4+ years of experience in consultative sales, complex sales cycles, and selling to technical stakeholders.
This role involves driving adoption of Anthropic's AI systems by securing strategic partnerships with nonprofit organizations. The ideal candidate must have at least three years of experience in consultative sales and complex stakeholder management.
This role involves pioneering the adoption of safe, frontier AI across EMEA by securing strategic deals with fast-growing technology companies. The ideal candidate requires 5+ years of technical sales experience, consultative expertise, and a passion for emerging technologies.
This role involves driving adoption of safe, frontier AI by securing strategic deals with fast-growing startups. The ideal candidate has 4+ years of experience in consultative sales, complex sales cycles, and exceeding revenue quotas.
The Activation Manager guides customers from contract signature to production deployment of Claude products, focusing on technical integration and adoption. The role requires 5+ years in customer-facing technical roles and hands-on experience with enterprise identity integration, SAML, and SCIM provisioning.
This role manages AI infrastructure demand planning by converting forecasts into per-tranche requirements and tracking delivery from contract to occupancy. Candidates need significant experience with large-scale infrastructure, SQL, Python, and technical planning.
This role involves partnering with Financial Services customers to drive adoption of Claude Enterprise, Claude Code, and API capabilities. Candidates need 6+ years in Customer Success or Technical Account Management and deep knowledge of FSI regulatory and compliance needs.
This role serves as a strategic partner to complex Systems Integrator customers, helping them scale usage of Claude capabilities across API, Enterprise, and Code products. Candidates need 6+ years in Customer Success or Technical Account Management, along with technical fluency in AI/ML concepts and experience with consumption-based and seat-based business models.
This role involves partnering with strategic enterprise technology customers to drive adoption and scale usage of Anthropic's Claude capabilities. Candidates must have 6+ years of experience in Customer Success or Technical Account Management and demonstrate technical fluency with AI/ML concepts.
The Anthropic Fellows Program offers a four-month, full-time research position focused on AI safety and security. Candidates must be fluent in Python and available to work full-time, with a strong technical background in computer science, mathematics, or physics.
The Anthropic Fellows Program offers a four-month, full-time research position in ML Systems or Reinforcement Learning with mentorship and compute funding. Candidates must have strong software engineering skills, experience with complex ML systems, and fluency in Python.
The Anthropic Fellows Program in Economics & Policy offers a four-month, full-time research position with mentorship and a weekly stipend. Candidates must be fluent in Python and available to work full-time, with prior experience in economics or policy being a plus but not required.
This is a paid, fixed-term research residency for individuals with ambitious technical backgrounds to transition into full-time AI safety work. Candidates must be motivated by making AI safe and beneficial, capable of implementing ideas quickly, and able to communicate clearly in a collaborative environment.
This is a paid, fixed-term research residency for individuals with ambitious technical backgrounds to transition into full-time AI safety work. Candidates must be motivated by making AI safe and beneficial, capable of implementing ideas quickly, and able to communicate clearly in a collaborative environment.
The role involves establishing an in-region enablement presence in Sydney to support the APAC field across GTM functions. Candidates must have 8+ years of GTM enablement experience and a track record of designing practice-first programmes.
This role involves coordinating high-volume APAC interview loops and serving as the primary point of contact for candidates and interviewers. Candidates must have 4+ years of recruiting coordination experience, proficiency with applicant tracking systems, and strong written communication skills.
The APAC Tax Lead role involves owning direct tax compliance and advisory for Asia-Pacific entities, including Japan, Korea, India, Singapore, Australia, and Taiwan. Candidates must have strong technical knowledge of corporate tax in major APAC jurisdictions, deep experience with transfer pricing and withholding tax, and a CPA, CA, CTA, or equivalent qualification.
The Applied AI Architect role involves serving as a pre-sales technical advisor to enterprise customers in Japan, guiding them through the discovery, evaluation, and deployment of Claude. Candidates must possess native-level Japanese fluency, business-level English, and experience in technical customer-facing roles such as Solutions Architect or Sales Engineer.
The Applied AI Architect role involves serving as a pre-sales technical advisor to help enterprise customers in South Korea integrate and deploy Claude. Candidates must have native-level Korean fluency, business-level English, and experience in technical customer-facing roles such as Solutions Architect or Sales Engineer.
The Applied AI Architect role involves serving as a pre-sales technical advisor to help enterprise customers in India and APAC integrate Claude into their technology stacks. Candidates must have 10+ years of experience in technical customer-facing roles and strong skills in cloud architecture and LLM solutions.
The Applied AI Architect role involves serving as a pre-sales technical advisor to help enterprise customers in India and APAC integrate Claude into their technology stacks. Candidates must have 10+ years of experience in technical customer-facing roles and strong skills in cloud architecture and LLM solutions.
The Applied AI Architect role focuses on enabling scientists to use Claude and Claude Science through workshops, demos, and community building. Candidates need hands-on experience with AI tools for science, credibility as a scientist, and skills in building LLM API demos.
This role involves serving as a Pre-Sales architect to advise customers on integrating Claude into their technology stacks. Candidates must have strong technical skills, including Python and cloud architecture, along with customer-facing experience.
This role involves serving as a security expert for enterprise accounts to help integrate Claude into security workflows. Candidates need 5+ years of security experience and proficiency in Python, CI/CD, and cloud environments.
The role is a Pre-Sales architect for Anthropic's Applied AI team in Munich, focused on advising enterprise customers on integrating Claude. Candidates need 5+ years of technical customer-facing experience, native German and fluent English, and expertise in scalable cloud architectures.
This role is a Pre-Sales architect for Anthropic's Applied AI team, serving as a technical advisor to help enterprises integrate and deploy Claude. Candidates need 5+ years of experience in technical customer-facing roles, strong communication skills, and expertise in scalable cloud architectures.
This role is a Pre-Sales architect for Anthropic's Applied AI team, serving as a technical advisor to help large enterprises integrate and deploy Claude. Candidates must have 5+ years of experience in technical customer-facing roles and strong skills in cloud architecture and LLM solutions.
This role is a pre-sales architect for Anthropic's Applied AI team, focused on advising large enterprises on integrating Claude into their technology stacks. Candidates must have 5+ years of experience in technical customer-facing roles and strong skills in cloud architecture and LLM solutions.
The Applied AI Architect role involves serving as a pre-sales technical advisor to help large enterprises integrate and deploy Claude. Candidates must have 5+ years of experience in technical customer-facing roles and strong communication skills to guide customers from discovery to deployment.
The Applied AI Architect role involves serving as a pre-sales technical advisor to help large enterprises integrate and deploy Claude. Candidates must have 5+ years of experience in technical customer-facing roles and native or C1 German language skills.
This role serves as a technical advisor to governments and international institutions, helping them understand and safely apply frontier AI systems. Candidates need 4+ years of experience in engineering or policy, strong communication skills, and proficiency in at least one programming language.
This role is a Pre-Sales architect focused on cultivating technical relationships with Global and Regional System Integrators and cloud partners to accelerate indirect revenue. Candidates need 5+ years of experience in technical customer-facing roles, strong communication skills, and familiarity with scalable cloud architectures and LLM frameworks.
The role is a pre-sales architect focused on cultivating technical relationships with global system integrators and cloud partners to accelerate indirect revenue. Candidates require 5+ years of experience in technical customer-facing roles and strong skills in cloud architecture and LLM frameworks.
The role is a Pre-Sales architect focused on cultivating technical relationships with Global and Regional System Integrators and cloud partners. Candidates need 10+ years of experience in technical customer-facing roles and strong skills in cloud architecture and LLM frameworks.
The Applied AI Architect role focuses on pre-sales technical partnerships with global system integrators and cloud providers to accelerate indirect revenue. Candidates need 5+ years of experience in technical customer-facing roles, strong communication skills, and familiarity with scalable cloud architectures and LLM frameworks.
The role is a Pre-Sales architect focused on cultivating technical relationships with Global and Regional System Integrators and cloud partners. Candidates need 10+ years of experience in technical customer-facing roles and strong skills in cloud architecture and LLM frameworks.
The Applied AI Architect supports national security mission programs by serving as a technical advisor for Claude integration and deployment. The role requires a TS/SCI clearance, prior intelligence community experience, and expertise in cyber operations, cryptography, or classified systems.
This role is a Pre-Sales architect for the Applied AI team, serving as a technical advisor to federal civilian agencies on Claude integration. Candidates must have 5+ years in technical customer-facing roles and experience with US federal agencies.
This role is a Pre-Sales architect for the Applied AI team, serving as a technical advisor to GovTech customers on Claude integration. Candidates need 5+ years in technical customer-facing roles, strong communication skills, and experience with scalable cloud architectures.
The Applied AI Architect role involves partnering with startups to architect LLM solutions and win technical evaluations on the Claude platform. Candidates need 3+ years in technical customer-facing roles, strong builder credibility, and proficiency in Python and LLM frameworks.
This role involves partnering with startups to architect LLM solutions on the Claude Developer Platform and win technical evaluations. Candidates need 5+ years in technical customer-facing roles, strong builder credibility, and proficiency in Python and LLM frameworks.
This role is a Pre-Sales architect for Anthropic's Applied AI team, focusing on strategic enterprise accounts to advise on Claude integration and deployment. Candidates need 8+ years of experience in technical advisory roles, strong communication skills, and expertise in scalable cloud architectures and LLM frameworks.
The role is a Pre-Sales architect focused on cultivating technical relationships with Global and Regional System Integrators and cloud partners. Candidates must have 5+ years of experience in technical customer-facing roles and strong communication skills.
This role is a Pre-Sales architect focused on cultivating technical relationships with Global and Regional System Integrators and cloud partners. The position requires 5+ years of experience in technical customer-facing roles and strong skills in cloud architecture and LLM frameworks.
The Applied AI Demo Engineer builds demos, reference implementations, and reusable tooling to make Claude capabilities tangible for customer-facing teams. The role requires proficiency in Python or TypeScript, experience building applications on LLM APIs, and the ability to communicate technical concepts to diverse audiences.
The Applied AI Engineer supports nonprofits and research institutes in clinical development for rare and neglected diseases by using Claude to design trials and repurpose approved medicines. The role requires hands-on clinical development experience, strong engineering skills for LLM tools, and comfort with biomedical data.
The Applied AI Engineer role focuses on deploying the Model Hardware Standard to labs to automate scientific experiments with Claude. Candidates need hands-on experience connecting software to lab robots and strong engineering skills to build production code and evaluations.
The Applied AI Engineer role focuses on maximizing Claude's impact in life sciences by building technical infrastructure and agents for research partners. Candidates need 4+ years of software engineering experience, deep life sciences research background, and skills in LLM-powered tool development.
The Applied AI Engineer serves as a technical advisor to enterprise customers deploying the Claude API, guiding them from discovery through deployment. The role requires 4+ years of experience, proficiency in Python or TypeScript, and production experience with LLMs, prompt engineering, and evaluation frameworks.
The Applied AI Engineer guides French enterprise clients in deploying Claude, advising engineering teams on architecture and agent design while presenting value cases to executives. The role requires native or fluent French, 6+ years of software engineering experience, and a background in pre-sales or technical advisory roles.
The Applied AI Engineer role guides German enterprise customers to deploy Claude, serving as a technical advisor on architecture and agent design. Candidates must have native or fluent German, 6+ years of engineering experience, and a background in pre-sales or technical advisory roles.
The Applied AI Engineer supports national security mission programs by advising on Claude architecture, developing evaluation frameworks, and guiding deployment in secure environments. The role requires a TS/SCI clearance, prior US intelligence community experience, and strong Python or TypeScript programming skills.
This role involves serving as a technical advisor to help companies build on the Claude Developer Platform. Candidates must have 4+ years of software engineering experience and proficiency in Python.
This role serves as a technical advisor to life sciences startups, helping them build products and research pipelines using Claude. Candidates need 4+ years of technical experience and deep domain knowledge in areas like genomics or drug discovery.
This role serves as a technical advisor to AI-native startups in physical industries, leading deep engagements to integrate Claude into hardware and software workflows. Candidates require 4+ years of engineering experience, strong AI expertise, and the ability to bridge AI capabilities with physical engineering domains.
This role serves as a pre-sales security expert for enterprise healthcare and life sciences customers, focusing on Claude's security architecture and compliance. Candidates need 8+ years of experience in enterprise security, cloud architecture, or technical pre-sales within regulated industries.
The Applied AI Research Engineer role involves embedding with product teams to test models, build demos, and support customer adoption. Candidates need 6+ years of technical experience, proficiency in programming, and strong communication skills to translate field insights into product improvements.
This role manages the external audit calendar and SOX 404 program for Anthropic's IPO transition, coordinating with external auditors and control owners. Candidates require Big 4 SOX experience, knowledge of COSO and ICFR, and the ability to manage complex programs without direct authority.
This role manages Anthropic's integrated audit program across SOC 2, HIPAA, and ISO 27000 frameworks, including planning new audits and gap assessments. Candidates need several years of program management experience, external security audit knowledge, and the ability to build audit automation.
This role involves owning autonomous security systems, including drones and ground robots, for data center perimeter patrol and inspection. Candidates must have field experience engineering autonomous or sensing systems and integrating them into security platforms.
The AV Engineer designs and implements audio-visual systems for new office builds and expansions to support collaboration. The role requires 8+ years of enterprise AV experience and proficiency with Q-Sys control systems.
The AV Engineer designs and implements audio-visual systems for new office builds and expansions across a global portfolio. The role requires 8+ years of enterprise AV experience, proficiency in Q-Sys control programming, and the ability to manage complex integrated systems.
The AV Engineer, Platform & Automation role builds and maintains internal software tools for managing AV and collaboration systems across offices. Candidates must have 10+ years of experience in AV or IT systems engineering and 4+ years writing production code.
The AV Operations Specialist is accountable for the health and performance of office AV spaces, support requests, and event coverage in New York City. The role requires 8+ years of hands-on experience in AV operations, technical event support, and the ability to diagnose and resolve complex audio and video issues.
The AV Production Specialist owns the technical execution of live and hybrid events, including executive presentations and company-wide broadcasts. The role requires 8+ years of hands-on experience in AV operations and live event production, with fluency in audio, video, camera, and streaming systems.
This role leads the go-to-market strategy for systems integrator partnerships through AWS, focusing on building joint pipeline and revenue. Candidates must have 12+ years of enterprise partnerships experience and a track record of scaling co-sell motions.
This role leads the go-to-market strategy for public sector and nonprofit partnerships through AWS, focusing on building joint pipeline and revenue. Candidates must have enterprise partnerships experience, a TS/SCI security clearance, and a track record of scaling co-sell motions in the public sector.
This role leads brand measurement and insights at Anthropic, owning recurring executive readouts and brand health tracker studies. Candidates must be fluent in SQL and Python or R, with experience in causal inference, media mix modeling, and dashboard management.
The Business Development Representative role at Anthropic involves driving AI adoption by optimizing lead management and identifying market opportunities. Candidates need 2-3+ years of experience in lead management, project management, or related fields, along with strong analytical skills and a Bachelor's degree.
The role is a full-cycle Business Recruiter in London responsible for sourcing, screening, and closing candidates for G&A or Go-To-Market functions across EMEA. Candidates must have at least four years of recruiting experience in either G&A or GTM hiring and demonstrate strong stakeholder management and organizational skills.
The role is a full-cycle recruiter for G&A or GTM functions across EMEA, responsible for sourcing, screening, and closing candidates. Candidates must have 4+ years of recruiting experience and strong stakeholder management skills.
The Business Systems Analyst role focuses on designing and maintaining GTM processes within Salesforce, partnering with leadership to shape data models and workflows. Candidates must have experience in GTM systems, strong Salesforce skills, and the ability to bridge strategic planning with technical implementation.
This role owns the systems side of new product and pricing launches, ensuring quote-to-cash processes are ready on day one. Candidates must have hands-on experience with Salesforce CPQ, revenue systems, and cross-functional launch coordination.
This role leads the deployment of compute capacity across partner-operated data centers, managing the lifecycle from construction kickoff to ready-for-service. Candidates must have 8+ years of experience in data center operations or hardware deployment, with a proven track record of leading large-scale compute or network hardware deployments.
The Channel Partner Manager for Korea builds and manages strategic partnerships with System Integrators and resellers to accelerate Anthropic's adoption in the Korean market. The role requires experience in channel management, fluency in Korean and English, and the ability to build processes in a new market.
The Channel Partner Manager, Public Sector role owns Anthropic's reseller and distributor relationships across US federal, state, and local government. The position requires 7+ years in channel or partner roles, with at least 3 years focused on the US public sector, and involves building channel operations and partner management processes.
The Cloud Hyperscaler Readiness Lead builds scalable programs to support cloud partners (AWS, Google Cloud, and Microsoft Azure) in selling Claude. The role requires developing content and training for sellers, managing partner enablement, and measuring impact on pipeline and seller engagement.
The role supports Go-to-Market teams by drafting and negotiating enterprise agreements and customer contracts. Candidates must hold a law degree and experience in commercial transactions.
The role involves negotiating high-volume hardware and technology agreements while managing legal risks for procurement and partnerships. Candidates must have a U.S. law degree and experience with complex deals, supply chains, and trade compliance.
The role involves drafting and negotiating commercial agreements for AI safety and research, partnering with internal teams to support deployments and partnerships. Candidates must hold a law degree and experience in commercial transactions, with strong communication skills for non-legal audiences.
This role involves implementing AI-powered solutions to streamline legal operations, including contract review and workflow automation. Candidates must have experience with legal technology platforms and hands-on experience with LLM tools to drive AI adoption.
This role manages Commercial Launches to transform infrastructure into a revenue accelerator, requiring end-to-end execution of launch processes and cross-functional collaboration. The ideal candidate has 10+ years in operations, with experience in billing, payments, or commercial operations, and a track record of scaling programs in high-growth environments.
This role owns external communications for the Claude Platform API, including capability releases and developer-facing news. Candidates need experience in communications or product marketing with a focus on platform, API, or enterprise products.
The Communications Manager for Safeguards develops strategies to explain Anthropic's AI safety work to diverse audiences. The role requires 8+ years of communications experience, strong media relations skills, and the ability to translate complex technical information into compelling narratives.
The Communications Manager role involves driving research tracking, publication strategy, and reactive press for The Anthropic Institute's Economic Research and Societal Impacts teams. Candidates must have deep communications experience in research or policy, strong media relationships, and the ability to translate complex quantitative findings into public narratives.
This role serves as Anthropic's on-the-ground presence in Indiana and Kentucky data center markets, building trusted relationships with local officials and community stakeholders. The manager develops engagement strategies across site selection and operations, requiring strong coalition-building and communication skills.
This role serves as Anthropic's on-the-ground presence in Louisiana data center markets, building trusted relationships with local officials and community stakeholders. The manager develops engagement strategies across site selection and operations, requiring strong coalition-building and communication skills.
This role serves as Anthropic's on-the-ground presence in Montana and Utah data center markets, building trusted relationships with local officials and community stakeholders. The manager must develop engagement strategies, represent the company in public forums, and coordinate community investment across the project lifecycle.
The Community Engagement Manager serves as Anthropic's on-the-ground presence in New York data center markets, building trusted relationships with local officials and community stakeholders. The role requires experience in community or public affairs, strong relationship-building skills, and the ability to represent the company in public forums.
This role serves as Anthropic's on-the-ground presence in Texas data center communities, building relationships with local officials and residents. Candidates must have experience in community affairs or government relations and strong communication skills.
This role serves as Anthropic's on-the-ground presence in Virginia and West Virginia data center markets, building trusted relationships with local officials and community stakeholders. The manager develops engagement strategies across site selection and operations, requiring strong coalition-building and communication skills.
The Community Engagement Manager serves as Anthropic's on-the-ground presence in Australian data centre communities, building trusted relationships with local officials and residents. The role requires experience in community or public affairs, strong relationship-building skills, and the ability to represent the company in public forums.
The role is a Country Lead responsible for owning Anthropic's compute strategy in Canada, including site selection, leasing, energy, and government relations. The position requires leading cross-functional teams without direct authority and representing the company to senior government and industry stakeholders.
The role is a Country Lead for Anthropic's compute strategy in Japan, responsible for coordinating cross-functional teams to bring gigawatts of compute online. The position requires strong leadership without direct authority, excellent communication with government stakeholders, and a background in energy or infrastructure.
The role is a Country Lead responsible for owning Anthropic's compute strategy in Korea, including site selection, leasing, energy, and government relations. The position requires leading cross-functional teams without direct authority and representing the company to senior government and industry stakeholders.
This role owns content strategy for executive programs, including briefings and advisory boards, for senior customer audiences. The candidate must have a product marketing background, experience managing a team, and the ability to build and maintain a content library.
The role involves drafting, reviewing, and negotiating complex commercial and technology contracts for Anthropic's EMEA region. Candidates must have substantive knowledge of software and SaaS agreements and experience managing the full contract lifecycle for technology transactions.
The Contracts Manager supports commercial and technology transactions by drafting, reviewing, and negotiating complex agreements with enterprise customers and vendors. The role requires substantial experience in technology transactions, strong negotiation skills, and the ability to manage complex matters autonomously in a fast-paced environment.
This role owns the Common Control Framework for Security GRC, managing mappings to SOC 2, ISO 27001, HIPAA, and FedRAMP. Candidates must have several years of experience in IT audit or security compliance and strong skills in control framework ownership and continuous monitoring.
This role involves shaping brand-led developer writing and co-owning the developer voice and tone guide at Anthropic. Candidates must have 8+ years of experience writing for technical audiences and a portfolio demonstrating both technical and brand work.
The role is an Accountant on the Corporate Accounting team responsible for month-end and quarter-end close activities, including journal entries, accruals, and reconciliations. Candidates must have hands-on experience with US GAAP, account reconciliations in an ERP system, and strong spreadsheet skills.
The role involves leading legal workstreams for M&A transactions, including acquisitions and joint ventures, from due diligence through post-closing integration. Candidates must hold a law degree and experience drafting transaction documents, with a deep understanding of domestic and cross-border deal structures.
This role leads corporate development strategy for life sciences and biotech, focusing on acquisitions, investments, and partnerships with AI-native companies. Candidates must have deep domain knowledge, technical AI fluency, and a track record of closing complex transactions.
This role involves driving strategic initiatives, including sourcing and executing acquisitions and partnerships, while partnering with leadership to shape growth strategy. The ideal candidate must possess strong technical understanding, financial modeling skills, and experience leading complex M&A transactions in technology sectors.
This role involves owning customer evidence strategies for major product launches and special projects at Anthropic. The manager must identify customers to support key claims, create customer stories for multiple channels, and collaborate with Product Marketing, Sales, and Brand teams.
This role manages the Executive Briefing program at a specific location, overseeing end-to-end execution from intake to day-of orchestration. The position requires experience running executive events, designing agendas for C-level audiences, and managing cross-functional stakeholders to maintain global program standards.
The Customer Programs Manager builds the operational foundation for Anthropic's customer marketing engine, focusing on scaling co-marketing programs and measurement systems. Key requirements include managing agency coordination, budget reconciliation, and customer intake tooling, with a minimum of 7+ years in B2B SaaS marketing.
This role is an early Singapore-based Customer Success Manager for Anthropic, serving as a strategic advisor to complex enterprise customers across ASEAN. The position requires 8+ years of customer-facing experience, Mandarin fluency, and technical fluency with AI/ML concepts and API integrations.
This role involves serving as a strategic partner to complex EMEA customers to help them maximize the value of Anthropic's Claude products. Candidates must have 6+ years of customer-facing experience, technical fluency with AI/ML concepts, and strong project management skills.
This role is the first Korea-based Customer Success Manager at Anthropic, responsible for building strategic partnerships with enterprise customers to drive adoption of Claude Enterprise, Claude Code, and the API. Candidates must have 6+ years of customer-facing experience, technical fluency in AI/ML concepts, and fluency in both English and Korean.
The Customer Success Manager role involves partnering with complex DACH customers to maximize the value of Anthropic's Claude products, including API, Claude for Enterprise, and Claude Code. Candidates must have 6+ years of customer-facing experience, technical fluency in AI/ML concepts, and strong strategic and project management skills.
The Customer Success Manager role involves partnering with complex Japanese customers to maximize the value of Anthropic's Claude products, including API, Claude for Enterprise, and Claude Code. Candidates must possess customer-facing experience, technical fluency in AI/ML concepts, and fluency in both English and Japanese.
This role involves partnering with life sciences organizations to drive adoption of Claude through strategic guidance and change management. Candidates need 6+ years in customer success or related fields and 3+ years in life sciences research.
This role involves supporting EMEA-based nonprofits as a strategic partner to drive activation and adoption of Claude across Enterprise, Code, and API. Candidates need 5+ years of customer-facing experience, technical fluency with AI/ML, and the ability to manage high-touch strategic accounts.
This role involves driving AI adoption for the Commercial segment by serving as a strategic advisor to customers on Claude products. Candidates need 4+ years of experience in Customer Success or Technical Account Management with technical fluency in AI/ML concepts.
This role involves partnering with enterprise technology leaders to drive adoption of Claude capabilities across API, Claude Code, and Cowork. Candidates need 6+ years in Customer Success or Technical Account Management, along with technical fluency in AI/ML concepts and experience managing complex enterprise accounts.
This role involves serving as a strategic partner to enterprise customers in the Industries segment to drive adoption of Claude products. Candidates need 6+ years of experience in Customer Success or Technical Account Management and technical fluency with AI/ML concepts.
This role serves as a post-sales trusted advisor for national security customers, driving adoption of Claude on classified infrastructure. Candidates must have 5+ years of customer-facing experience, a TS/SCI clearance, and technical fluency with AI/ML concepts.
The Customer Success Manager role supports complex EMEA customers in maximizing the value of Anthropic's Claude products, including API, Claude for Enterprise, and Claude Code. Candidates must have over six years of customer-facing experience, strong technical fluency in AI/ML concepts, and the ability to manage strategic partnerships and usage optimization.
This role involves serving as a strategic partner to a major enterprise customer, driving adoption of Claude capabilities across API, Claude Code, and Cowork. Candidates need 8+ years in Customer Success or related fields, technical fluency in AI/ML, and experience managing complex, matrixed organizations.
The Cyber Evaluations Engineer role involves designing and running evaluations to measure cyber-relevant capabilities and safeguard robustness in AI models. Candidates must have experience building evaluations, hands-on cybersecurity skills, and proficiency in Python.
The Cybersecurity Sales Specialist role involves owning Anthropic's security business within a specific business unit and leading security strategy with CISOs. Candidates must have experience selling cybersecurity products to enterprise customers and deep expertise in at least one security domain.
This role is a Principal Data Center Architect responsible for civil, structural, and architectural design standards for Anthropic's AI compute facilities. Candidates must have 10+ years of experience in mission-critical infrastructure, with at least 6 years in hyperscale data center CSA design and proficiency in applicable building codes.
This role involves leading the delivery of leased and partnered data center capacity for Anthropic's compute infrastructure. Candidates must have 10+ years of site leadership experience in data center construction and strong end-to-end development process knowledge.
The role involves designing and implementing control systems for global datacenter infrastructure, including liquid cooling, HVAC, and electrical power monitoring. Candidates require a bachelor's degree in engineering and 7+ years of experience in industrial or building automation control systems.
This role involves owning the electrical architecture for data center facilities, including substation interfaces, distribution, and prefabricated power systems. Candidates must have 10+ years of experience in mission-critical electrical design and proficiency with power systems analysis tools.
The role involves securing multi-hundred megawatt power capacity for AI infrastructure across the EU. Candidates must have 15+ years of experience in energy procurement and utility development within European markets.
This role involves building power and availability models for data center infrastructure to optimize site selection and workload placement. Candidates must have 5+ years of experience in data center infrastructure and a Bachelor's degree in a related engineering field.
This role involves leading the design direction and technical oversight of data center mechanical systems, including cooling, plumbing, and fire protection, across a U.S. portfolio. Candidates must have 10+ years of experience in mission-critical mechanical design and deep familiarity with U.S. mechanical, plumbing, and fire codes.
This role owns the new product introduction (NPI) program for data center power and cooling equipment, managing the path from supplier design to production readiness. Candidates must have 8+ years of engineering experience in power electronics or industrial energy systems, with at least 4 years in NPI or product development.
This role involves owning behind-the-meter generation and storage architecture for Anthropic's data centers, including microgrid design and utility interconnection. Candidates must have 10+ years of experience in power generation, microgrids, or battery energy storage, with a bachelor's degree in Electrical Engineering.
This role involves owning the protection and automation architecture for Anthropic's US data center portfolio, including HV/MV substations and SCADA systems. Candidates must have 10+ years of experience in power system protection engineering and proficiency with major relay platforms.
This role involves building and maintaining data products and pipelines for GTM systems to provide trusted market intelligence. Candidates must have strong SQL and Python skills, experience with cloud data warehouses, and the ability to manage complex data integration and quality.
The Data Engineer role supports Billing & Payments Engineering by building scalable data models and pipelines in dbt for revenue data. Candidates must have experience with SQL, Python, Airflow, and billing concepts, while ensuring data accuracy and delivering dashboards.
The Data Engineer role builds canonical data models for Anthropic's quote-to-cash lifecycle, integrating Salesforce, CPQ, and billing data. Candidates need 5+ years of experience in data engineering, SQL, Python, dbt, and Airflow to ensure data integrity and self-serve analytics.
The Data Engineer, Product role involves building scalable data pipelines and dashboards to support analytics across the organization. Candidates must have 7+ years of experience, expertise in dbt, Airflow, SQL, and Python, and a background in data engineering at start-ups.
The Data Operations Manager builds and scales data operations for AI research teams, owning the data pipeline from requirements to production. The role requires 3+ years in operations or program management, strong project management skills, and familiarity with LLMs or AI training methodologies.
This role is a senior data science leader for Model Experience at Anthropic, responsible for hiring and managing a team of data scientists. The position requires extensive experience in data science, 3+ years managing teams, and deep expertise in experimental design and causal inference.
This role involves owning the weekly company metrics update and forum for Anthropic's Finance Analytics & Business Intelligence team. Candidates must define key business metrics, explain revenue and usage drivers, and build scalable dashboards and workflows.
This role involves partnering with growth teams to design A/B tests, analyze metrics, and build personalization models to drive user acquisition and retention. Candidates need 7+ years of data science experience, proficiency in Python and SQL, and expertise in experimental design and causal inference.
This role involves driving data-informed decisions across the commercial customer lifecycle for Anthropic's AI platform. Candidates must define metrics, apply causal inference methods, and build statistical models to support go-to-market strategy.
This role involves transforming internal product and survey data into evidence for Anthropic's Policy team to inform positions and measure impact. Candidates must demonstrate proficiency in Python, SQL, and causal inference methods to support external policy communications.
This role involves driving data-informed decision making for Anthropic's AI systems by analyzing product data and applying causal inference methods. Candidates must have 7+ years of experience in data science, with expertise in Python, SQL, and statistical modeling.
This role involves building and scaling a data-driven culture within Anthropic's Safeguards team to inform product and commercial strategy. Candidates must have expertise in Python, SQL, and data visualization, along with strong communication skills and experience in data science or analytics.
This role owns end-to-end platform enablement for the Claude Developer Platform, creating demos, labs, and curriculum for go-to-market teams. Candidates must have experience in customer-facing technical roles, production coding, and hands-on LLM API development.
This Developer Relations role focuses on helping developers discover and adopt Claude Code and Claude Tag while gathering feedback to inform product development. Candidates must have 5+ years of experience in developer relations or technical product roles and demonstrate strong technical credibility and hands-on coding ability.
This role leads the developer relations team for the Claude Platform, focusing on strategy, community growth, and cross-functional collaboration. Candidates must have experience leading developer relations or technical product teams and possess strong technical credibility in AI/ML and APIs.
The role involves building and operating an AI-first CI/CD pipeline for a production Salesforce organization and custom applications. Candidates must have experience with CI/CD pipelines, Salesforce deployment mechanics, and agentic workflows.
This role involves developing and executing paid media campaign strategies for Anthropic's policy advocacy efforts in the US and abroad. The strategist will manage agencies, direct cross-functional teams, and measure campaign success against legislative and policy goals.
The Director of Payroll manages international payroll processing for APAC entities, ensuring compliance and accuracy across multiple countries. The role requires 10+ years of payroll experience, including 5 years in international operations, and proficiency with Workday and PwC GPP.
This role involves owning the technical architecture and implementation of Order-to-Cash systems within the Finance Systems team. The position requires strong proficiency in Python, SQL, and DBT, along with extensive experience in enterprise billing platforms and ERP integration.
This role involves owning the consolidated statement of cash flows, subsidiary compliance reporting, and peer benchmarking within Anthropic's Financial Reporting team. Candidates must have strong US GAAP and SEC reporting knowledge, hands-on experience with cash flow preparation, and the ability to build AI-powered reporting workflows.
The role leads technical accounting for complex infrastructure and energy arrangements, including data center leases and joint-venture structures. Candidates must have 12+ years of accounting experience, a CPA, and expertise in ASC 842, ASC 810, and ASC 815.
The Director, IT SOX role leads the IT SOX compliance program, focusing on IT General Controls, IT Application Controls, and system risk assessments. The position requires hands-on IT audit experience, deep knowledge of ITGCs and ITACs, and the ability to guide internal team members and co-sourced partners.
The Director, Order-to-Cash Assurance role involves designing audit programs and accuracy metrics for Anthropic's global O2C function to ensure correct pricing, billing, and revenue recognition. Candidates must have experience in revenue assurance, ASC 606, and SQL, with a focus on compliance and process improvement.
This role involves driving revenue accounting operations, accounts receivable processes, and financial reporting at Anthropic. The ideal candidate requires a bachelor's degree, 10+ years of accounting experience, and expertise in ASC 606 and ASC 326.
This role leads financial risk assessment and internal control design for compute and infrastructure SOX compliance at Anthropic. The position requires deep expertise in US GAAP, cloud cost accruals, and pre-IPO control scaling.
The role supports technical accounting for mergers, acquisitions, and strategic investments under US GAAP. Candidates must have 10+ years of experience, an active CPA license, and significant Big 4 or in-house technical accounting background.
This role involves owning technical accounting for strategic investments, partnerships, and M&A transactions under US GAAP. Candidates must have significant Big 4 and in-house technology experience, with deep expertise in fair value, consolidation, and valuation governance.
The Director, Technical Revenue Accounting role owns the company's ASC 606 technical memo portfolio and serves as the senior decision-maker for complex revenue recognition scenarios. Candidates must have strong ASC 606 expertise, SQL proficiency, and experience leading cross-functional workstreams.
This role involves leading US international tax planning projects, including technical analysis under subpart F, NCTI, BEAT, and foreign tax credit rules. The position requires hands-on experience with subchapter C entity structuring, M&A integration, and drafting technical memoranda for implementation.
The Discovery Technical Operations Specialist joins Anthropic's Legal team to build discovery operations and support active matters. The role requires hands-on EDRM experience, knowledge of RelativityOne, and strong project management skills to manage ESI preservation and collection.
The Enforcement Analyst investigates harmful and unexpected behavior by AI models to make enforcement decisions under the Usage Policy. Candidates must have a background in security or cyber threat intelligence, experience in trust and safety investigations, and the ability to read code and write clear case reports.
This role manages the engineering teams building the Agent Runtime Platform, which provisions secure compute environments for Anthropic's internal agents. Candidates must have 10+ years of experience in large-scale platforms and 1+ year of technical management experience.
This role involves leading engineering teams to build and scale APIs and developer tools for the Claude Platform. Candidates must have experience managing high-performing software teams and building distributed systems in production.
This role leads a team of Connectivity engineers in London, focusing on building infrastructure for tool use, OAuth, and token management across Anthropic's products. Candidates must have experience managing software engineering teams, a technical background in backend or platform engineering, and expertise in operating production distributed systems.
This role leads an engineering team to build foundational systems that make Claude enterprise-ready at scale. The manager must have 4+ years of experience in enterprise SaaS or cloud services and partner with product, sales, and customer success to translate customer requirements into technical solutions.
This role leads engineers building a finance platform with an append-only ledger and accounting engine to ensure accurate, audit-grade financial records. Candidates must have experience leading teams that build high-volume backend systems with correctness requirements and event-driven processing.
This role involves leading engineering efforts to improve model performance and scale inference and training systems at Anthropic. Candidates must have at least one year of management experience in a technical environment and a background in machine learning or AI.
This role involves building and leading a Growth Engineering team to drive user acquisition, engagement, and retention through data-driven strategies. Candidates must have strong full-stack development experience and a track record of leading growth experimentation and A/B testing teams.
This role leads a platform security engineering group responsible for firmware integrity, secure boot, and host hardening across compute infrastructure. Candidates must have 10+ years in systems security, 5+ years managing engineers, and expertise in hardware roots of trust and firmware supply chains.
This role leads a team building the control plane for Anthropic's inference fleet, focusing on traffic placement, load balancing, and capacity management. Candidates require engineering management experience, deep systems knowledge, and a track record of shipping performance improvements in large-scale production infrastructure.
This role leads the Integrity and Attestation team to build systems that cryptographically verify build artifacts, model weights, and machine states. The manager must own the integrity roadmap, secure the server management plane, and hire senior security engineers to scale security controls across new compute platforms.
This role serves as the tech lead for Anthropic's Research Data Platform team, focusing on building data systems for AI research. Candidates must have experience with data-intensive systems and the ability to set technical direction for platform components and core datasets.
This role manages a team of machine learning and distributed systems experts to build efficient research tools for large-scale finetuning runs. The manager must prioritize work, design operational processes, and coach reports while collaborating with research, product, and infrastructure teams.
This role leads the Review Tooling team to build and scale systems for investigating potential harms and taking enforcement actions across Anthropic's products. Candidates must have experience managing engineering teams and a technical background in full-stack or platform engineering.
This role leads the Scheduler team building infrastructure for Anthropic's Kubernetes fleet to optimize compute allocation and job efficiency. Candidates must have experience managing engineering teams, a hands-on software engineering background, and working knowledge of Kubernetes and cluster scheduling concepts.
This role leads the Search Platform team at Anthropic, building the indexing, retrieval, and ranking systems that power Claude's search capabilities. Candidates must have significant experience managing engineering teams and direct experience building or operating search systems at scale.
This role involves driving revenue for Anthropic's AI SaaS solution by securing strategic deals with large enterprise organizations across the CEE region. Candidates must have 7+ years of B2B enterprise sales experience, strong consultative skills, and the ability to navigate complex procurement processes.
This role involves driving the adoption of Anthropic's AI technology across Korea's digital native companies by owning the full sales cycle from outbound prospecting to close. Candidates must have 8+ years of sales experience in Korea, a track record of winning net-new logos, and the ability to engage technical buyers in a greenfield territory.
This role involves driving enterprise AI adoption in the EMEA region by securing strategic deals and managing the full sales cycle. Candidates must have 8+ years of enterprise sales experience, consultative expertise, and the ability to navigate complex stakeholder ecosystems.
The Enterprise Account Executive role is based in Seoul and focuses on driving adoption of Anthropic's AI technology across Korea's financial services industry. Candidates must own the full sales cycle, navigate FSS regulatory requirements, and possess 8+ years of enterprise sales experience in financial services.
The role is an Enterprise Account Executive based in Singapore responsible for driving adoption of Anthropic's frontier AI across Southeast Asia. Candidates must have 12+ years of enterprise sales experience and direct in-market Southeast Asia operating experience.
The role is an Enterprise Account Executive for Manufacturing Industries in Taiwan, based in Singapore, responsible for leading go-to-market efforts and owning the full sales cycle. Candidates must have 10+ years of enterprise sales experience, fluency in Mandarin and English, and a deep understanding of Taiwan's high-tech manufacturing ecosystem.
This role involves driving revenue for Anthropic's AI solutions within the retail sector across EMEA markets. Candidates must have 8+ years of B2B sales experience and expertise in navigating complex retail procurement processes.
The Enterprise Account Executive role in Tokyo drives the adoption of Anthropic's AI technology across Japan's retail, CPG, and trading sectors. Candidates must have enterprise sales experience in Japan, a track record of managing complex sales cycles, and the ability to navigate stakeholder ecosystems to exceed revenue targets.
This role involves driving revenue for Anthropic's AI solutions within the semiconductor sector in the Netherlands. Candidates must have 8+ years of B2B sales experience and expertise in complex, engineering-led sales cycles.
This role involves driving revenue for Anthropic's automotive sector in France by securing strategic deals with manufacturers and suppliers. The candidate must have 12+ years of B2B sales experience in SaaS or API solutions and expertise in navigating complex automotive procurement processes.
This role involves driving the adoption of Anthropic's AI technology across Japan's digital native companies by owning the full sales cycle from outbound prospecting to close. Candidates must have 8+ years of sales experience in Japan, a track record of winning net-new logos, and strong communication skills in Japanese and English.
This role involves driving adoption of safe, frontier AI by securing strategic deals with top enterprises and owning the full sales cycle. The ideal candidate requires 5+ years of enterprise sales experience with emerging technologies and a consultative, solutions-oriented approach.
This role involves driving adoption of safe, frontier AI by securing strategic deals with top enterprises and owning the full sales cycle. The ideal candidate requires 5+ years of enterprise sales experience, consultative expertise, and a passion for developing new market segments.
This role drives the adoption of safe, frontier AI across DoW/IC agencies by owning the full sales cycle and navigating complex procurement processes. Candidates require 7+ years of enterprise sales experience in the DoW/IC space, an active security clearance, and expertise in DFAR compliance and classified environments.
This role involves driving enterprise sales for Anthropic's AI SaaS solution across the DACH region, focusing on the Energy & Utilities sector. Candidates must have 7+ years of B2B enterprise sales experience, native German fluency, and expertise in navigating complex procurement processes.
This role drives the adoption of safe, frontier AI across federal civilian agencies by owning the full sales cycle and navigating complex procurement processes. Candidates must have 8+ years of enterprise sales experience in the federal civilian space and a proven track record of driving revenue growth.
This role drives the adoption of safe, frontier AI across federal civilian agencies such as the Department of Commerce and Department of the Interior. Candidates must have 8+ years of enterprise sales experience in the federal civilian space and a deep understanding of federal procurement processes.
This role drives the adoption of safe, frontier AI across federal civilian agencies such as the Department of Treasury and IRS. Candidates must have 8+ years of enterprise sales experience in the federal civilian space and a proven track record of driving adoption of emerging technologies.
This role drives the adoption of safe, frontier AI across federal civilian agencies such as DOT, USDA, HUD, and GSA. Candidates must have 8+ years of enterprise sales experience in the federal civilian space and a proven track record of driving adoption of emerging technologies.
This role involves driving revenue by selling Anthropic's AI solutions to Systems Integrators and ISVs in the public sector. Candidates need 7+ years of enterprise sales experience, strong technical acumen, and the ability to navigate complex public sector procurement processes.
The Enterprise Account Executive role focuses on driving revenue for Anthropic's AI solutions within the financial services sector across EMEA. Candidates must have 12+ years of B2B sales experience in financial services technology and expertise in managing complex sales cycles.
This role involves driving revenue for Anthropic's AI solutions within the industrial sector across EMEA markets. Candidates must have 8+ years of B2B sales experience and expertise in navigating complex industrial procurement processes.
The role involves pioneering Anthropic's enterprise AI adoption in India's BFSI sector by securing deals with banks, insurers, and fintechs. Candidates must have 15+ years of enterprise sales experience in India and deep knowledge of the local regulatory landscape.
This role involves driving revenue for Anthropic's AI solutions within the insurance sector across EMEA markets. Candidates must have 8+ years of B2B sales experience and expertise in navigating complex insurance procurement processes.
This role involves driving enterprise sales for Anthropic's AI SaaS solution across the DACH region, focusing on securing strategic deals with large corporations. Candidates must have native German and English skills, 7+ years of B2B enterprise sales experience, and expertise in the Materials & Industrial sector.
This role involves driving enterprise sales for Anthropic's AI SaaS solution across the DACH region, focusing on pharmaceuticals and life sciences. Candidates must have native German and English skills, 7+ years of B2B enterprise sales experience, and a track record of managing complex sales cycles.
This role involves driving revenue for Anthropic's AI solutions within the Spanish public sector by securing strategic agreements with government ministries and agencies. Candidates must have 7+ years of B2B sales experience in SaaS or emerging technologies, with specific expertise in Spanish public procurement and complex stakeholder management.
This role involves driving revenue for Anthropic's AI solutions within the Italian public sector by securing strategic agreements with government ministries and agencies. Candidates must have 7+ years of B2B sales experience in SaaS or emerging technologies, with specific expertise in Italian public procurement and complex stakeholder management.
This role involves driving revenue for Anthropic's AI SaaS solution to large enterprise organizations across the DACH region. Candidates must have native German and English skills, 7+ years of B2B enterprise sales experience, and expertise in public sector or complex enterprise procurement.
This role involves building strategic partnerships with Japan's leading system integrators to drive revenue for Anthropic's AI solutions. Candidates must have 8+ years of enterprise sales experience in Japan and strong bilingual communication skills in Japanese and English.
The role supports senior leaders in crafting executive communications for Anthropic's AI mission and market position. Candidates need 8+ years of executive communications experience, strong writing skills, and the ability to handle technical materials.
The Executive Escalations Manager will build and operate a new function to manage high-stakes user issues from executive channels. The role requires 6+ years of experience in escalation management or operations, along with strong written communication and judgment under pressure.
This role involves leading Anthropic's policy engagement in South Korea by building relationships with government authorities and developing AI governance strategies. The position requires 10+ years of experience in policy or government, fluency in Korean and English, and the ability to draft substantive policy submissions.
This role involves working on active data center sites to resolve technical issues, hold design acceptance, and drive commissioning. Candidates must have experience delivering complex industrial projects and persuading contractors without formal authority.
The Field Executive Architect serves as Anthropic's senior technical voice for strategic customers, engaging directly with C-suite executives to align stakeholders around AI adoption. The role requires 15+ years of enterprise technology experience, deep technical understanding of AI systems, and strong business acumen to bridge technical and business audiences.
This role leads global field marketing for Anthropic's cybersecurity audience, positioning Claude for security teams and aligning with sales to drive pipeline. Candidates must have deep cybersecurity knowledge, experience with global field marketing, and strong influence without authority.
This role involves owning the field marketing strategy and execution for Public Sector audiences in the US, partnering with sales teams to build demand. Candidates must have direct Public Sector experience, 0-to-1 builder DNA, and strong operational rigor for event management and ROI reporting.
This role is a Strategic Finance Lead for network infrastructure, responsible for financial modeling, forecasting, and investment decision-making. Candidates need exceptional analytical skills, experience with technical teams, and a background in network or telecom infrastructure.
This role is a Strategic Finance Lead providing finance leadership for Anthropic's accelerator investments and compute teams. The position requires developing financial models for accelerator infrastructure, owning planning and forecasting processes, and translating technical dynamics into financial narratives for leadership.
This role manages complex enterprise deals and develops standardized processes to scale revenue while balancing speed with financial control. Candidates must have 7+ years of experience in deal strategy or finance, with strong skills in financial modeling, cross-functional coordination, and process development.
This role manages complex enterprise deals and develops standardized processes to scale revenue while balancing speed with financial control. Candidates must have experience in deal strategy or finance, build sophisticated financial models, and coordinate across sales, legal, and compliance teams.
This role manages complex deals and develops standardized processes to scale revenue by working across finance, sales, legal, and compliance teams. Candidates must have experience with CRM, CPQ, and contract management platforms, along with strong project management and stakeholder coordination skills.
This role involves partnering with go-to-market teams to provide financial expertise, build models, and deliver insights for strategic decision-making. Candidates must have experience in strategic finance or GTM finance, strong analytical skills, and the ability to communicate complex financial information to non-finance audiences.
The role involves managing Anthropic's tax systems, including configuration, testing, and data analysis to ensure compliance. Candidates must have experience with tax engines, SQL, and user acceptance testing.
The role involves building and maintaining platforms for Financial Planning, Forecasting, and Analytics processes at Anthropic. Candidates must have 8+ years of experience with EPM platforms like Pigment or Anaplan and strong SQL and data modeling skills.
This role leads financial data and controls for Anthropic's Billing Platform, ensuring billing accuracy, reconciliation, and SOX compliance across subscriptions and payments. Candidates must have strong accounting domain knowledge, SQL skills, and experience with financial ledgers or reconciliation systems.
The Forward Deployed Engineer role involves embedding with strategic customers to build production applications using Claude models and deliver technical artifacts. Candidates must have 8+ years of technical experience, native German and fluent English, and strong Python skills.
The Forward Deployed Engineer role involves embedding with strategic customers to build production applications using Claude models and deliver technical artifacts. Candidates require 8+ years of technical customer-facing experience, proficiency in Python, and production experience with LLMs.
This role involves embedding with strategic customers to build production applications using Claude models and deliver technical artifacts like MCP servers. Candidates need 4+ years of technical experience, proficiency in Python, and strong customer-facing skills to navigate ambiguity and drive AI adoption.
The Front End Engineer supports the Brand Web team by building and maintaining web properties for anthropic.com and claude.com. The role requires experience with Next.js, CSS, and headless CMS platforms to create interactive marketing pages and internal tools.
The role leads technical delivery of complex global office construction projects from pre-construction through closeout, managing general contractors and specialty vendors. Candidates must have a bachelor's degree, deep construction expertise, and experience managing budgets of $50M to $300M+ across multiple concurrent projects.
This role involves driving revenue growth and retention for high-growth startup customers through strategic account expansion and upsells. Candidates must have 5+ years of sales experience, strong relationship management skills, and the ability to manage complex sales cycles with technical stakeholders.
This role involves managing a portfolio of approximately 80 startup accounts to drive retention and identify expansion opportunities. Candidates need 3-5 years of sales experience, strong communication skills, and an analytical mindset to build scalable engagement models.
The Growth Account Executive role involves owning a portfolio of AI-native startups in EMEA to drive revenue growth and retention. Candidates must have 5+ years of quota-carrying experience in usage-based sales and strong technical depth to advise founders on Claude adoption.
This role leads global performance marketing strategy for Anthropic's Growth team, focusing on self-serve and sales-assisted demand generation. Candidates must have 10+ years of experience in growth marketing at high-growth tech companies and a track record of leading cross-functional teams.
This role involves owning strategic GTM programs end-to-end, from problem definition to delivery and iteration. Candidates must have experience leading cross-functional initiatives, building business cases, and analyzing data using CRM and BI tools.
This role supports the AMER Enterprise Tech organization by partnering with sales leadership to drive strategic analysis, operational efficiency, and growth initiatives. Candidates must possess deep expertise in sales strategy, revenue operations, or management consulting, along with proficiency in SQL, R, or Python for data analysis.
This role is a dedicated Strategy & Operations Lead for Anthropic's Forward Deployed Engineering team, responsible for owning the annual plan, capacity models, and business reviews. Candidates must have experience in strategy or operations, be able to build staffing models with SQL, and have run planning cycles for senior leaders.
This role coordinates commercial model launches and GTM strategy for Anthropic's Frontier team, requiring ownership of high-stakes cross-functional programs. Candidates must have experience in product operations or GTM strategy, with strong analytical skills and the ability to present to senior executives.
This role manages hardware labs in San Francisco, overseeing rack-and-stack, cabling, power, and cooling for standard and specialized hardware. Candidates must have hands-on experience running physical compute environments and strong Linux/networking skills to bring servers online.
The Hardware Systems Architect role owns system-level architecture for Anthropic's compute infrastructure, including boards, racks, interconnect, and power. Candidates must have deep expertise in hardware systems, experience owning architecture at scale, and the ability to make build/buy/co-design decisions with vendors.
The Head of Community, Enterprise Marketing role leads a global team to build community programs that drive user retention and product adoption for Claude. Candidates must have experience leading community functions, managing distributed teams, and connecting community efforts to enterprise expansion and business outcomes.
The role involves building and leading the Customer Success function across Asia Pacific, managing a team of managers and CSMs to support strategic customers. Candidates must have 15+ years of experience in management or technology consulting and a track record of scaling CS teams across APAC markets.
The role involves building and leading Anthropic's go-to-market strategy for digital native businesses and startups in Australia and New Zealand. Candidates must have 15+ years of technology sales experience and 5+ years managing sales teams in the startup segment.
This role leads and scales Anthropic's national security sales organization for the Department of War and Intelligence Community. Candidates must have 15+ years of enterprise sales experience, 5+ years managing DoW/IC sales teams, and an active TS/SCI clearance.
The Head of Partnerships, Japan will build and lead a team to establish Anthropic's partner ecosystem as the primary route to Japanese enterprise. The role requires setting partner strategy, owning pipeline and revenue targets, and leading executive relationships with major system integrators and resellers.
The role oversees global equity administration and payroll operations, leading teams to scale functions to public-company standards. Candidates require 15+ years of experience in equity or payroll operations and must manage senior functional leaders.
This role leads the policy design team for consumer harms, managing managers responsible for areas like child safety and election integrity. Candidates must have experience leading teams in AI safety or product policy and deep familiarity with consumer harm areas.
This role leads the development and rollout of Anthropic's sales methodology and enablement standards across global segments. Candidates must have experience driving sales process transformation and securing executive sponsorship to change seller behavior.
The Head of Strategic Startups role owns the strategy, organization, and commercial outcomes for Anthropic's relationships with AI-native startups. Candidates must have 15+ years of enterprise or technical software sales experience, including 7+ years leading sales teams and owning significant revenue lines.
This role leads the creation of a dedicated technical instruction function at Anthropic, focusing on teaching engineers and building scalable training systems. Candidates must have 8+ years of technical experience, 4+ years of hands-on instruction, and recent LLM development skills.
This role is a senior Technical Program Manager specializing in incident management within the Detection & Response team. The position requires 7+ years of experience in security operations and a track record of driving cross-functional improvements from incident data.
The Incident Manager role manages Safeguards incidents from declaration through closure, coordinating cross-functional teams and overseeing the on-call queue. Candidates must have experience running incidents in trust and safety or security, with the ability to make clear decisions under pressure.
This role involves owning and evolving the privacy incident management program, including detection, response, and post-incident analysis. The manager must lead incident command, drive cross-functional accountability, and partner with legal and engineering teams to implement systemic improvements.
The Incident Response Manager serves as the operational backbone for handling incidents, building processes and tooling to manage high-stakes situations across engineering, product, and security. The role requires 5+ years of incident management experience, technical depth in cloud infrastructure, and the ability to lead cross-functional teams during ambiguous, fast-moving events.
The Infrastructure Capacity Planner owns medium-range demand forecasts for accelerators, CPU, storage, network, and managed services to support sourcing and purchasing. The role requires building forecasting models using SQL and Python, and partnering with finance and data teams to manage capacity allocations.
The Internal Communications Manager serves as a dedicated partner to Anthropic's Core Tech organization, advising executives and translating technical work into clear narratives. The role requires 8-12 years of experience in communications or adjacent fields, with strong writing skills and the ability to embed with engineers and security practitioners.
This role is an Internal Communications Manager serving as a dedicated partner to the go-to-market organization. The position requires exceptional writing skills, the ability to advise senior leaders, and experience managing a small team to execute internal communications strategies.
The role is an International Accounting expert in Singapore responsible for building compliance frameworks across APAC entities. Candidates need 8+ years of accounting experience, a bachelor's degree, and professional certification.
The role involves leading compensation strategy and execution for Anthropic's international locations, including Germany, France, and the UK. Candidates must have deep expertise in international compensation practices and experience localizing global programs across multiple markets.
The role involves leading compensation strategy and execution for Anthropic's international locations, including Germany, France, and Japan. Candidates must have deep expertise in international compensation practices, regulatory compliance, and cross-cultural collaboration.
The International Finance Program Manager joins the International Accounting team in Dublin to drive execution excellence across international expansion initiatives and new entity set-ups. The role requires 10+ years of program management experience, with at least 3 years in finance, and the ability to manage complex multi-country roll-outs and cross-functional coordination.
The role involves managing patent strategy and filings for Anthropic's life sciences research, including invention harvesting and global prosecution. Candidates must hold a law degree and a life sciences background, with substantial experience in U.S. patent prosecution and portfolio management.
The role is an IP Counsel position focused on managing Anthropic's global trademarks and domains, including clearance, prosecution, and enforcement. Candidates must hold a law degree and have substantial hands-on experience in trademark and domain practice.
The role involves leading IP workstreams for acquisitions and investments while partnering with M&A and commercial counsel on complex agreements. Candidates must hold a law degree and have substantial experience in technology M&A IP diligence and first-chair negotiation of complex commercial IP terms.
The role involves developing a global asset management and hardware lifecycle program across multiple offices, including inventory tracking, procurement, and disposal. Candidates must have experience implementing asset management systems and managing vendor relationships.
The IT Support Engineer role involves triaging and resolving end-user issues across hardware, software, and networking in a primarily macOS environment. Candidates must have 7+ years of IT support experience, strong troubleshooting skills, and proficiency with Google Workspace and Slack administration.
The IT Support Engineer role involves resolving end-user issues across macOS, ChromeOS, and SaaS platforms while supporting onboarding and automation efforts. Candidates require 7+ years of IT support experience, strong troubleshooting skills, and proficiency with Google Workspace and Slack administration.
The IT Support Engineer role involves triaging and resolving hardware, software, and network issues across a macOS-centric environment. Candidates must have hands-on IT support experience, proficiency with macOS and Google Workspace administration, and basic scripting skills in Bash or Python.
The IT Support Engineer role involves triaging and resolving hardware, software, and account issues across a macOS-centric environment. Candidates must have hands-on IT support experience, proficiency with macOS and Google Workspace administration, and basic scripting skills in Bash or Python.
This role involves building a dedicated executive support function within IT to provide white-glove technology assistance to executives, ABPs, and the board. Candidates must have 7+ years in IT support and 3+ years in executive support, with strong hands-on fundamentals and AV fluency.
This role owns ChromeOS as a supported platform for vendor fleets, managing device standards, policy-as-code, and zero-touch enrollment. Candidates must have experience with the Google Admin console, Chrome Enterprise, and automating policy via the Chrome Policy API or GAM.
The role involves owning Anthropic's endpoint platform, including MDM infrastructure, configuration as code, and patching pipelines for a mostly macOS fleet. Candidates must have 8+ years of experience building secure IT systems and managing large endpoint fleets.
This role involves leading IT due diligence and integration for acquisitions, assessing IT environments, and defining technical integration plans. Candidates must have 8+ years of hands-on corporate IT experience, including system design, migrations, and administration of enterprise identity platforms.
This role involves designing and implementing a corporate-issued mobile device program for Anthropic, transitioning from BYOD to managed company phones. Candidates must have 8+ years managing global fleets and deep expertise in iOS and Android device management.
This role leads IT general controls assurance for SOX 404 compliance, defining control requirements and acceptance criteria for in-scope engineering systems. Candidates must have led an ITGC program through SOX readiness, possess engineering fluency, and demonstrate proficiency in Python or a systems language.
The Lead Technical Instructor role involves delivering hands-on technical instruction in New York and remotely across European time zones, while developing other instructors through train-the-trainer programs. Candidates must have 6+ years of relevant experience, 3+ years of technical instruction, production engineering experience, and recent hands-on AI development.
This role owns the physical security delivery program for new data center campuses from construction through commissioning and handover to operations. Candidates must have experience delivering security scopes on new-build critical infrastructure projects and running milestone acceptance processes.
This role manages high-volume procurement and vendor agreements for compute and infrastructure, including datacenter, hardware, and construction contracts. The position requires experience with contract lifecycle management, process design, and cross-functional collaboration to streamline contracting workflows.
This role involves managing end-to-end responses to law enforcement and government requests for user data, including subpoenas and warrants. Candidates must have direct experience handling such requests and strong project management skills.
The Litigation Counsel role involves managing a broad docket of litigation files and pre-litigation disputes with high autonomy. Candidates must have a law degree and extensive experience in complex civil litigation, including copyright, class actions, and securities matters.
The M&A Tax Director leads tax workstreams for acquisitions, mergers, and strategic transactions at Anthropic. The role requires strong technical expertise in federal and state transactional tax rules, including Section 338 and Section 368 reorganizations.
This role involves building and scaling infrastructure and data pipelines for Safeguards machine learning research at Anthropic. Candidates must have strong software engineering fundamentals, proficiency in Python, and experience operating data-intensive or distributed systems in production.
This role manages the Healthcare and Life Sciences Solutions Architect team within Anthropic's Applied AI department. Candidates must have 7+ years in pre-sales technical roles and 3+ years of management experience, with deep technical proficiency in enterprise AI and LLM architecture.
This role manages a team of Commercial Applied AI Architects to drive frontier AI adoption among mid-market and SMB customers. Candidates need 7+ years in technical customer-facing roles, 3+ years managing pre-sales teams, and hands-on experience with LLM applications and agentic architectures.
This role is a 2nd-line leader for the Applied AI Industries team in Southern Europe and the Middle East, responsible for driving frontier AI adoption and managing pre-sales teams. Candidates require 7+ years of technical pre-sales management experience, deep proficiency in enterprise AI use cases and LLM deployments, and the ability to lead complex industry accounts across regulated sectors.
This role leads a team of technical architects to help startups build AI-native products using the Claude Developer Platform. Candidates need 8+ years in technical customer-facing roles and 5+ years managing pre-sales or technical go-to-market teams.
This role leads a team of Account Executives to drive enterprise AI adoption in Japan. Candidates need 10 years of enterprise sales experience and 3+ years of sales leadership.
This role is a pre-sales architect for Anthropic's Applied AI team in Seoul, focused on advising large Korean enterprises on integrating Claude. Candidates must have 5+ years of technical sales management experience, strong communication skills, and fluency in Korean and English.
This role leads the Applied AI Solutions Architecture team in Tokyo, driving the adoption of Anthropic's products across Japanese enterprises. Candidates must have 7+ years of pre-sales technical experience, 3+ years managing technical go-to-market teams, and native or business-level fluency in Japanese and English.
This role leads the EMEA Digital Natives Applied AI Architecture team to drive frontier AI adoption across European tech companies. Candidates must have 7+ years in pre-sales technical roles and 3+ years managing technical teams, with proficiency in LLM architecture and API integrations.
This role manages the pre-sales Solutions Architect team within Applied AI Enterprise Tech to drive frontier AI adoption for enterprise customers. Candidates need 7+ years in pre-sales technical roles, 3+ years in management, and deep proficiency with enterprise AI use cases and LLM deployments.
This role leads the creation of Anthropic's first Applied AI Security team, focusing on hiring and developing customer-facing technical architects. The manager must build security playbooks, manage strategic accounts, and partner with sales and engineering to help security teams use Claude for code review and vulnerability management.
This role leads a team of Applied AI Engineers serving Anthropic's largest strategic accounts, focusing on co-designing technical solutions and production deployments for Claude. Candidates must have 6+ years of technical experience, 4+ years in leadership, and production experience with LLMs, Python, or TypeScript.
The Manager, Commercial Counsel, GTM role involves leading legal support for enterprise and startup go-to-market teams, focusing on commercial agreements and negotiations. Candidates must hold a law degree, have experience drafting commercial contracts, and possess demonstrated people management skills.
This role manages compute and cloud infrastructure accounting, including accruals, reconciliations, and commitment tracking for tens of billions in spend. Candidates need 7+ years of operational accounting experience, CPA, and hands-on month-end close skills.
This role leads the Corporate Network Engineering team, owning technical direction, architecture standards, and operations for Anthropic's global office and research facility networks. Candidates must have 10+ years of enterprise networking experience and 5+ years leading engineers, with deep expertise in campus switching, wireless, and network automation.
This role leads Customer Success Managers for cybersecurity accounts, requiring 7+ years of experience and 2+ years of front-line management. The manager must provide cybersecurity subject matter expertise and drive team performance in expansion, retention, and customer satisfaction.
This role involves building and leading a team of cybersecurity sales specialists to sell to security teams across Anthropic's Americas business units. The manager must own pipeline health, set coverage models, and coach the team on complex enterprise deals with CISOs.
This role leads the Enterprise Asset & Wealth Management sales organization at Anthropic, building a team to sell AI solutions to asset and wealth managers. Candidates must have experience leading enterprise sales teams for technical products and a track record in the asset and wealth management sector.
This role leads a new hedge fund sales team within Enterprise FSI, focusing on building and scaling AI adoption for top-tier financial institutions. Candidates must have experience leading enterprise sales teams for technical products and designing go-to-market strategies for complex, multi-stakeholder environments.
This role leads a new team of Strategic Account Executives to introduce Anthropic's AI platform to the medtech ecosystem, including medical device, diagnostics, and digital health manufacturers. The candidate must have 10+ years in life sciences, with at least 5 years in medtech sales or operations, and experience managing enterprise sales teams.
This role leads a new team of Strategic Account Executives to introduce Anthropic's AI platform to the pharma and biotech ecosystem. The candidate must have 10+ years in life sciences, including 5 years selling into pharma or biotech, and experience managing enterprise sales teams.
This role is a founding manager position for Anthropic's Forward Deployed Engineering team, responsible for hiring and developing engineers to deploy AI solutions for enterprise customers. The primary requirements include 10+ years of technical experience, 2+ years of people management, and the ability to build organizational processes from zero to one.
This role is a founding manager position for Anthropic's Forward Deployed Engineering team in London. The manager will hire and develop FDEs, set technical standards, and build playbooks for enterprise AI deployments.
The role involves managing end-to-end accounting for Anthropic's infrastructure capex and fixed asset portfolio, including monthly close and CIP tracking. Candidates need 7+ years of accounting experience, a Bachelor's degree, and strong technical knowledge of ASC 360.
This role leads Product Program Management at Anthropic, overseeing cross-functional programs and a team of managers across Commercialization, Community, and Marketplace Operations. Candidates need 12+ years of program management experience, 5+ years managing managers, and a track record of scaling programs from zero to one.
This role leads a team of 6-10 Business Development Representatives to generate enterprise pipeline through account-based prospecting and multi-threaded outreach. Candidates must have experience managing BDR or SDR teams in enterprise sales and proficiency with CRM tools.
This role leads a team of Technical Deployment Leads in EMEA to manage customer engagements and production AI deployments. Candidates need 8+ years of enterprise AI delivery experience and 3+ years managing people.
This role manages the Technical Deployment team for Financial Services, overseeing engagement portfolios and delivery quality. Candidates need 8+ years leading enterprise AI delivery and 3+ years managing people, with deep Financial Services experience.
This role involves leading a team of 5-10 Growth Account Executives to drive expansion and retention for AI-Native customers. Candidates must have 10+ years in enterprise software sales and 3+ years leading sales teams.
This role involves owning manufacturing quality for data center power and cooling equipment by qualifying suppliers and witnessing factory acceptance tests. Candidates need 6-10+ years of quality engineering experience in electrical or mechanical manufacturing and proficiency with tools like 8D, FMEA, and SPC.
This role involves owning the end-to-end marketing measurement framework to connect marketing activity with pipeline, revenue, and product usage. The candidate must build data models, dashboards, and metrics while partnering with cross-functional teams to ensure adoption and decision-making.
The Marketing Manager, Tech Partnerships role owns comarketing relationships with strategic partners like Salesforce, managing joint plans and funds. Candidates must have experience with executive field programs and strong relationship-building skills.
This role involves driving the adoption of safe, frontier AI by securing strategic deals with mid-market companies in key verticals. Candidates must have 3+ years of enterprise B2B sales experience in technology and the ability to collaborate with cross-functional teams to refine sales methodologies.
This role involves driving the adoption of safe, frontier AI by securing strategic deals with tech-forward mid-market companies. Candidates must have 4+ years of enterprise sales experience, consultative selling skills, and the ability to navigate complex stakeholder ecosystems.
The role involves building ML systems to detect and mitigate AI misuse, including classifiers for harmful behavior and defenses against coordinated attacks. Candidates need 4+ years of ML engineering experience, Python proficiency, and the ability to work across the research-to-deployment pipeline.
This role is a Staff Software Engineer position on the Claude Code team focused on setting technical direction for evaluation systems and research infrastructure. Candidates must have 10+ years of experience, a track record of operating as a Staff or Principal engineer, and the ability to architect complex systems at scale.
The role involves leading strategic engagement with U.S. and allied intelligence communities to manage national security partnerships. Candidates must have substantial experience in national security, an active TS/SCI clearance, and the ability to negotiate formal government agreements.
The Operations Lead for Investor Relations manages administrative and operational tasks, including scheduling investor meetings, coordinating events, and managing vendors. The role requires strong organizational skills, experience with complex calendars and vendor relationships, and the ability to build processes in a newly formed team.
This role manages relationships with AI-native and boutique systems integrator partners to drive joint business plans and pipeline. Candidates need 5+ years in partner management, strong commercial acumen, and experience with CRM systems.
The Partner Account Manager role focuses on building strategic partnerships with Japanese System Integrators and resellers to drive revenue growth. Candidates must have experience in channel management within the Japanese tech market and possess native or business-level Japanese and English skills.
This role leads the Claude for Nonprofits train-the-trainer program to enable intermediaries to onboard and train organizations on Claude. Candidates must have 7+ years in enablement or program management and experience building train-the-trainer programs at scale.
This role manages the Microsoft co-sell partnership to generate pipeline and closed revenue for Claude through Azure Marketplace. Candidates must have experience owning revenue through partner motions and strong operational rigor to manage joint sales plays.
This role is the first dedicated partner marketer for Anthropic's Claude Partner Network Reseller track, leading global marketing strategy and playbook development. The position requires experience in partner marketing, co-marketing programs, and managing agency partners across multiple regions.
This role owns marketing for high-performing Global and Regional System Integrators, building joint plans and executive programs to drive partner-attached Claude deals. Candidates must have experience running partner marketing programs, develop joint value propositions, and manage partner funding and pipeline metrics.
This role involves owning a portfolio of global and regional systems integrator partners to drive revenue and build joint go-to-market plans. Candidates need 7+ years of partner sales experience and strong commercial instincts for co-sell agreements.
The Partner Success Lead owns a book of in-flight customer engagements across managed partners in North America, ensuring work completes on scope and customer Claude usage grows. The role requires experience managing 10 to 30 concurrent engagements, strong unblocking judgment, and the ability to build reusable delivery methodologies.
The Partner Success Lead owns a book of in-flight customer engagements across managed partners in EMEA, ensuring work completes on scope and customer Claude usage grows. The role requires experience managing 10 to 30 concurrent engagements, strong unblocking judgment, and the ability to build reusable delivery methodologies.
The Partnership Manager, AI for Science role involves growing Anthropic's AI for Science Program by building partnerships with academic labs and early-stage companies. The position requires managing the API credit program, onboarding partners, and developing communities of practice to deploy Claude in life sciences domains.
The Partnerships Manager role focuses on extending Anthropic's health work into US public health by managing flagship partnerships across federal, state, and local levels. Candidates need 10+ years of experience in US public health or policy, 5+ years managing external partnerships, and technical fluency in AI concepts.
The role is a Lead Employment Counsel for Anthropic's APAC region, responsible for building legal infrastructure and advising on employment matters across multiple countries. Candidates must hold a law degree, meet local licensing requirements, and possess deep expertise in APAC employment law.
The role involves designing and executing systematic research studies to improve recruiting funnels, interview effectiveness, and candidate experience. Candidates must hold an advanced degree in a research field and possess proficiency in SQL, Python/R, and statistical analysis.
This role involves owning the design and execution of Anthropic's performance and talent programs, including cycles and feedback practices. The position requires experience with performance tooling, data analysis, and cross-functional collaboration to scale talent intelligence.
The Performance Engineer role involves identifying and solving novel systems problems to optimize the throughput and robustness of large-scale distributed machine learning systems. Candidates require significant software engineering or machine learning experience, particularly at supercomputing scale, along with a track record of solving large-scale systems problems.
This role involves running cross-layer performance investigations and owning the correctness evaluation pipeline for Anthropic's inference fleet. Candidates must have hands-on performance engineering experience, proficiency in Python, and strong data analysis skills to optimize throughput, latency, and reliability.
The role involves designing and implementing security architectures for bare-metal infrastructure, including firmware, bootloaders, and attestation systems. Candidates must have expertise in low-level systems security, secure boot, and cryptographic protocols to ensure infrastructure integrity.
The Podcast Media Manager owns Anthropic's podcast strategy, managing network buys, scripts, and reporting across 100+ shows. The role requires deep experience in podcast media buying at a tech or consumer company and the ability to build creative partnerships beyond standard ad reads.
The role involves building and expanding Anthropic's in-house polling and political research function to understand stakeholder sentiment. Candidates must have experience designing public opinion research, analyzing data, and managing external polling vendors.
The Policy Communications Manager drives external communications for Anthropic's security, governance, and responsible scaling programs. The role requires experience in policy communications, issues management, and executive management to handle sensitive topics under pressure.
This role owns Anthropic's conventional weapons policy, defining boundaries between acceptable and harmful AI use in dual-use domains. Candidates must have deep expertise in weapons systems, threat modeling, and policy translation for engineering and enforcement teams.
The Integrity and Authenticity Policy Manager develops and maintains policies to prevent AI misuse for deception, manipulation, and unauthorized monitoring. The role requires translating risk frameworks into enforceable guidelines and overseeing evaluations for surveillance-related capabilities.
This role involves developing technical AI governance policies and safety standards for frontier AI systems. Candidates must be fluent in AI safety, able to read legislative text, and skilled at writing clear memos for diverse audiences.
This role involves managing safety initiatives and translating regulatory requirements into operational controls for AI systems. Candidates must have experience in trust and safety, risk assessment, and cross-functional program management.
This role involves designing and implementing data processing infrastructure for large language model training, including tokenization and deduplication primitives. Candidates need strong software engineering skills, experience with distributed systems like Apache Spark, and an advanced degree in Computer Science.
This role involves building production systems for data pipelines, observability tooling, and performance instrumentation to manage and optimize Anthropic's compute infrastructure. Candidates must write production-quality Python and SQL, operate Kubernetes-native systems at scale, and collaborate across teams to improve resource utilization and cost attribution.
This role involves building production systems for data pipelines, observability tooling, and performance instrumentation to manage and optimize Anthropic's compute infrastructure. Candidates must write production-quality Python and SQL, operate Kubernetes-native systems at scale, and collaborate across teams to improve resource utilization and cost attribution.
This role involves building production systems for data pipelines, observability tooling, and performance instrumentation to manage and optimize Anthropic's compute infrastructure. Candidates must write production-quality Python and SQL, operate Kubernetes-native systems at scale, and collaborate across teams to improve resource utilization and cost attribution.
The Privacy Counsel role involves advising on complex privacy issues and building global data protection processes for Anthropic's Legal team. Candidates must hold a law degree, have experience advising tech businesses on privacy, and possess strong legal writing skills.
This role manages high-volume procurement operations for R&D, ensuring accurate purchase orders, coding, and month-end accruals. Candidates need proven experience in procure-to-pay, accrual accounting, and supporting outsourced vendors.
This role manages high-volume technology procurement, including SaaS, cloud, and developer tools, ensuring accurate accounting and vendor lifecycle management. Candidates need proven experience in procure-to-pay processes, accrual accounting, and software subscription billing models.
The Product Counsel role provides hands-on legal partnership to teams building Claude for consumers and businesses. Candidates must hold a law degree, meet local licensing requirements, and have at least four years of relevant legal experience with exposure to technology or consumer products.
This role involves designing and shipping complex user interfaces for Anthropic's Claude Developer Platform, focusing on AI-native patterns and rapid prototyping. Candidates must have experience with enterprise SaaS or developer tools, proficiency in Figma, and the ability to collaborate effectively with engineers and researchers.
This role involves designing and evolving Anthropic's design systems, including foundations, components, and expressive layers for Claude products. Candidates must have strong visual craft, experience with design tokens and accessibility, and fluency in tools from Figma to code.
This role involves owning growth for Claude's everyday work usage, including diagnosing bottlenecks and setting product vision. Candidates must have deep growth design experience, strong craft, and the ability to prototype quickly with AI tools.
This role involves designing and shipping complex AI products, collaborating with engineers and researchers to define product vision and user interfaces. Candidates must have experience with enterprise SaaS or developer tools, proficiency in Figma, and the ability to use AI tools like Claude Code in their design practice.
This role involves owning end-to-end delivery of computer-use and browser-control product surfaces for Anthropic's Computer Use team. Candidates must have strong full-stack engineering skills and experience building with LLM APIs or agent frameworks.
This role involves owning product direction for Anthropic's human data tooling, focusing on labeling interfaces, infrastructure, and data quality. Candidates must have 5+ years of product management experience and the ability to work with research teams and engineering in a fast-moving environment.
This role involves owning the ideation and deployment of new AI models and products for Anthropic's Research team. Candidates must have a deep technical background in AI/ML, proficiency in Python and SQL, and experience launching ambitious products.
This role involves owning the end-to-end support experience for Anthropic's customers, with Claude as the primary operator. The Product Manager will partner with support and engineering teams to build systems that reduce support cases and turn recurring issues into product fixes.
This role involves owning the strategy and execution for core Claude user experiences, including memory, voice mode, and artifacts. Candidates must have experience with products serving millions of users and strong analytical skills for data-driven decision making.
This role involves owning the Claude Marketplace product end-to-end for partners and customers, including onboarding, listing, purchase, and billing workflows. The Product Manager must design commercial workflows, shape business strategy with cross-functional teams, and define success metrics for the marketplace ecosystem.
This role involves owning a major area of the Claude Science roadmap and partnering with researchers to build an AI workbench for scientific progress. Candidates must have product management experience, a scientific or technical background, and strong AI/LLM knowledge.
This role leads Anthropic's cybersecurity product portfolio, setting strategy and shipping security products like vulnerability discovery in Claude Code. Candidates must have meaningful security experience, product-building background, and strong technical judgment to partner with research and external stakeholders.
This role involves building enterprise privacy controls for Claude, including retention, access, and data residency features. Candidates must have experience shipping complex platform capabilities and managing cross-functional stakeholder needs.
This role involves defining and executing enterprise API strategy for multi-cloud integrations and agentic infrastructure. Candidates must have experience shipping products with hyperscalers and managing revenue or P&L targets.
This role owns the multi-cloud strategy for Anthropic's model safeguards, fraud defenses, and compliance posture across Amazon, Google, and Microsoft. Candidates must have 10+ years of experience, including 5+ years in platform product roles, and demonstrate high autonomy in ambiguous environments.
This role involves owning product areas for Anthropic's New Markets and Monetization team, focusing on partner billing, spend controls, and vertical strategies. Candidates must have end-to-end ownership of a developer platform or billing product and technical fluency in API and billing design.
This role involves running discovery inside government institutions to integrate Claude into production workflows and owning product decisions for government models. Candidates must have shipped successful products end-to-end and be able to get things done through cross-functional teams.
This role involves owning the ideation and deployment of new AI models and products for Anthropic's Research team. Candidates must have a deep technical background in AI/ML, proficiency in Python and SQL, and experience launching ambitious products.
This role involves owning the product strategy and roadmap for Anthropic's centralized identity, verification, and access system for Claude. The candidate must have owned a developer platform, identity, or access-management product end-to-end and be a strong executor capable of shipping in a 0-1 product space.
This role involves owning the ideation, design, and deployment of Safeguards systems and product UX to ensure the safe advancement of frontier AI models. The position requires deep technical expertise in development, deployment, and measurement of safety systems, along with the ability to navigate ambiguous environments and collaborate with cross-functional teams.
This role involves owning the ideation, design, and deployment of Safeguards systems and product UX for Anthropic's AI models. The candidate must have deep technical expertise in safety systems and experience building product strategy across cross-functional teams.
This role involves owning the ideation, design, and deployment of Safeguards systems and product UX for Anthropic's AI models. Candidates must have deep technical expertise in safety systems and experience navigating ambiguous environments to mitigate deployment risks.
This role involves owning the ideation, design, and deployment of Safeguards systems and product UX for Anthropic's AI models. The candidate must have deep technical expertise in safety systems and experience building metrics to evaluate risks and system performance.
This role involves leading end-to-end go-to-market planning and execution for new platform products and features. The position requires a proven track record in API product marketing and strong technical communication skills.
This role involves embedding within core product teams to manage launch readiness, early access programs, and user feedback loops. Candidates must have experience owning operational programs end-to-end and building AI-powered workflows.
The Product Support Specialist provides high-touch technical support to strategic customers building on Claude, focusing on complex API debugging and authentication issues. Candidates require several years of technical support experience, fluency with APIs, and the ability to troubleshoot SSO, SAML, and OAuth flows.
This role involves responding to and investigating user support cases in English and Japanese for Anthropic's Tokyo team. Candidates must have technical product support experience, native-level Japanese, and business-level English proficiency.
The role involves responding to and investigating user support cases for Anthropic products, ranging from billing questions to complex API debugging. Candidates must have experience in technical product support, familiarity with APIs, and strong written communication skills.
This Program Manager role supports the Accounting organization by managing goal-setting, operating cadence, and internal communications to connect distributed hubs. Candidates need 7+ years in program management or strategy, with experience supporting distributed teams and clear writing skills.
This role manages cross-functional programs for Anthropic's Safeguards organization, coordinating policy, enforcement, and threat intelligence teams. Candidates must have experience running technical programs, managing stakeholder approvals, and bringing structure to ambiguous work.
This role owns end-to-end workforce lifecycle programs, including onboarding, offboarding, and access provisioning, for contractor, vendor, and BPO reviewers. The position requires hands-on experience running scaled human review operations and building scalable processes for capacity planning.
This role coordinates the interview experience for acquisition hiring, serving as a key point of contact across Corporate Development, Legal, People, and technical teams. Candidates must have 4+ years of program management or recruiting coordination experience and familiarity with modern recruiting systems.
This role is a senior individual contributor position for Anthropic's Public Sector Sales Lead in France, responsible for building the public sector strategy and relationships from zero. The candidate must have 15+ years in enterprise technology sales, significant public sector experience, and fluency in French and English.
This role involves developing strategic recruiting plans to identify and hire highly qualified Machine Learning and AI research candidates. Candidates must have 5+ years of full life cycle recruiting experience supporting technical research teams and strong technical aptitude.
This role is a strategic Go-To-Market Recruiter specializing in Applied AI, responsible for full-cycle recruiting for customer-facing technical positions. The position requires deep technical recruiting expertise, an understanding of enterprise SaaS and AI landscapes, and experience building pipelines for LLMs and cloud architecture roles.
The role is a Recruiter for the Communications team at Anthropic, responsible for owning searches from intake through offer and advising leaders on talent. Candidates must have experience recruiting for communications or adjacent roles and the ability to engage passive candidates through creative channels.
The role is an experienced G&A Recruiter responsible for full-cycle recruiting across General & Administrative functions, including Finance, Legal, and Operations. Candidates must manage high req loads, context-switch between high-volume and strategic searches, and leverage data and AI automation to build scalable processes.
This role involves owning full-cycle recruiting for G&A functions across EMEA, with a focus on Policy, Finance, Legal, and People. Candidates must have 6+ years of recruiting experience in these areas and demonstrate strong stakeholder partnership and autonomy.
The role involves leading end-to-end recruiting for Go-To-Market positions and developing strategic talent pipelines. Candidates must have 5+ years of full-cycle recruiting experience and strong stakeholder management skills.
The role is a full-cycle individual-contributor Recruiter, GTM based in Dublin, responsible for hiring Applied AI and Go-To-Market talent across EMEA. Candidates must have 4+ years of recruiting experience, strong stakeholder partnership skills, and the ability to build hiring playbooks in new markets.
The role involves building and maintaining data infrastructure for recruiting analytics at Anthropic. Candidates must be experts in BigQuery, SQL, Python, and dbt, with experience in dimensional modeling and data security.
The Red Team Engineer role involves conducting adversarial testing to uncover vulnerabilities in Anthropic's AI systems and products. Candidates must have experience in penetration testing, model jailbreaking, and web application security, with strong communication skills.
The Regional Research Economist collaborates with governments and academia to measure AI's economic effects and develop the Anthropic Economic Index. The role requires a PhD in Economics and strong empirical research experience using frontier methods in econometrics and machine learning.
The Regional Research Economist collaborates with governments and academia to measure AI's economic effects and develop the Anthropic Economic Index. The role requires a PhD in Economics and strong empirical research experience using frontier methods in econometrics and machine learning.
The Regional Research Economist collaborates with external partners to measure AI's economic effects and develop the Anthropic Economic Index. The role requires a PhD in Economics, strong empirical research experience, and proficiency in Python, R, or SQL for large-scale data analysis.
The Regional Research Economist collaborates with external partners to measure AI's economic effects and develop the Anthropic Economic Index. The role requires a PhD in Economics, strong empirical research experience, and proficiency in Python, R, or SQL for large-scale data analysis.
The Regional Research Economist collaborates with governments and academia to measure AI's economic effects and develop the Anthropic Economic Index. The role requires a PhD in Economics, strong empirical research experience, and proficiency in Python, R, or SQL for large-scale data analysis.
The role involves leading in-house legal work on US AI regulation and supporting global compliance strategy. Candidates must have a JD, US bar membership, and experience advising technology businesses on emerging regulatory regimes.
The Reporting and Controls Lead owns consolidated milestone tracking and capacity projections for the Data Center Capacity Delivery portfolio. The role requires 7+ years of project controls experience, fluency in scheduling and BI tools, and the ability to reconcile schedule data across multiple projects.
This role leads global sales for research institutions and universities, focusing on complex institutional deals and coaching account executives. Candidates must have experience selling SaaS to academic sectors and a background in science or sales leadership.
This entry-level Research Associate role involves executing molecular biology and biochemistry experiments at the bench under senior scientists. Candidates must have hands-on research experience and proficiency in foundational techniques such as PCR, gel electrophoresis, and cell culture.
The Research Counsel advises the Research Legal team on legal topics across the AI model lifecycle, including data acquisition, training, and regulatory readiness. The role requires a law degree, practical problem-solving skills, and familiarity with AI regulation, copyright, and privacy laws.
The role involves developing the Anthropic Economic Index and conducting empirical research on AI's economic effects using econometrics and machine learning. Candidates must have a PhD in Economics and strong experience in causal inference, large-scale data analysis, and novel measurement systems.
This role involves designing and operating large-scale distributed systems for reinforcement learning at Anthropic. Candidates must have strong software engineering skills in Python and a systems language, along with experience building production distributed systems.
This role involves developing next-generation reinforcement learning algorithms and architectures for scaling large language models. Candidates must have deep familiarity with transformer models, distributed training, and Python or JAX/PyTorch programming.
This role involves building large-scale ML systems, improving cluster reliability, and running scientific experiments within Anthropic's AI Research & Engineering department. Candidates need significant software engineering experience, a bias towards flexibility and impact, and an interest in machine learning research.
This role involves conducting exploratory machine learning experiments to understand and steer the behavior of powerful AI systems for safety. Candidates need significant software, ML, or research engineering experience and familiarity with technical AI safety research.
The role involves developing reinforcement learning environments and evaluations for agentic RTL generation and silicon design. Candidates must have expertise in ASIC or FPGA design, including RTL, verification, and physical design, and be fluent with industry EDA tools.
The Research Engineer role focuses on advancing Claude's coding capabilities through reinforcement learning, including designing RL environments and building reward signals. Candidates must have strong software engineering skills, deep Python expertise, and the ability to balance research exploration with engineering implementation.
The role involves designing experiments and building evaluation frameworks to improve Claude's computer use capabilities. Candidates must have software engineering experience, proficiency in Python, and experience training or evaluating machine learning models.
The role involves advancing cybersecurity capabilities in AI models through reinforcement learning research and engineering. Candidates must have cybersecurity expertise, machine learning experience, and strong software engineering skills to design RL environments and implement solutions.
This role involves designing and implementing reinforcement learning environments for defensive cybersecurity tasks such as incident response and vulnerability remediation. Candidates must combine machine learning experience with cybersecurity domain expertise and strong software engineering skills.
The Research Engineer role involves designing large-scale infrastructure for AI scientist training, evaluation, and deployment across distributed environments. Candidates need 6+ years of experience in infrastructure engineering, with expertise in distributed systems, performance optimization, and containerization technologies.
The role involves building and maintaining specialized inference and training infrastructure for interpretability research, including activation extraction and steering vector application. Candidates must have 5-10+ years of software experience and proficiency in at least one programming language, with strong curiosity and collaboration skills.
The role involves designing new information architectures and training language models to interact with external data sources. Candidates must be experienced Python programmers with machine learning research experience and a background in developing software using Large Language Models.
The role involves developing evaluation frameworks and training strategies for AI in life sciences. Candidates must have experience training large language models, proficiency in Python, and skills in managing large-scale data pipelines.
This role involves collaborating with researchers to advance reinforcement learning for large language models, focusing on agentic systems and reasoning. Candidates must be proficient in Python, machine learning frameworks, and distributed systems design.
This role involves collaborating with researchers to advance reinforcement learning for large language models, focusing on agentic systems and reasoning. Candidates must be proficient in Python and machine learning frameworks while balancing research exploration with engineering implementation.
The role involves building and improving the RL training infrastructure and removing bottlenecks in the RL Science stack at Anthropic. Candidates need strong software engineering fundamentals, experience with ML infrastructure or distributed systems, and a bias toward shipping quickly.
The role involves building and improving the RL training infrastructure and removing bottlenecks in the RL Science stack. Candidates need strong software engineering fundamentals and experience with ML infrastructure or distributed systems.
This role leads the science of evaluating production training runs for Anthropic's Claude models, focusing on observability and model quality. Candidates must have strong Python skills, experience designing and analyzing ML evaluations at scale, and the ability to influence direction across teams.
The role involves developing large language models and training infrastructure at Anthropic's Pretraining team. Candidates must have an advanced degree, strong software engineering skills, and expertise in Python and deep learning frameworks.
This role involves owning the production pretraining pipeline for frontier models, focusing on performance optimization, reliability, and hardware debugging. Candidates must have hands-on experience with large-scale distributed systems and a strong interest in both research and engineering.
This role involves owning the production pretraining pipeline for frontier models, focusing on performance optimization, reliability, and hardware debugging. Candidates must have hands-on experience with large-scale distributed systems and a strong interest in both research and engineering.
This role involves implementing and optimizing post-training techniques like Constitutional AI and RLHF for production Claude models. Candidates must have strong software engineering skills, experience with large-scale distributed systems, and proficiency in Python and deep learning frameworks.
The role involves implementing and optimizing post-training techniques like Constitutional AI and RLHF for production Claude models. Candidates must have strong software engineering skills, experience with large-scale distributed systems, and proficiency in Python and deep learning frameworks.
This role involves building and owning the core reinforcement learning training system for Anthropic's production and research models. Candidates must have proficiency in Python, experience with large-scale ML training, and familiarity with modern frameworks like JAX or PyTorch.
The role involves designing and running large-scale reinforcement learning experiments to understand scaling behaviors and build benchmarks for long-horizon tasks. Candidates must have strong empirical research skills in RL or large-scale ML, proficiency in Python, and experience with distributed systems.
The role involves owning the end-to-end data strategy for vision capabilities, including building evaluations and scaling reinforcement learning environments. Candidates must have 7+ years of experience in machine learning, computer vision, and software engineering, with familiarity in reinforcement learning and large vision language models.
This role leads a research engineering team focused on biological safety evaluations, datasets, and classifiers for AI models. Candidates must have experience managing technical teams, proficiency in Python, and a strong background in machine learning and modern biology.
This role leads the operational backbone of Anthropic's Life Sciences team, managing procurement, inventory, safety, equipment, and space to support biological research. Candidates must have experience managing life sciences lab operations, procurement, vendor relationships, and operating budgets.
This role supports the reinforcement learning organization by managing leadership priorities, triaging requests, and facilitating decision-making. Candidates must have technical fluency in RL, strong writing skills, and experience in operations or chief of staff roles.
This role involves developing methods to reverse-engineer algorithms in large language models and building infrastructure for interpretability experiments. Candidates must have a strong track record in scientific research, enjoy collaborative team science, and be comfortable with messy experimental work.
The role involves building agentic tools and evaluation benchmarks to improve Claude's capabilities in life sciences research. Candidates must have strong software engineering skills and experience applying machine learning to biological problems.
The role involves designing and executing experimental chemistry programs to validate AI-generated hypotheses and molecules. Candidates must have a PhD in chemistry and deep expertise in experimental chemistry, with hands-on laboratory experience.
The role involves building reinforcement learning environments and datasets to teach Claude chemistry, requiring deep knowledge of organic and medicinal chemistry. Candidates must have strong Python skills and hands-on experience training and evaluating machine learning models.
This role involves building analysis pipelines for petabyte-scale biological data and partnering with experimental biologists to drive discoveries. Candidates must have a PhD in a related field and a track record of leading computational biology research end-to-end.
The role involves designing and executing experimental programs in molecular biology and biochemistry while partnering with computational biologists. Candidates must have a Ph.D. in a biological science and proficiency in Python.
The role involves designing and engineering therapeutic antibodies while closing the loop between AI-generated hypotheses and experimental data. Candidates must have a PhD and demonstrated experience taking antibodies through discovery, candidate selection, and IND-enabling studies.
The role involves developing and running expression and purification processes for antibodies and recombinant proteins, including characterization and formulation. Candidates must have a PhD and demonstrated experience in process development and manufacturing of antibodies or other recombinant proteins.
This role involves designing capability evaluations and training safety classifiers for biological knowledge in frontier models. Candidates must have strong Python skills, deep modern biology expertise, and the ability to build tooling for adversarial robustness.
This role manages reseller onboarding, transactions, and support for Japan and Korea across hyperscaler and direct resale motions. Candidates need several years of channel operations experience, proficiency in Japanese, Korean, and English, and hands-on Salesforce skills.
The Risk & Insurance Specialist role manages insurance operations, claims, and contract reviews for Anthropic's Business Risk & Insurance team. Candidates must have experience in corporate risk management or insurance and support multi-line commercial insurance programs.
This role involves building enforcement workflows for access controls and identity verification to mitigate potential harm on Anthropic's products. Candidates must have trust and safety policy experience, operational queue ownership, and knowledge of regulatory frameworks like GDPR and DSA.
This role involves building enforcement workflows to detect and mitigate account takeover and credential abuse. Candidates must have experience in trust and safety or security operations, along with skills in SQL and incident response.
This role involves building enforcement workflows to detect and mitigate age-related harm in Anthropic's consumer products and third-party API integrations. Candidates must have experience in trust and safety, age assurance, or related fields, along with strong cross-functional collaboration and data analysis skills.
The role involves enforcing Usage Policies to detect and mitigate biological and CBRNE harms from AI systems. Candidates must have a bio-related degree or experience, along with background in Trust & Safety or content moderation at platform scale.
This role involves enforcing Usage Policies to detect and mitigate chemical and explosives risks in AI systems. Candidates must hold a chemistry-related degree or relevant experience and possess Trust & Safety or content moderation experience at platform scale.
This role involves designing automated enforcement systems and evaluating model behavior to mitigate misuse of AI for conventional weapons. Candidates require deep expertise in weapons systems, policy enforcement, and data analysis tools like SQL.
This role involves building and executing enforcement workflows to detect and mitigate AI-enabled influence operations, election manipulation, and surveillance. Candidates must have experience in trust and safety, policy enforcement, or threat intelligence, along with proficiency in SQL and data analysis tools.
This role involves managing a team of Cyber Enforcement Analysts to develop strategies for detecting and mitigating AI misuse in cyberattacks and malware. Candidates must have people management experience, cybersecurity expertise, and proficiency in SQL or Python for data analysis.
This management role leads the User Well-Being team, overseeing child safety, mental health, and abuse enforcement workflows. Candidates must have experience managing content review operations and proficiency in SQL or data analysis tools.
This role leads a team of Account Executives to drive enterprise AI adoption in Korea. The candidate must have 15+ years of enterprise sales experience and 5+ years of sales leadership.
The Sales Enablement Trainer role involves teaching Anthropic's global sales team to use Claude products effectively and position them credibly with customers. Key requirements include experience in sales or sales enablement, hands-on use of AI assistants, and working technical knowledge of LLM products.
This role drives the adoption of safe, frontier AI across the Canadian public sector, focusing on the Government of Canada and provincial/territorial entities. Candidates must have 7+ years of enterprise sales experience in the Canadian public sector and the ability to navigate federal security and compliance requirements.
The role involves designing and building a scalable sales leader enablement program to train and reinforce sales managers. Candidates must have direct experience rolling out sales methodologies and strong program management skills.
This role involves leading a team of Enterprise Account Executives to drive the adoption of safe, frontier AI by securing strategic deals with leading enterprises. The ideal candidate requires 15+ years of enterprise sales experience in Industries technology and 5+ years of sales leadership experience.
This role leads EMEA sales efforts for Anthropic's Beneficial Deployments, focusing on securing partnerships with nonprofits, foundations, and educational institutions. The candidate must have 8+ years of B2B sales experience in the nonprofit or social impact sector and the ability to build and lead a regional sales team.
The role involves designing and maintaining the Salesforce platform for quote-to-cash operations, including automation for sales, pricing, and order management. Candidates must have hands-on experience with Apex, LWC, Flow, and CPQ, along with proficiency in integrating Salesforce with billing and ERP systems.
The Sanctions Compliance Lead will direct Anthropic's sanctions compliance program and support export controls oversight as a senior leader. The role requires hands-on experience leading economic sanctions programs, managing regulator filings, and governing restricted-party screening controls.
This role involves owning a book of enterprise accounts and driving new logo acquisition and revenue outcomes. Candidates must generate their own pipeline and run high-velocity sales cycles involving technical evaluations and procurement.
This role involves owning a portfolio of 6-8 strategic AI-native startup customers to drive expansion and retention. Candidates must have 11+ years of sales experience, strong executive relationship management skills, and the ability to navigate complex multi-stakeholder deals.
The Security Data Engineer role involves owning hardware inventory, chain of custody, and continuous control monitoring systems for data centers. Candidates must have experience designing production data systems, integrating external APIs, and building field software for physical asset tracking.
This role involves producing actionable threat intelligence to drive detections and defensive priorities at Anthropic. Candidates must have 5+ years of experience in cyber threat intelligence and strong Python engineering skills.
This role involves designing and operating security controls for large-scale reinforcement learning training systems and infrastructure. Candidates must have strong software engineering skills in Python and a systems language, along with experience in distributed systems or security.
This role involves driving endpoint hardening, zero-trust access controls, and identity governance for Anthropic's corporate environment. Candidates must have hands-on experience with endpoint security engineering, Python, and identity and access management.
The role involves leading cybersecurity incident response efforts and developing novel tooling to monitor threats and investigate incidents. Candidates need 3+ years of software engineering experience, a solid understanding of cloud environments, and experience with security tools like EDR or SIEM.
The role involves conducting red and purple team engagements and penetration testing across cloud, endpoint, and bare metal infrastructure. Candidates require 5+ years of offensive security experience and strong engineering skills in Python or Go.
This role serves as the security policy partner for AI agent governance, authoring policies and standards for agent deployment and operation. Candidates must have 8+ years in security governance, risk, and compliance, with experience designing least-privilege access controls and mapping agent security to frameworks like ISO 27001.
This role involves building a compliance program for AI safety and security, ensuring adherence to frameworks like NIST and ISO 27001. Candidates must have 8+ years of experience in audit and compliance, with expertise in cloud-native environments and multi-cloud architectures.
The Security Risk Analyst role involves driving risk-informed decisions for Anthropic's security program through qualitative and quantitative analysis. Candidates must have end-to-end security risk analysis experience and hands-on FAIR-style quantification skills to support CISO-level decision making.
The role involves architecting and implementing scalable data pipelines for security telemetry and developing ML-powered detection systems. Candidates must have 7+ years of software engineering experience with a focus on security, infrastructure, or data pipelines.
The Security Technology Deployment Engineer validates and deploys physical security technology across Anthropic's global offices. The role requires 5+ years of experience deploying security platforms across 50+ sites and building standardized deployment processes.
The Senior Analyst, Travel & Expense role manages financial controls, audits, and reporting for Anthropic's T&E function across multiple platforms. Candidates require 7+ years of experience in T&E or finance operations, with strong SOX compliance and accounting fundamentals.
The role is a Senior Business Systems Analyst for Finance Systems, serving as the internal functional lead for Workday Financials. The position requires 8+ years of experience in finance systems and at least 5 years of hands-on Workday Financials experience.
This role leads the delivery of leased and partnered data center capacity, focusing on construction schedules, site safety, and quality. Candidates must have 10+ years of site leadership experience in data center delivery and strong understanding of the end-to-end development process.
This role leads the delivery of leased and partnered data center capacity in Australia, focusing on construction schedules, site safety, and quality. Candidates must have 8+ years of site leadership experience in data center delivery and a strong understanding of the end-to-end development process.
The Senior Engineer role involves building and maintaining biology software for genomics and structural biology, with a focus on open-source release and community representation. Candidates must have deep expertise in computational biology, proficiency in Python, and experience using AI coding agents to develop and validate software.
The Senior Manager, Infrastructure Lease Accounting role owns end-to-end accounting for Anthropic's infrastructure lease portfolio under ASC 842. Candidates must have strong technical accounting expertise, experience managing significant lease portfolios in high-growth environments, and the ability to mentor accounting professionals.
The Senior Manager, M&A Finance Integration role manages finance integration plans and legal entity lifecycles for acquisitions at Anthropic. Candidates must have end-to-end ownership of finance integration projects, strong accounting fluency, and experience with ERP systems in an acquisition context.
The Senior Partner Account Manager role owns relationships with one to two major global systems integrators, setting multi-year joint strategies and negotiating strategic agreements. The position requires 15+ years of experience in alliances or partner sales, including 8+ years managing top-tier GSI relationships, and the ability to build a practitioner practice of 50,000+.
This role involves leading discovery, capturing requirements, and publishing release notes for partner-facing systems like Salesforce and PEM. The analyst must also administer Salesforce, lead UAT, and manage production incidents to ensure system health.
The role is a Senior Software Engineer position focused on full-stack development for Anthropic's AI products, including developer tools and enterprise solutions. Candidates must have at least six years of practical full-stack experience and proficiency in modern frontend and backend technologies such as React and TypeScript.
The Senior Software Engineer, Inference role focuses on building and maintaining large-scale distributed systems for serving Claude models via compute-agnostic inference deployments. Candidates require significant software engineering experience, particularly with distributed systems, load balancing, and machine learning infrastructure.
The Senior Software Security Engineer role focuses on building identity, secrets management, and cloud security systems for Anthropic's AI infrastructure. Candidates must have at least five years of software engineering experience and strong programming skills in Python or a systems language.
This role is a Senior Staff Software Engineer position on the Claude Developer Platform team, responsible for setting technical direction for API Engineering. Candidates must have 12+ years of experience, deep expertise in distributed systems, and a track record of leading high-impact initiatives across multiple teams.
This role involves building secure cloud infrastructure and data pipelines for legal compliance at Anthropic. Candidates must have production experience with AWS or GCP and the ability to translate legal requirements into technical designs.
The role involves leading incident response and building detection tooling for Anthropic's security team. Candidates must have experience with security incidents, EDR/SIEM tools, cloud environments, and scripting languages like Python.
This role involves building custom silicon for AI training and inference workloads at Anthropic. Candidates must have shipped silicon and deep expertise in at least one domain such as front-end design, verification, or physical design.
This role involves building and operating a new Community & Executive Escalations function to manage high-stakes social media issues. The ideal candidate has 6+ years of experience in social analytics or operations and strong written communication skills.
This role involves designing infrastructure for accessible AI onboarding, billing, and MCP integrations for underserved communities. Candidates need 6+ years of full-stack experience and strong collaboration skills to build scalable, mission-driven products.
This role involves building internal full-stack products at Anthropic, requiring ownership of outcomes and collaboration with users to identify high-impact opportunities. Candidates must have 6+ years of production software experience and proficiency in Python, TypeScript, and React.
This role involves building internal full-stack products at Anthropic, requiring ownership of outcomes and collaboration with users to identify high-impact opportunities. Candidates must have 6+ years of production software experience and proficiency in Python, TypeScript, and React.
This role involves building the technical foundation for Anthropic's AI-driven education platform, including content delivery, assessments, and credentialing systems. Candidates need 7+ years of software engineering experience with strong backend skills and a passion for educational technology.
This role involves rapidly prototyping full-stack applications to showcase emerging AI capabilities and collaborating with research teams to translate model capabilities into user experiences. Candidates must have 8+ years of experience building full-stack applications and strong technical skills in modern web development stacks.
The role involves designing and building scalable telemetry pipelines and observability platforms for Anthropic's infrastructure. Candidates must have hands-on experience with large-scale monitoring, eBPF-based tracing, and kernel-level debugging.
The role involves designing and scaling infrastructure for Anthropic's research productivity organization. Candidates must have experience with large-scale distributed systems and independently scoping complex, multi-month projects.
This role involves building full-stack applications and infrastructure to support AI research teams in conducting experiments and analyzing results. Candidates must have 5+ years of software engineering experience with a strong focus on full-stack development and proficiency in modern web technologies.
This role involves designing and operating sandboxing infrastructure for untrusted, model-generated code and agent workloads at scale. Candidates must have strong Linux systems programming experience and proficiency in a systems language such as Rust, C, C++, or Go.
This role involves building agent harnesses and integrations to apply Claude to science and engineering problems. Candidates need 8+ years of software experience and experience with large language model systems.
This role involves maintaining and improving encoding libraries and prompt structures for Claude, requiring ownership of APIs and abstractions across the codebase. Candidates need 5+ years of software engineering experience, familiarity with ML terminology, and strong communication skills to collaborate with researchers.
This role leads the Network Security Engineering team to design and maintain secure-by-default network controls across cloud and data center environments. Candidates must have 8+ years of front-line management experience and hands-on expertise in network security engineering, threat modeling, and Kubernetes networking.
This role involves developing and executing a cybersecurity marketing strategy to position Claude for security professionals and enterprise buyers. Candidates must have direct experience marketing software to security audiences and strong cross-functional collaboration skills.
The Solutions Marketing Manager develops go-to-market strategies and positioning for Claude across emerging industries and customer segments. The role requires experience marketing software products across multiple industries and the ability to translate complex AI capabilities into clear narratives for technical and business buyers.
The role involves designing and maintaining distributed inference systems that serve Claude to millions of users. Candidates must have significant software engineering experience with distributed systems and a desire to learn machine learning infrastructure.
The role involves designing and maintaining distributed inference systems that serve Claude to millions of users across multiple cloud platforms and accelerator families. Candidates must have significant software engineering experience with distributed systems and a desire to learn about machine learning infrastructure.
The role involves designing and maintaining distributed inference systems that serve Claude to millions of users across multiple cloud platforms. Candidates must have significant software engineering experience with distributed systems and a desire to learn about machine learning infrastructure.
This role involves owning high-risk security projects end-to-end, from scoping to handoff or documented exit. Candidates must have deep expertise in areas like applied cryptography or OS internals and be strong programmers in Python plus Rust, Go, or C/C++.
This role involves designing and building security foundations such as cryptographic frameworks and authorization systems for Anthropic. Candidates must have 8+ years of experience and strong skills in Go, Rust, or Python.
This role involves designing and owning backend services for Claude inference across multiple cloud providers. Candidates need significant experience in large-scale distributed systems and at least one major cloud platform.
This role focuses on building CI/CD infrastructure and validation pipelines for Claude inference across major cloud platforms. Candidates need significant experience in high-performance distributed systems and cloud operations, with a track record of improving release velocity.
This role involves designing and maintaining distributed inference systems that serve Claude to millions of users across multiple cloud providers. Candidates must have significant software engineering experience with distributed systems and a desire to learn about machine learning infrastructure.
This role involves securing data center infrastructure, hardware supply chains, and personnel by designing and automating security controls. Candidates must have end-to-end experience engineering security domains and applying frameworks like NIST or ISO 27001.
This role involves designing and specifying physical security systems for data centers, including perimeter barriers, intrusion detection, and video coverage. Candidates must have experience producing vendor-ready design packages and running field verification tests against performance criteria.
This role involves building and owning the Security Fusion Platform, which correlates physical security signals and supports analyst decision-making. Candidates must have experience with event-driven backend systems, production ownership, and vendor integration.
This Staff Engineer role owns the end-to-end operational lifecycle of datacenter servers, including provisioning, maintenance, and decommissioning. Candidates must have hands-on server hardware experience, proficiency in a programming language, and knowledge of cloud infrastructure.
This role involves owning the end-to-end operational lifecycle of datacenter servers, including provisioning, maintenance, and decommissioning. Candidates must have hands-on server hardware experience, proficiency in a programming language, and knowledge of cloud infrastructure.
This role involves leading technical strategy and architecture for strategic enterprise customers in the Applied AI department. Candidates must have deep experience building production systems and hands-on experience with LLMs and agents.
This role involves setting technical direction for agent-driven cluster lifecycle management and infrastructure strategy at Anthropic. Candidates must have deep expertise in distributed systems, reliability, and cloud platforms, along with proficiency in systems languages and infrastructure-as-code.
This role involves working end-to-end to identify and address blockers toward scientific AGI, focusing on long-horizon tasks and computer use. Candidates need familiarity with language model training, evaluation, and inference, along with strong problem-solving skills.
This role involves designing and running large-scale experiments on multi-agent teams while building the underlying systems and evaluations. Candidates need significant software engineering or research experience and must be comfortable working at the boundary between research and engineering.
This role involves owning complex security risk problems and building AI-native risk tooling for Anthropic. Candidates must have at least 8 years of experience, strong programming skills, and broad security knowledge with depth in at least one domain.
This role involves developing service level objectives and monitoring systems for large language model serving infrastructure. Candidates need strong distributed systems backgrounds and experience with high-availability infrastructure.
The role involves architecting and implementing Android applications for the Claude mobile team, focusing on AI integration and performance optimization. Candidates must have expertise in Kotlin, Jetpack Compose, and the Android ecosystem, along with full-stack development experience.
This role involves designing and maintaining scalable features for AI-powered development tools, including agentic coding tools. Candidates must have extensive knowledge of programming environments, advanced LLM features, and 6+ years of work experience.
This role involves driving reinforcement learning efforts for Claude's coding capabilities by designing APIs, frameworks, and infrastructure for agentic coding environments. Candidates must have deep Python expertise, experience designing intuitive APIs, and the ability to anticipate and prevent silent failure modes in complex research codebases.
The role involves designing and building scalable CI infrastructure for automated testing and code quality assurance across a monorepo. Candidates must have 10+ years of experience with large-scale CI/CD systems and deep knowledge of CI orchestration tools.
This role involves designing APIs and frameworks for reinforcement learning environments at Anthropic. Candidates need deep Python expertise and experience with stateful distributed systems.
The role involves designing and building a distributed finance platform with an append-only ledger and accounting engine for high-volume, event-driven systems. Candidates must have strong backend engineering experience in statically typed languages and a track record of building reliable, auditable systems.
This role involves developing technical solutions and executing A/B tests to drive user acquisition, engagement, and monetization for Anthropic's AI products. Candidates must have full-stack development experience, data analysis skills, and a background in user growth or revenue-focused organizations.
This Staff Software Engineer role focuses on building autonomous agents and evaluation frameworks for Anthropic's go-to-market operations. Candidates must have strong Python or TypeScript skills, production LLM experience, and the ability to drive technical direction for agent systems.
This role involves leading the engineering practices for GTM systems that process lead-to-cash transactions. The candidate will design CI/CD pipelines, establish AI-assisted development standards, and lead architecture reviews for production platforms.
The role involves designing and maintaining distributed inference systems that serve Claude to millions of users. Candidates must have proficiency in Python or Rust and experience building production distributed systems.
The role involves building and maintaining large-scale inference systems for Claude, focusing on distributed systems, performance optimization, and multi-accelerator deployments. Candidates need significant software engineering experience, particularly with distributed systems and large-scale service orchestration.
This role involves scoping and leading complex, multi-month infrastructure projects and making architectural decisions for Anthropic's distributed systems. Candidates must have experience designing large-scale production infrastructure and strong software engineering fundamentals.
The role involves architecting and implementing iOS applications for Anthropic's Claude mobile product team. Candidates must have expertise in Swift, UIKit, and SwiftUI, along with full-stack development experience and a track record of shipping mobile applications.
The role involves owning and extending the Kubernetes scheduler and control plane for Anthropic's large-scale AI compute fleets. Candidates must have significant experience with production distributed systems and deep, hands-on Kubernetes expertise.
This role involves owning the technical strategy for node lifecycle management, including ingestion, health checking, and automated repair for AI compute clusters. Candidates must have deep expertise in distributed systems, reliability, and cloud platforms, along with proficiency in systems languages and machine learning accelerators.
This role involves building and shipping user-facing features for Claude's consumer web and desktop applications. Candidates must have 5+ years of experience in consumer web products and proficiency in React, Next.js, and TypeScript.
The role involves designing and implementing core search systems for Anthropic's search platform from the ground up. Candidates must have 5+ years building complex distributed systems and strong skills in search fundamentals and Python, Go, or Java.
This role involves building core systems to track datacenter lifecycles and embedding with physical-world teams to create tools for compute infrastructure. Candidates need 8+ years of software experience with full-stack skills, data modeling, and a track record of zero-to-one work.
The role involves building security for large-scale AI clusters and designing network security controls using infrastructure as code. Candidates need 8-15+ years of software engineering experience, strong Python or systems language skills, and expertise in cloud automation and Kubernetes security.
This role involves designing and operating Claude-powered security systems, including LLM-driven code analysis and automated vulnerability remediation. Candidates must have hands-on application security experience, production coding skills in Python, Go, Rust, or TypeScript, and practical threat-modeling abilities.
This role leads pre-close security due diligence and post-close integration for Anthropic's acquisitions, formalizing M&A security playbooks and risk models. Candidates must have hands-on application security experience, production coding skills, and the ability to assess unfamiliar codebases under pressure.
This role involves building safety and oversight mechanisms for AI systems, including internal review tools and interfaces for human supervision of agents. Candidates must have a Bachelor's degree in Computer Science or comparable experience, proficiency in TypeScript and React, and strong communication skills.
This role involves setting technical direction for agent-driven cluster lifecycle management and high-bandwidth compute infrastructure at Anthropic. Candidates require deep expertise in distributed systems, cloud platforms, and a systems language like Rust, Go, or Python.
This role involves designing and shipping full-stack systems for human feedback data collection, including web interfaces and backend pipelines. Candidates must have production experience with TypeScript/React and Python, along with a track record of owning projects end-to-end.
This role involves training multi-agent systems and optimizing reinforcement learning environments for Claude. Candidates need experience with large-scale RL on language models and multi-agent training.
This role involves identifying and evaluating security capabilities in frontier models for the Claude Security team. Candidates must have 7+ years of security experience and the ability to prototype and design rigorous evaluations.
This role involves designing and operating production infrastructure for Claude's safety systems, including deploying safeguards for model launches and managing safety classifiers. Candidates must have deep experience in production change management, deploy pipelines, and cloud operations, with proficiency in Python.
The role involves building identity verification, access control, and monitoring infrastructure for Anthropic's Access Programs team. Candidates need a Bachelor's degree, backend systems experience, and strong coding skills in a general-purpose language.
This role involves building systems to gather and analyze signals at scale to prevent account abuse and allocate computing capacity fairly. Candidates must have proficiency in Python, SQL, and data analysis tools, along with strong communication skills to explain technical concepts to non-technical stakeholders.
This role involves building machine learning systems to detect and stop account abuse at scale for Anthropic's Safeguards team. Candidates must have experience training and deploying models to production, building data pipelines, and ensuring robust production systems with low false positives.
This role involves building safety and oversight mechanisms for AI systems, including monitoring models and preventing misuse. Candidates need a Bachelor's degree in Computer Science or comparable experience, proficiency in Python and TypeScript, and strong communication skills.
The Staff+ Software Engineer role focuses on building and operating Anthropic's authentication, authorization, and identity platform for its products. Candidates must have 8+ years of backend experience and expertise in identity systems, security, and high-traffic infrastructure.
This role involves owning backend systems for Anthropic's API, Claude Code, and Claude.ai, with responsibilities spanning multiple specialized teams. Candidates must have 8+ years of backend experience, strong coding fundamentals, and a track record of leading complex projects and large-scale systems.
This role involves designing and shipping end-to-end billing capabilities, including pricing primitives, payment flows, and revenue data pipelines. Candidates must have 8+ years of backend experience and 3+ years leading large-scale projects or teams.
This role involves building and operating Anthropic's managed cache layer, including a Redis fleet and client libraries. Candidates must have significant experience with production distributed systems and caching architectures.
This role involves building production systems for data pipelines, observability tooling, and performance instrumentation to manage AI infrastructure capacity. Candidates must write production-quality Python and SQL, operate Kubernetes-native infrastructure, and collaborate across teams in a high-autonomy environment.
This role involves building infrastructure for Claude App, focusing on sandboxed compute environments, state management for agent tasks, and security frameworks. Candidates must have experience with distributed systems, cloud infrastructure, and secure execution environments.
This role involves building and scaling the Claude Managed Agents platform, focusing on distributed systems, durable session storage, and API design. Candidates must have at least 8 years of backend or distributed systems experience and strong product sense for API development.
This role involves building Claude Science, an AI workbench for researchers, by shaping product architecture and partnering with internal research teams. Candidates need 8+ years of software engineering experience, ideally with 2+ years in Staff-level technical leadership, and experience building AI products from 0 to 1.
This role involves building and shipping features for Claude Security products, working across the full stack from prototype to production. Candidates must be strong generalist engineers with 7+ years of experience, proficient in TypeScript, Python, or Go, and capable of collaborating with research and go-to-market teams.
This role involves designing and scaling secure data infrastructure systems for data processing, storage, and access. Candidates must have 10+ years of software engineering experience and 3+ years leading large-scale projects or teams.
This role involves architecting and operating database infrastructure to support Claude's products and research workloads. Candidates must have significant experience building production database systems and deep knowledge of distributed architectures.
This role involves owning the design, implementation, and operations of Anthropic's deployment platform, including pipelines, staged rollouts, and feature flags. Candidates must have proficiency in a backend language and experience leading distributed systems in production.
This role involves defining the technical strategy and roadmap for an agent runtime platform that enables internal productivity. Candidates must have 10+ years building large-scale distributed systems and 3+ years leading complex projects or teams.
The role involves driving technical direction for the Claude Platform's Console and docs, while owning SDKs across seven languages and the CLI. Candidates need at least 8 years of full-stack experience, with 2+ years at a Staff level, and expertise in React and TypeScript.
This role involves owning the technical strategy and roadmap for developer productivity infrastructure, including build systems, CI/CD pipelines, and language ecosystems. Candidates need deep experience with large monorepos, proficiency in Python, Rust, or Go, and strong communication skills to support internal engineering partners.
This role involves building distributed and scalable systems to monitor AI models, prevent misuse, and ensure user well-being within the Safeguards team. Candidates must have proficiency in Python, distributed systems, and infrastructure as code, with experience in multi-cloud deployments and sandboxing technologies.
This role involves owning technical design and delivery for enterprise-facing products across the full stack, including admin consoles and APIs. Candidates must have 8+ years of software engineering experience and 2+ years at a Staff or equivalent technical leadership level.
This role involves defining multi-year technical strategy for foundational enterprise systems, including identity, permissions, and governance. Candidates must have 8+ years of engineering experience and deep expertise in distributed systems and API architecture.
This role involves owning technical design and delivery for enterprise-facing core products, focusing on building multi-player, asynchronous agents and organizational workflows. Candidates must have 8+ years of software engineering experience, ideally with 2+ years at a Staff or equivalent technical leadership level, and experience leading complex enterprise or B2B product delivery.
This role involves owning end-to-end connector activation and building platform foundations for the enterprise connector ecosystem. Candidates must have experience with growth funnels, OAuth 2.0/OIDC, and large platform APIs like Microsoft Graph or Google Workspace.
This role involves owning technical design and delivery for enterprise-facing core products that enable knowledge workers to collaborate with Claude. Candidates must have 8+ years of software engineering experience, ideally with 2+ years at a Staff or equivalent technical leadership level, and experience leading complex customer-facing products.
This role focuses on owning the technical strategy and architecture for configuration and experimentation infrastructure, including feature flagging and A/B testing platforms. Candidates must have deep experience with large-scale configuration management and strong proficiency in Python, Rust, or Go.
This role requires an experienced full-stack engineer with at least 8 years of practical experience and 2+ years in technical leadership. Candidates must demonstrate expertise in modern frontend and backend development, including React and TypeScript, while owning end-to-end product delivery.
The role involves building data pipelines and integrations for Anthropic's GRC platform to automate compliance checks and evidence collection. Candidates must have 8+ years of backend or data infrastructure experience and proficiency in Python, Go, or similar languages.
This Staff+ Software Engineer role leads technical direction for Inference Developer Productivity, focusing on toolchains and CI/CD across GPU, TPU, and Trainium platforms. Candidates require 8+ years of experience, deep systems engineering background, and proven success in managing accelerator ecosystems and developer productivity metrics.
This role involves independently scoping and leading complex, multi-month infrastructure projects and making architectural decisions for large-scale distributed systems. Candidates must have experience designing production infrastructure, strong software engineering fundamentals, and proficiency in at least one programming language.
The role involves owning and extending the Kubernetes scheduler and control plane for Anthropic's large-scale AI compute fleets. Candidates must have significant experience with production distributed systems and deep, hands-on Kubernetes expertise.
This role involves designing and shipping memory and search experiences for Claude across multiple products, focusing on user-facing features and underlying infrastructure. Candidates must have experience building user-facing products, agentic systems, and strong programming skills in Python and TypeScript.
This role involves designing and building scalable ML infrastructure for Claude's safety systems, including monitoring tools and deployment pipelines. Candidates must be proficient in Python and ML frameworks, with experience in distributed systems and productionizing safety research.
This role involves designing and operating high-availability backend systems for Claude's safety sampling path, focusing on latency and reliability. Candidates must have experience with distributed systems, SLO management, and incident response for mission-critical infrastructure.
The role involves designing and building scalable telemetry pipelines and observability platforms for Anthropic's infrastructure. Candidates must have experience with large-scale monitoring, eBPF-based tracing, and debugging below the application layer.
This role involves building real-time risk decisioning systems and managing the dispute lifecycle to prevent payment fraud. Candidates must have proficiency in Python and SQL, along with experience operating fraud detection systems in production.
This role involves building full-stack AI-native workflows for People Products, covering the employee lifecycle from hiring to promotions. Candidates must have 8+ years of experience as a fullstack or product engineer with a track record of leading complex projects.
This role involves building foundational platform infrastructure, such as service mesh, cloud portability, and the Claude API serving path. Candidates must have at least 8 years of backend experience and proficiency in systems languages like Python, Go, or Rust.
This role involves designing and operating internal tools to help product engineers ship code safely and efficiently. Candidates must have strong backend or infrastructure experience and a focus on developer experience.
The role involves designing and operating core connectivity infrastructure, including the MCP proxy and OAuth token management systems. Candidates must have backend or platform engineering experience and a strong understanding of production distributed systems reliability.
This role involves transforming the Claude Platform into a cloud-native, managed product for enterprise customers across AWS, GCP, and Azure. Candidates must have at least 8 years of backend or platform engineering experience and proficiency in Python, Go, or Rust.
The role involves designing provider-agnostic infrastructure and shipping Claude to third-party cloud platforms. Candidates must have 8+ years of experience building distributed systems and managing multi-cloud migrations.
This role involves designing and operating the infrastructure for model access, identity verification, and trusted access programs at Anthropic. Candidates must have at least 8 years of backend or platform engineering experience and strong product sense to set technical direction.
This role involves architecting privacy-preserving systems and leading privacy-enhancing technologies within Anthropic's Data Infrastructure team. Candidates must have 12+ years of software engineering experience, proficiency in Python or Go, and expertise in distributed systems and privacy regulations.
This role involves building and running the secure execution environment for Claude's agentic capabilities, focusing on safe and reliable untrusted code execution. Candidates must have at least 8 years of experience in backend or platform engineering, with proficiency in systems languages and cloud infrastructure.
This role involves building and deploying Claude products for U.S. government customers in highly regulated environments. Candidates must have a strong track record of shipping enterprise-grade products and experience with AI systems.
This role involves building safety and oversight mechanisms for AI systems, including monitoring models and preventing misuse. Candidates need a bachelor's degree in Computer Science or comparable experience, proficiency in a programming language, and strong communication skills.
This role involves designing and operating data infrastructure for the Safeguards team, including stores, pipelines, and privacy-safe APIs for sensitive data. Candidates must have strong systems fundamentals, experience with large-scale distributed systems, and a track record of building widely adopted platforms.
This role involves building internal investigation and enforcement tooling for Anthropic's Safeguards team to support human review of potential harms. Candidates must have a technical background in full-stack or platform engineering and experience shipping internal tools with demanding operational users.
This role involves building foundational systems for AI safety, oversight, and intervention mechanisms, including data infrastructure and evaluation tools. Candidates must have a bachelor's degree in Computer Science or comparable experience, proficiency in Python, and the ability to work across the stack.
This role involves designing and operating large-scale distributed storage systems for Anthropic's infrastructure. Candidates must have deep experience with storage fundamentals, security, and high-availability systems.
This role involves owning the core vector database layer for Claude's retrieval workloads, including index structures, storage, and query execution. Candidates must have direct experience building production-scale vector or search systems and strong systems programming skills in Rust, C++, or Go.
The role involves designing and building complex security systems for Anthropic's AI infrastructure, with a focus on identity, secrets management, and developer security. Candidates must have at least 8 years of software engineering experience, deep security expertise, and strong programming skills in Python or systems languages.
This role leads Anthropic's state and local government engagement across the Midwestern United States, focusing on AI policy and legislative relationships. Candidates must have experience in government affairs, political strategy, or legislative roles, with a track record of contributing to policy outcomes and building relationships with elected officials.
This role leads state and local government affairs across the Western United States, focusing on AI policy and legislative engagement. Candidates must have experience in political strategy, existing relationships with Western government leaders, and the ability to execute on strategic objectives.
This role involves driving adoption of Anthropic's AI platform for asset management and wealth management firms by securing enterprise-scale deals. Candidates must have 5+ years of enterprise sales experience in these sectors and a track record of exceeding quota for technical products.
This role involves driving adoption of Anthropic's frontier AI platform by securing strategic enterprise deals across retail and commercial banking. The candidate must have 5+ years of enterprise sales experience in banking and a track record of exceeding quota for complex technical products.
This role involves owning a named book of Global System Integrator accounts and driving revenue through complex, multi-quarter sales cycles. Candidates must have 8+ years of enterprise software sales experience and the ability to build executive relationships at the C-suite level.
This role involves driving adoption of Anthropic's AI platform in healthcare by securing strategic deals with health systems, hospitals, and payors. Candidates must have 5+ years of enterprise sales experience in healthcare and strong communication skills to navigate complex multi-stakeholder sales cycles.
This role involves driving the adoption of safe, frontier AI by securing strategic deals with top enterprises across key industry verticals. The ideal candidate requires 10+ years of enterprise sales experience and a proven track record of closing complex deals with strategic accounts.
This role involves driving adoption of Anthropic's AI platform for insurance carriers and reinsurers by securing enterprise-scale deals. Candidates must have 5+ years of enterprise sales experience in insurance and a track record of exceeding quota for technical products.
This role involves driving adoption of Anthropic's AI platform by securing enterprise-scale deals across pharmaceutical, biotechnology, and research organizations. Candidates must have 5+ years of life sciences enterprise sales experience and a track record of exceeding quota in technical product sales.
This role involves driving adoption of safe, frontier AI by securing strategic deals with top enterprises and owning the full sales cycle. The ideal candidate requires 7-10+ years of enterprise sales experience with a consultative approach and a track record of managing complex sales cycles.
This role involves driving the adoption of safe, frontier AI by securing strategic deals with top digital native enterprises. The ideal candidate has 10+ years of enterprise sales experience and a proven track record of closing complex deals with strategic accounts.
This role involves owning strategic business development partnerships with major technology companies, focusing on product and distribution agreements. Candidates must have experience managing complex, multi-stakeholder negotiations and cross-functional execution for high-stakes commercial deals.
This role involves originating, structuring, and closing high-value compute and infrastructure deals for Anthropic. Candidates must have deep expertise in cloud capacity, semiconductor supply, or hyperscaler partnerships, along with strong financial modeling and negotiation skills.
This role involves partnering with AI-native companies to manage strategic customer relationships and lead complex commercial negotiations. Candidates must have 15+ years of experience in strategic sales and strong stakeholder management skills.
This role owns the commercial side of the Human Data Operations and R&D services vendor portfolio, including contract redlines, templates, and negotiations. Candidates need 7+ years of strategic sourcing experience in services categories and strong analytical skills for pricing and TCO modeling.
This role supports the Chief Commercial Officer by driving go-to-market initiatives and preparing executive materials. Candidates need 4+ years of experience in strategy, operations, or consulting, with strong analytical and communication skills.
This role involves running end-to-end supplier security assessments within the Security GRC department, including reviewing evidence, determining residual risk, and driving findings to closure. Candidates must have experience with supplier security assessments, risk fundamentals, and tuning LLM-backed workflows or automation in a compliance context.
The Supply Chain Delivery Manager owns end-to-end OFE equipment delivery for a regional data center portfolio, integrating schedules with construction teams and managing supplier escalations. The role requires 8-12+ years of supply chain or construction experience, proficiency in P6/MS Project, and strong data-fluent communication skills.
The Support Engineer serves as the dedicated technical point of contact for strategic enterprise accounts, investigating and resolving complex issues with deep contextual knowledge of customer architectures. Candidates must have 5+ years of technical product support experience, fluency with APIs, and hands-on troubleshooting skills for enterprise authentication flows.
The role involves building and leading Anthropic's tabletop exercise program to generate empirical evidence on decision-making under uncertainty. Candidates must have 10+ years of experience in national security or policy, a background in simulation methods, and the ability to manage a team of facilitators.
The Tax Director owns Anthropic's global income tax provision and US compliance function, managing ASC 740 closes and co-sourced compliance. The role requires substantial experience in multinational tax, complex M&A transactions, and infrastructure financing structures.
This role is a senior data science leader embedded in the Core Apps product team at Anthropic. The position requires managing a small team of Product Data Scientists and setting the data science agenda to inform product strategy and decision-making.
This role is a senior data science leader embedded in the Developer Platform product team at Anthropic. The position requires managing a small team of Product Data Scientists and setting the data science agenda for the Claude Developer Platform.
The Technical Architect role involves teaching customers and partners how to use Claude Code and related enterprise tools, while leading workshops and train-the-trainer programs. Candidates must have 5+ years of experience as a software engineer or solutions architect and demonstrate strong technical teaching skills.
The Technical Cyber Threat Investigator role involves detecting and investigating the misuse of Anthropic's AI systems for malicious cyber operations. Candidates must have proficiency in SQL and Python, experience with large language models, and expertise in threat intelligence frameworks.
This role leads the delivery of custom AI agent solutions for enterprise customers in regulated industries, owning engagements from SOW through production deployment. Candidates must be technical enough for architecture discussions and polished enough for executive briefings, with experience in AI/ML deployments and specialized verticals.
The Technical Deployment Lead role involves directing the delivery of custom agentic AI solutions for enterprise customers. Candidates must lead delivery plans, manage stakeholder relationships, and navigate complex enterprise environments without writing production code.
The Technical Editor role involves writing and editing technical public-facing reports and blogs for Anthropic, including model cards and safety reports. Candidates must have strong writing skills, familiarity with frontier AI systems, and experience working in AI safety.
This role leads high-priority safety and security programs for AI agents, coordinating cross-team efforts to strengthen development and deployment. Candidates must have 10+ years of experience in security or ML domains and strong executive communication skills.
This role involves driving scaling and efficiency programs for Anthropic's API stack across infrastructure, networking, and inference teams. Candidates need 7+ years of technical program management experience and expertise in API platforms and distributed systems.
This role involves owning the cross-Apps platform roadmap and driving alignment between platform engineering and product teams. Candidates need several years of technical program management experience and a track record of delivering complex, cross-functional programs.
This role involves owning cross-functional programs for billing platform foundations, commercialization, and payments operations. Candidates must have 6+ years of technical program management experience and the ability to reason about metering, invoicing, and payment flows.
This role involves driving planning and execution for compute infrastructure programs at Anthropic. Candidates need 7+ years of technical program management experience in infrastructure or compute-intensive environments.
This role leads complex, multi-disciplinary programs for Corporate Engineering, partnering with IT and Security to deliver end-to-end business solutions. Candidates must have 8+ years of experience in IT or Corporate Engineering, with at least 4+ years leading cross-functional programs.
This role drives cross-functional execution of Anthropic's data center programs from construction through commissioning and operations. Candidates must have 7+ years in data center infrastructure program management and experience leading multi-site programs with complex dependencies.
This role involves owning cross-team planning and execution for quote-to-cash systems, including SOX readiness and technical dependencies. Candidates need 6+ years of technical program management experience and expertise in enterprise systems integration.
This role involves managing the planning and execution of enterprise readiness capabilities, including security, compliance, and data governance, across product surfaces. The candidate must have 8+ years of technical program management experience and expertise in regulated industries such as financial services and healthcare.
This role involves owning the execution of custom hardware systems from concept through production deployment, managing ODMs, CMs, and component vendors. The position requires 8+ years of hardware systems experience and the ability to stand up NPI processes on a new team.
This role involves driving programs to scale Claude's inference fleet across GPU, TPU, and Trainium platforms. Candidates must have 7+ years of experience managing large multi-team infrastructure programs and technical fluency in serving infrastructure.
This role coordinates complex infrastructure programs across ML/AI systems, focusing on developer productivity, reliability, and cross-functional alignment. Candidates need 5+ years of technical program management experience and deep technical understanding of infrastructure systems.
This role involves owning the program to expand access to Anthropic's Life Sciences Verification Program, coordinating cross-functional engineering and product teams. Candidates need several years of technical program management experience and strong communication skills to manage complex, distributed workstreams.
This role owns the program for delivering Claude models into public sector environments, coordinating across research, infrastructure, security, and compliance teams. Candidates must have several years of technical program management experience and a track record of shipping software into regulated or restricted environments.
This role involves owning the planning and execution rhythm for recruiting technology, connecting multiple teams to drive system interconnection and provide a coherent view of priorities. Candidates must have 6+ years of technical program management experience and technical depth in systems integration, APIs, and data flows.
This role involves defining and building technical programs for research teams across compute, evals, and RL environments. Candidates need a background in ML research or engineering with experience building technical programs from scratch.
This role involves owning systems and programs for the reinforcement learning team to accelerate research and production runs. Candidates need an ML engineering or research background, technical depth in debugging pipelines, and strong organizational effectiveness.
This role owns the operational health and reliability of Anthropic's Safeguards Engineering infrastructure, including incident response, SLOs, and post-mortems. It requires technical program management experience in infrastructure-heavy environments and the ability to coordinate cross-team platform migrations and evaluation improvements.
This role involves conceptualizing and running programs to integrate Claude into scientific research, including grants and access initiatives. Candidates must have a PhD in a scientific or mathematical field, a track record of original research, and experience with the grants process.
This role drives execution of high-stakes security programs spanning engineering, infrastructure, and cross-functional teams to meet Responsible Scaling Policy commitments. Candidates must have experience executing technical programs, managing multi-team deployments, and making real-time technical trade-offs under pressure.
This role involves owning end-to-end execution of Anthropic's custom silicon program, from architecture definition through tapeout and production ramp. Candidates must have 8+ years of silicon program management experience and direct ownership of a chip that reached production.
This role involves owning the technology side of Anthropic's SOX program, including designing IT controls and automating evidence collection using Claude. Candidates must have 7+ years of experience in technical program management or IT audit, with a focus on SOX and IT general controls.
The Technical Recruiter role involves developing strategic recruiting plans and partnering with hiring managers to source and hire candidates across technical and non-technical disciplines. Key requirements include deep full-lifecycle recruiting experience, proficiency with applicant tracking systems, and the ability to independently manage complex searches.
This role leads the CBRN-E & Advanced Weapons team within Threat Intelligence, focusing on detecting and disrupting AI misuse for chemical, biological, radiological, nuclear, and explosive threats. Candidates must be senior domain experts in biosecurity or weapons non-proliferation with experience leading investigative teams and managing government stakeholders.
This role leads the Model Exploitation & Fraud team within Threat Intelligence, focusing on detecting and disrupting large-scale AI system exploitation. Candidates must have experience managing investigative teams, strong domain fluency in scaled abuse, and proficiency in SQL and Python.
This role leads technical program management for Anthropic's infrastructure organization, overseeing datacenter operations, multi-cloud compute scaling, and production serving systems. Candidates must have 10+ years of TPM experience, 7+ years managing TPMs, and the ability to drive critical programs while building and scaling the team.
The TPU Performance Engineer role involves identifying and addressing performance issues across ML systems, with a focus on designing and optimizing kernels for TPUs. Candidates must have a track record of solving large-scale systems problems and low-level optimization, with experience optimizing ML systems for accelerators.
The Transaction Manager drives commercial sourcing and execution for data center capacity deals, leading RFP processes and negotiating term sheets. The role requires 10+ years of experience in transaction management or infrastructure procurement, along with strong negotiation and cross-functional project management skills.
The Transaction Manager for Canada drives commercial sourcing and execution for data center capacity deals, leading RFP processes and negotiating term sheets. The role requires 10+ years of experience in transaction management or infrastructure procurement, along with strong negotiation and project management skills.
The role involves driving commercial sourcing and transaction execution for European data center capacity deals, including leading RFP processes and negotiating term sheets. Candidates must have 10+ years of experience in transaction management or data center leasing and strong negotiation skills.
The role involves building macroeconomic models of transformative AI and developing scenario-based forecasting tools for economic trajectories. Candidates must have a PhD in Economics and experience in macroeconomic modeling, structural estimation, and scenario-based forecasting.
The role involves owning Anthropic's external investment program and building an in-house investment program with direct fixed income trading capability. Candidates must have deep expertise in corporate cash investment strategy and experience with in-house investment programs, SMAs, and SOX-ready controls.
This role manages US public sector compliance and security GRC for Anthropic, focusing on FedRAMP, DoD, and state frameworks. Candidates must have several years of experience in security compliance or IT audit with hands-on US government compliance for cloud services.
This role is a senior individual-contributor position on the Platform research team at Anthropic, focused on conducting rigorous qualitative and quantitative UX research for developers and enterprises. Candidates must have industry UX research experience, mixed-methods expertise, and a technical background to work effectively with engineering-led teams.
The VC Partnerships Lead role focuses on forging high-impact startup partnerships and driving the adoption of Anthropic's AI capabilities within the startup ecosystem. Candidates must have 7+ years of experience in partnerships or growth roles, along with a deep understanding of the startup ecosystem and AI/ML technology.
The Vendor Admin Lead owns vendor master data and SOX controls for Anthropic's global Finance Operations team, reporting to the Director of Global Accounts Payable. The role requires 7+ years of vendor master or AP operations experience, including end-to-end ERP ownership, bank detail verification, and payment fraud prevention.
This role manages the design and implementation of warehouse and logistics capabilities for Anthropic's infrastructure. It requires experience in supply chain operations, vendor management, and tooling selection to scale hardware delivery.
This role manages day-to-day warehouse and logistics operations for Anthropic's North American infrastructure, overseeing inbound receiving, storage, inventory control, and outbound shipments to data centers. Candidates must have experience managing warehouse operations, third-party logistics providers, and inventory systems while maintaining strict chain of custody for high-value equipment.
The role involves leading multi-site customer projects and managing the strategic execution of industrial robotics deployments. Candidates must have a degree in engineering or robotics, experience in customer-facing roles, and strong communication and change management skills.
The Deal Desk Specialist coordinates the commercial process from pricing and quoting through contracting, approvals, and invoicing. The role requires hands-on experience in Deal Desk or Sales Operations and proficiency with CRM and ERP systems.
The Field Deployment Technician installs and configures ANYmal robots at customer sites, providing operator training and expanding inspection missions. The role requires frequent travel, technical skills in mechanics or robotics, and the ability to work in diverse industrial environments.
This role involves owning internal productivity by identifying and eliminating process inefficiencies across a 220-person company. The candidate must build and deploy automations using tools like n8n and partner with cross-functional teams to implement measurable operational improvements.
The role involves owning and improving electronics production test systems for ANYmal robots to support manufacturing scaling. Candidates must have a degree in Electrical Engineering and proven experience in electronics test engineering for PCBAs.
The role involves independently managing the end-to-end sales funnel to sell 30-50+ robotics units into key Oil & Gas accounts by 2027. Candidates must have proven Key Account Management experience in high-tech industrial solutions and a university degree in engineering, business, or marketing.
The Manufacturing Engineer role involves supporting daily manufacturing operations, maintaining robot production tooling, and executing New Product Introductions on the shop floor. Candidates must have a Bachelor's degree in Electronics, Electrical Engineering, or Mechatronics, along with three or more years of experience in high-tech manufacturing or robotics.
The role involves taking technical ownership of PCB layout design for complex multi-layer boards and managing the electronics component library. Candidates must have at least five years of experience in electronics design and expert proficiency in industry-standard ECAD software.
The Product Manager for Physical AI at ANYbotics in Zurich bridges commercial goals and robotics engineering to execute the autonomy roadmap. The role requires a technical background in robotics or computer science, experience with industrial customers, and expertise in technical product management for complex hardware-software systems.
The role involves performing in-house maintenance, diagnostics, and hardware repairs on ANYmal robots to ensure operational readiness. Candidates must have an apprenticeship in Polymechanics or Automation, practical knowledge of electromechanical assembly, and experience with measuring tools and ESD standards.
The role involves developing and maintaining frontend applications for ANYbotics' Workforce Suite using Angular. Candidates must have recent frontend experience with Angular 2+, a computer science degree, and strong communication skills in English.
The role involves leading value consulting and customer success for strategic Oil & Gas accounts, focusing on pre-sales value engineering and deployment. Candidates must have significant pre-sales or customer success experience in Oil & Gas or related industrial environments, along with an engineering degree or comparable technical background.
The role involves taking end-to-end technical ownership of high-complexity Printed Circuit Board Assemblies for autonomous mobile robots. Candidates must have at least seven years of experience in industrial electronics and proficiency in ECAD software.
The Senior Manager of Product Structure, PLM & MES is responsible for owning the strategic roadmap and implementation of PLM and MES systems to scale the company's digital thread. The role requires a Master's degree and over seven years of experience in PLM and MES management, with strong technical knowledge of systems like Teamcenter and Windchill.
The role involves owning the product quality improvement process for ANYbotics' robotic platforms in Zurich. Candidates must have a Master's degree and 3-7 years of experience in quality engineering, with expertise in root cause analysis and ISO standards.
The role involves leading the design, training, and deployment of reinforcement learning policies for ANYbotics' legged robots in industrial environments. Candidates must have a PhD or equivalent experience in RL, robotics, and sim-to-real transfer, with proficiency in Python and C++.
The Senior Sales Manager role owns the US Power & Utilities business, building the market for autonomous inspection robots. Candidates must have enterprise sales experience in power generation or utilities and the ability to manage complex sales cycles.
The role is a Senior Software Engineer position on the Autonomy team, focusing on C++ and Python development for mission-critical robotics systems. Candidates must have extensive production software experience, a strong understanding of autonomous systems, and proven leadership in software architecture design.
This internship involves writing Python code to interface with physical devices and deploy automated test procedures for ANYmal hardware subsystems. Candidates must have a solid Python foundation, hands-on hardware experience, and a degree in a related engineering field.
The role involves acting as a senior industry expert to bridge autonomous robotic technology with the Power & Utilities sector. Candidates must synthesize product stacks into cohesive technical solutions and business models for key accounts.
The Supplier Quality Engineer role involves defining supplier qualification criteria, conducting audits, and managing Quality Assurance Agreements aligned with ISO standards. Candidates require five years of experience in supplier quality management for mechatronic products and strong skills in root-cause analysis and cross-functional collaboration.
The VP Sales, North America role leads commercial growth across the US and Canada, owning regional strategy and sales organization. Candidates require a proven track record in industrial technology sales and hands-on leadership of enterprise deals.
The Configuration Manager owns product data governance and configuration control within Teamcenter for Apptronik's robot programs. The role requires at least 8 years of experience in configuration management and hands-on Teamcenter expertise to define release states and BOM structures.
The Controls Engineer - Actuation role involves owning actuator models and control systems for Apptronik's Apollo robot. Candidates must have strong C++ and Python skills, deep motor electromechanics knowledge, and experience with system identification and hardware testing.
Apptronik is seeking early-career, graduate, and experienced talent in robotics, autonomous systems, control theory, and perception to join its team. The role involves working on the Apollo humanoid robot across domains such as perception, control, software systems, and hardware design.
This role leads product management for Apptronik's hardware systems, including robots and peripherals, while building and coaching a team of product managers. The position requires at least 10 years of experience in product management or engineering, including 5+ years leading product managers, and deep fluency in hardware NPI and cost management.
This role leads product management for Apptronik's on and off-robot software, including autonomy, simulation, and cloud tools. The candidate must have 10+ years of experience, 5+ years leading product managers, and deep fluency in the full software lifecycle.
The role is a Director of Technical Accounting & Financial Reporting position based in Austin, TX, focused on establishing the company's technical accounting function. Candidates must have a CPA, 10+ years of experience, and expertise in U.S. GAAP, revenue recognition, and financial reporting.
The Director, Product Learning & Development reports to the SVP of Global Services and Support to build a global learning ecosystem for Apptronik's humanoid robot. The role requires creating certification programs, managing the learning tech stack, and leading a team to ensure operational readiness and customer adoption.
The ECAD Librarian role involves owning and maintaining the Altium component library to ensure schematic symbols, PCB footprints, and 3D models are accurate and standardized. The position requires hands-on expertise with Altium Designer, knowledge of IPC standards, and experience with PLM integration and component data management.
The role involves developing electronics for the Apollo humanoid robot, including designing and testing multi-layer mixed signal PCBAs. Candidates must have strong electrical engineering fundamentals and experience with prototyping, simulation, and hardware debugging.
This role leads a team of software engineers developing real-time control software for humanoid robots. The position requires strong experience in robot control, C++ real-time software, and managing engineering teams.
The Global Supply Manager - Electrical & Electronics owns sourcing strategy and supplier relationships for PCB, PCBA, and electronics components. The role requires at least seven years of experience in strategic sourcing and direct ownership of electronics commodities.
The Hardware Test Engineer role focuses on developing and validating robotic hand hardware for Apptronik's Apollo robot. The position requires hands-on experience in mechanical and electrical testing, test planning, and fixture design within a multidisciplinary R&D team.
This role leads the development of learning-based dexterous control algorithms for Apptronik's humanoid robot, Apollo. The engineer must bridge research and production software, designing scalable architectures for high-DOF manipulation tasks.
This role leads the development of learning-based dexterous control algorithms for Apptronik's humanoid robot, Apollo. The engineer must bridge research and production software, designing scalable architectures for high-DOF manipulation tasks.
The Manager, Manufacturing Engineering leads a team to scale complex hardware from early builds into repeatable production. The role requires 7+ years of manufacturing experience, including 2+ years of leadership, and expertise in NPI, process development, and production readiness.
The Operations Engineering Manager, Supply Chain, is responsible for New Product Introduction readiness, Approved Vendor List governance, and supply chain risk management for Apptronik's humanoid robot. The role requires seven or more years of relevant experience and two or more years of direct people management in operations engineering or hardware manufacturing.
This role leads the development and maintenance of scalable hardware and software test infrastructure for manufacturing and validation of robotic systems. Candidates must have a bachelor's degree and 5+ years of experience leading electromechanical system test development, with formal people-management experience.
This role serves as the technical authority for supplier manufacturing processes, quality systems, and production readiness for electromechanical assemblies. The candidate must have 5+ years of hands-on manufacturing engineering experience and proficiency in PPAP, APQP, and FMEA.
The role is a Senior Technical Program Manager (Operations) reporting to the PMO Director to bridge engineering and operations functions. The position requires 8+ years of technical program management experience and a Bachelor's degree in a related technical discipline.
The Principal Compute & Sensing Engineer serves as the lead architect for the Apollo humanoid robot's compute and sensory backbone. The role requires 12+ years of high-performance hardware design experience and expertise in functional safety architecture.
The Principal Compute & Sensing Engineer serves as the lead architect for the Apollo humanoid robot's compute and sensory backbone. The role requires 12+ years of high-performance hardware design experience and expertise in functional safety architecture.
The Principal People Analytics Specialist builds and leads the People Analytics function to turn workforce data into strategic signals for executive decision-making. The role requires 10+ years of experience in People Analytics, proficiency in SQL and BI tools, and the ability to advise senior leadership on talent strategy and data governance.
The Principal Robotics Machine Learning Engineer develops and deploys ML models for humanoid robot manipulation, managing the full lifecycle from data engine design to on-robot deployment. The role requires 7+ years of experience in robotic manipulation, deep fluency in computer vision and deep learning, and expertise in Python, C++, and PyTorch.
The Product Quality Manager oversees the Quality Team to drive high product quality standards and manage issue resolution for Apptronik's Apollo robot. The role requires experience in complex technical projects, statistical analysis, and managing contract manufacturers during mass production.
The R&D Technician role involves designing, prototyping, and assembling humanoid robots and auxiliary equipment. Candidates must have hands-on electromechanical skills, proficiency with technical drawings, and at least two years of assembly experience.
The role involves creating accurate abstractions for tendon-driven robotic hands and validating them through empirical testing to bridge simulation and physical hardware. Candidates must have 5+ years of experience in robotics, controls, or physical simulation, with proven expertise in sim-to-real transfer and system identification.
This role owns the full lifecycle of Apollo robot demonstrations at Apptronik's California office and at global events. It requires expertise in C++, Python, ROS, and robotics simulation tools to design and execute high-stakes live demos.
The Senior Benefits Specialist role involves owning the design, administration, and execution of benefits programs including health insurance, retirement plans, and wellness initiatives. The position requires an individual-contributor with deep subject-matter expertise to manage vendor relationships, ensure compliance with ERISA and ACA, and resolve complex plan administration issues.
The role involves owning the configuration and administration of Apptronik's ERP systems, partnering with stakeholders to translate requirements into scalable solutions. Candidates must have 5+ years of ERP experience and deep expertise in major platforms like Microsoft Dynamics 365, Salesforce, SAP, or Oracle.
This role leads a team responsible for PLM, MES, and Quality systems to support the transition of Apptronik's humanoid robot from prototype to volume production. The candidate must have 6+ years of enterprise systems leadership experience, including at least 2 years of direct people management, and demonstrated ownership of full-lifecycle system implementations.
The Senior Compensation Business Partner supports Apptronik's Total Rewards team by conducting complex compensation analyses and managing pay strategy. The role requires 5+ years of compensation experience, advanced Excel skills, and knowledge of compensation compliance and market data sources.
The role involves designing custom BLDC/PMSM motors for humanoid robots, setting performance metrics, and leading electromagnetic simulations. Candidates must have an MS or PhD in a related engineering field and 5+ years of experience in electric machine design.
The role involves developing electronic systems for the Apollo humanoid robot from ideation through mass production. Candidates must have 4+ years of experience in electrical engineering and proven success shipping electronics products.
The role involves owning electronic systems for the Apollo humanoid robot's end effectors, from ideation through mass production. Candidates must have at least 8 years of experience in electrical engineering and expertise in PCB design, motor drives, and prototyping.
The role involves driving electronics development for the human-robot interface of the Apollo robot, focusing on display and LED lighting systems. Candidates must have proven experience designing audio and display systems, with at least five years of industry experience in display or LED lighting electronics.
The role involves driving electronics development for the power electronics and power distribution subsystems of the Apollo humanoid robot. Candidates must have strong backgrounds in power electronics, batteries, battery chargers, and PCBA design.
The role involves owning the board support package and OS configuration for the NVIDIA Jetson Thor platform in humanoid robots. Candidates must have at least five years of embedded systems experience with Linux or QNX and strong OS-level skills.
The role involves developing and optimizing actuation and motor control firmware for humanoid robots, including brushless motor control and real-time performance. Candidates must have a Bachelor's degree in engineering and at least five years of experience in production-grade embedded software.
The Senior Firmware Engineer role involves developing and maintaining embedded software for humanoid robot hands, focusing on motor control, sensor integration, and real-time communications. Candidates must have experience with C/C++, TI C2000 microcontrollers, and EtherCAT, along with familiarity with safety-critical design standards.
The role involves owning design validation, reliability, and production test for electronic components such as PCBAs, wiring harnesses, sensors, and compute modules. Candidates must have hands-on experience with bench equipment, production test methods, and HALT/HASS, along with strong debugging skills to root-cause hardware failures.
The Senior Manager of Hardware Connectivity leads a team designing the data transmission systems for the Apollo humanoid robot. The role requires 10+ years of hardware engineering experience and 4+ years of people management, with expertise in RF, signal integrity, and EMI/EMC.
The Manufacturing Engineer serves as the bridge between product design and mass production, developing and validating robust manufacturing processes for new hardware. The role requires 5+ years of experience in manufacturing engineering, NPI, or complex hardware industrialization, along with proficiency in CAD and DFM/DFA.
The Senior Mechanical Engineer role involves designing and developing Apollo humanoid robots across the full product lifecycle, from concept to production. Candidates must have strong engineering fundamentals, experience with DFMA and manufacturing, and the ability to own significant subsystems with minimal supervision.
The Senior Mechanical Engineer leads the design and development of battery systems and docking infrastructure for the Apollo humanoid robot. The role requires 6+ years of mechanical design experience, proficiency in CAD, and the ability to collaborate across engineering teams to ensure safety and manufacturability.
The role involves leading the detailed design and analysis of electric actuators for a humanoid robot system. Candidates must have 6+ years of experience in actuation or robotic systems and proficiency in CAD software.
The Senior PCBA Design Engineer role involves owning PCB schematic capture and layout in Altium Designer, with a focus on power electronics and high-speed digital design. Candidates must have at least five years of experience and a Bachelor's degree in Electrical Engineering or equivalent.
The Senior Perception Hardware Engineer role focuses on sensor calibration for Apptronik's humanoid robot Apollo. The position requires designing physical fixtures, writing calibration algorithms, and building scalable factory processes for multi-modal perception systems.
This role involves developing and optimizing perception and SLAM pipelines for humanoid robots, focusing on visual-inertial odometry, multi-sensor fusion, and deep learning models. Candidates must have an MS/PhD and 3-5+ years of experience shipping perception or SLAM systems in robotics or real-time vision applications.
The Senior Product Manager role focuses on driving the product vision and execution for human robot interaction features on Apptronik's Apollo robot. Candidates must have 7+ years of product management experience and strong analytical skills to translate market demands into executable roadmaps.
The role involves driving the product vision and roadmap for simulation platforms used in robot fleets. Candidates must have experience managing simulation environments and translating technical insights into business impact.
The role involves owning the product direction and roadmap for Apptronik's humanoid robot platform, managing the deployed fleet, and driving cost-down initiatives. Candidates must have at least five years of product management experience and a technical degree, with strong analytical and communication skills.
This role involves driving the product vision and roadmap for perception and navigation software on Apptronik's humanoid robot. Candidates must have 7+ years of product management experience and strong expertise in autonomy, field testing, and safety.
The Senior Product Manager will own the teleoperation product roadmap and interface for Apollo's humanoid robot. The role requires 7+ years of product management experience, human factors expertise, and experience with real-time operator interfaces or teleoperation.
The Senior Reinforcement Learning Engineer develops and deploys advanced RL algorithms for humanoid robot locomotion and manipulation. The role requires 5+ years of experience with RL frameworks, Python, C++, and sim-to-real transfer, plus mentoring responsibilities.
The Senior Reinforcement Learning Engineer develops and deploys advanced RL algorithms for humanoid robot locomotion and manipulation. The role requires 5+ years of experience with RL frameworks, Python, C++, and sim-to-real transfer techniques.
The Senior Site Reliability Engineer manages and scales the DevOps platform, including Kubernetes clusters and CI/CD infrastructure, to ensure reliability and safety for robot software releases. The role requires deep Linux and Kubernetes expertise, along with skills in infrastructure as code, observability, and debugging production issues.
The role involves building ML infrastructure platforms for data curation, pipelines, and model evaluation at multi-terabyte scale. Candidates must have deep experience in large-scale data pipelines, annotation, or evaluation, plus strong Python and cloud skills.
The role involves defining and testing the reliability of complex electromechanical systems, including setting MTBF targets and leading root-cause investigations. Candidates must have experience leading reliability programs, designing tests, and mentoring engineers.
The role leads system-level integration and validation of soft goods, robotic gloves, and grip surfaces for Apptronik's humanoid robot, Apollo. Candidates must have strong mechatronics and systems engineering fundamentals with hands-on expertise in flexible assemblies and embedded tactile sensors.
The Senior Systems Engineer role focuses on integrating and developing the humanoid robot chassis, which serves as the structural and electromechanical backbone. The position requires strong experience in robotics systems design, structural mechanics, and cross-functional collaboration to ensure performance, safety, and manufacturability.
The Senior Wire Harness Engineer designs, routes, and validates complex wire harnesses for Apptronik's humanoid robot Apollo. The role requires strong electrical and mechanical integration skills, E-CAD proficiency, and experience with high-speed data and power distribution in dynamic environments.
The Software Engineer role focuses on implementing reinforcement learning and control algorithms for high-DOF robotic hands. Candidates must have experience with dexterous manipulation, Python, C++, and deploying algorithms on physical hardware.
This role develops and deploys learning-based manipulation policies for Apptronik's humanoid robot Apollo, focusing on post-training methods for real-world tasks. The engineer must bridge research and production software, collaborating with simulation, data, and hardware teams to ensure reliable deployment.
The Senior Manager of Inventory Management, Logistics, and Procurement leads and scales operational capabilities for inventory, warehouse, logistics, and supplier management. The role requires 10+ years of supply chain experience, 5+ years of people management, and a Bachelor's degree to improve inventory accuracy and material availability in a manufacturing environment.
The role involves owning safety assurance for software and AI in humanoid robots, including architecture analysis and verification evidence. Candidates must have 8+ years of experience with safety-critical software, IEC 61508-3, and AI safety standards.
The Staff Drivetrain Engineer role involves designing, building, and testing drivetrain technologies for electric actuators in Apptronik's humanoid robot. Candidates must have 8+ years of experience in drivetrain development and proficiency in gear design software and CAD.
The role involves owning electronic systems for the Apollo humanoid robot from ideation through mass production. Candidates must have 8+ years of experience in electronics development and proven success shipping products to market.
The role involves leading the architectural design and implementation of a next-generation compute solution for a humanoid robot platform. Candidates must have 10+ years of experience in embedded systems or robotics compute design and expertise in functional safety standards.
The role involves leading the architectural design and implementation of a next-generation compute solution for a humanoid robot platform. Key requirements include 10+ years of experience in embedded systems or robotics compute design and expertise in functional safety standards.
The role involves architecting the electronics and FPGA stack for Apollo's sensor bridge, including requirements, RTL development, and production transition. Candidates must have strong FPGA hardware design experience and at least 8 years in Electrical Engineering.
The role involves architecting the electronics and FPGA stack for Apollo's sensor bridge, including requirements, RTL development, and production transition. Candidates must have strong FPGA hardware design experience and at least 8 years in Electrical Engineering.
The Staff Mechanical Engineer provides technical leadership for the design and development of Apollo humanoid robots across their full lifecycle. The role requires deep expertise in mechanical systems, DFMA, and FEA, along with experience mentoring engineers and leading cross-functional design efforts.
The role leads the structural design and architecture of a next-generation robotic hand for a humanoid platform, focusing on dexterous manipulation in unstructured environments. Candidates must have 8 years of mechanical design experience in complex robotic systems and expertise in surfacing tools like SolidWorks.
The role is a Staff Mechanical Engineer serving as the technical lead for the Apollo robot's upper body, including the torso, head, and arms. The position requires 8 years of mechanical design experience in complex robotic systems and expertise in kinematics, high-density integration, and Class-A surfacing.
The Staff MLOps Engineer owns the technical direction of Apptronik's MLOps platform, managing dataset lifecycle, experiment tracking, model registry, and serving paths for the Apollo robot. The role requires 8+ years of software engineering experience, deep proficiency in Python and a systems language, and expertise in Kubernetes and production ML platform architecture.
The Staff People Technology Specialist manages Workday functional configuration, with a primary focus on payroll setup, compliance, and system maintenance. The role requires five to seven years of Workday experience, including two years with payroll, and a bachelor's degree in IT or a related field.
The Staff Perception Hardware Engineer leads the physical integration and validation of Apollo's perception hardware systems, including cameras and optics. The role requires 8+ years of experience in shipping complex vision hardware and hands-on troubleshooting of high-speed data links.
The Staff Perception Hardware Engineer leads the physical integration, validation, and production of Apollo's perception hardware systems. The role requires 8+ years of experience in shipping complex vision hardware, along with expertise in high-speed signal debugging, optical tuning, and cross-functional technical leadership.
This role involves driving the product vision and roadmap for Apptronik's Apollo humanoid robot, focusing on integrating foundation models into its autonomy stack. Candidates must have 7+ years of product management experience and strong knowledge of robot learning techniques like imitation and reinforcement learning.
The Staff Simulation Engineer role focuses on developing a high-performance core simulation platform for RL training and controls validation. The position requires strong C++ and Python skills, robotics fundamentals, and experience with modern simulators and cloud-based parallel computing.
This role involves leading the Motion Control & Planning team to develop whole-body control and learning-based systems for Apptronik's humanoid robots. Candidates must have 8+ years of experience in robot controls, with expertise in C++, reinforcement learning, and deploying algorithms on physical hardware.
This role involves leading the Motion Control & Planning team to develop whole-body control and learning-based systems for humanoid robots. Candidates must have deep robotics fundamentals, expertise in whole-body control, and strong real-time C++ and Python skills.
This role requires a technical authority for humanoid robot safety, responsible for authoring system safety architectures and cases. Candidates must have 12+ years of experience, including 7+ in functional or system safety for complex robotic products.
This role owns product safety and regulatory compliance for a humanoid robot, including electrical safety, EMC/EMI, battery, and radio standards. The engineer leads certification engagements and manages the compliance roadmap across multiple global markets.
This role is a Staff Technical Program Manager position in the PMO department, serving as the first TPM in the Sunnyvale office. The candidate must lead cross-functional programs for MLOps and perception systems while managing strategic partnerships and establishing program structures for the new site.
The role involves owning design verification and NPI testing for custom actuator systems, requiring hands-on experience across mechanical, electrical, firmware, and software domains. Candidates must independently drive actuator characterization, develop test methods for production handoff, and diagnose hardware issues across the electromechanical stack.
The Staff Video Producer role involves creating cinematic narratives for Apptronik's robotics products, managing video projects from pitch to delivery. Candidates must have 10+ years of experience in writing, producing, and directing video content, with strong skills in creative direction and production management.
The Staff Wire Harness Engineer serves as the principal technical authority for the humanoid robot's interconnect architecture, defining power and data distribution strategies. The role requires expert-level knowledge of high-speed data and high-power distribution, along with 8+ years of experience in complex electromechanical systems.
The Strategy & Operations Associate is a high-potential generalist in Customer Transformation who structures ambiguous problems and builds models for pricing and market sizing. The role requires 2-4 years of experience in consulting or strategy, strong quantitative skills, and the ability to deliver executive-ready recommendations.
The role is a Contract Talent Acquisition Recruiter responsible for full-cycle searches across technical and corporate roles. The position requires 5+ years of recruiting experience, proficiency with applicant tracking systems, and the ability to manage multiple complex searches.
The Applications/Integration Engineer at RMAC drives the transition of the Atlas humanoid robot into production-level automotive manufacturing by managing the onsite fleet and designing data collection curricula. The role requires 3-5+ years of experience in robotics or systems engineering, proficiency in Linux and Python, and the ability to support multi-shift operations.
The Associate Director of Prototype Fleet & Repair is a senior operational leader responsible for the full lifecycle of the Atlas robot fleet, including deployment, health monitoring, field support, and repair. The role requires 10+ years of experience in field operations or fleet management, 5+ years of people management, and a Bachelor's degree in a technical discipline.
The Associate Director, Advanced Manufacturing leads manufacturing engineering for Prototype Operations, overseeing the development of processes, tooling, and automation to turn designs into hardware. The role requires 10+ years of manufacturing engineering experience, including 4+ years in leadership, and expertise in complex electro-mechanical products.
The Associate Director of Integration Project Management leads a team of IPMs and coordinators to oversee complex customer deliveries across robotics product lines. The role requires a bachelor's degree in engineering, 12+ years of technical project management experience, and 4+ years of direct people leadership.
The Associate Director, Machining leads the Precision Shop's Milling and Turning departments, overseeing daily operations, throughput, and quality. The role requires 12+ years of high-precision CNC experience and 5+ years in leadership, with expertise in multi-axis machining and capacity planning.
The Associate Director, R&D Quality Engineering leads quality strategy and execution for prototype operations, supplier quality, and failure investigation. The role requires 12+ years of quality engineering experience, 5+ years of leadership, and mastery of structured problem solving and traceability systems.
The Associate Director of Systems Test Engineering leads a cross-disciplinary team to develop verification, validation, and test systems for the Atlas humanoid robot. The role requires 10+ years of test engineering experience and 5+ years managing teams in complex robotic or embedded system development.
The Senior Data Engineer role involves building mission-critical failure analysis data pipelines and automated diagnostic tools for the Atlas humanoid fleet. Candidates must be proficient in Python and SQL, with experience in multi-source pipelines and data warehousing.
The role involves designing data collection tasks and curricula to train Atlas's autonomous policies in partnership with the Atlas Behavior team. Candidates must have strong organizational skills, coaching instincts, and 3+ years of relevant experience to manage curriculum backlogs and pilot quality.
The role involves leading a team of 5-10 electrical engineers to design and support high-performance robotic actuator products. Candidates must provide technical leadership in electrical system design and manage personnel.
The role involves building tools and infrastructure for data pipelines, training, and evaluation in a humanoid robot behavior development cycle. Candidates need 3+ years of experience in robotics or ML infrastructure, with strong Python proficiency and familiarity with C++.
The role involves building perception and geometric reasoning systems for the Atlas humanoid robot, focusing on real-time SLAM and offline 3D reconstruction pipelines. Candidates must have a PhD in robotics or related fields and experience deploying SLAM or 3D reconstruction systems for robots.
The role involves designing and developing tactile sensing data systems for robotic manipulation, focusing on high-bandwidth data acquisition and signal processing. Candidates must have an MS or PhD in a related field and 5+ years of experience in embedded systems, Python, and C++.
The Atlas VLA Research Intern role involves leading research projects on Vision-Language-Action models for humanoid robots. Candidates must have expertise in training and deploying imitation learning models with strong experimental hygiene.
The role involves creating and optimizing complex CNC programs for precision robotic parts, requiring expertise in multi-axis machining and advanced CAM tools. Candidates must have 5+ years of experience in CNC programming and advanced machining, with strong troubleshooting and fixturing design skills.
The Director of CX Strategy and Portfolio Management reports to the VP of Customer Experience to lead the strategic roadmap for a formalized customer experience product. The role requires 15+ years of leadership in product or portfolio management, with deep fluency in Agile methodologies and enterprise scaling.
The role serves as the overall robot architect for the Atlas physical platform, leading cross-functional integration across actuation, structures, compute, power, sensing, and thermal teams. Candidates must maintain system budgets, drive experiment design, and resolve high-impact technical trade-offs as a principal individual contributor.
This co-op role involves working with the Atlas Electrical Engineering team to design, build, and troubleshoot compact electrical systems in robots. Candidates must be actively pursuing a BS or MS in Electrical Engineering and possess strong analytical skills, familiarity with circuit fundamentals, and experience with Python or MATLAB.
The Field Application Engineer role involves delivering Boston Dynamics robotic solutions, managing site-specific integrations, and overseeing system commissioning. Candidates must have a Bachelor's degree in a related engineering field and experience in field applications or solution architecture.
The Field Repair Technician role involves troubleshooting and repairing complex robotic systems for the Atlas fleet at the Robotic Mobile Application Center. Candidates must possess mechanical assembly experience, electrical fundamentals, and the ability to work within a Linux environment.
The role involves troubleshooting, testing, and repairing complex robotic systems for the Atlas fleet at the Robotic Mobile Application Center. Candidates must possess mechanical assembly experience, electrical fundamentals, and the ability to lift 50 pounds unassisted.
The Field Service Engineer supports Boston Dynamics' warehouse robotics at customer sites in the Southeast, performing repairs, installations, and maintenance. The role requires strong technical skills, customer empathy, and a high threshold for travel to build field service foundations.
The Finance and Accounting Manager leads a team to ensure compliance with US GAAP and manage accounting operations, including general ledger and financial reporting. The role requires 8+ years of progressive accounting experience, a Bachelor's degree, and proficiency with ERP systems and advanced reporting tools.
The Integration Operations Coordinator manages master project scheduling and resource allocation for customer integration projects within the IPM organization. The role requires 5+ years of experience in project scheduling, resource allocation, or program operations, along with expertise in building operational dashboards and managing complex scheduling dependencies.
The IT Service Operations Technician provides technical support and resolves issues for internal users across software, hardware, and networks. The role requires 2+ years of IT help desk experience, proficiency in Windows, macOS, and Linux, and familiarity with ITSM platforms.
The role involves leading a team of approximately five machine learning engineers to design and improve Orbit's machine learning systems for robotic inspection. Candidates must have expert software development skills, particularly in Python, and experience training state-of-the-art generative AI models for computer vision tasks.
The role involves designing, building, and testing prototypes for humanoid robots while collaborating with mechanical, electrical, and software engineers. Candidates must have hands-on experience with 3D CAD tools and be working toward a degree in Mechanical Engineering or Robotics.
The Principal Mechanical Engineer leads the architectural vision and technical strategy for high-performance actuator products on humanoid robotic platforms. The role requires extensive experience in electromechanical design, production release, and mentoring senior engineers to ensure robust mass-production hardware.
This role involves defining the frontier of humanoid robotics for logistics customers by architecting hardware, AI, and software solutions. The position requires at least seven years of product management experience, cross-functional collaboration, and domain expertise in logistics and robotics.
The R&D Robotics Technician IV role involves hands-on construction, testing, and troubleshooting of electromechanical systems for Boston Dynamics robots. Candidates must independently conduct design validation testing, troubleshoot failures, and create test plans with minimal guidance.
The Robustness Test Technician role involves hands-on construction, operation, and troubleshooting of integrated mechanical and electrical systems for robotic prototypes. Candidates must independently conduct design validation testing, create test plans, and troubleshoot system failures with minimal engineering guidance.
The role involves developing a sales pipeline for the Industrial team by reaching out to new prospects via phone and email to set up meetings for Sales Managers. Candidates must have a Bachelor's degree, 2-3 years of sales experience in Industrial accounts, and strong communication skills.
The role leads the ML Platform Team to build foundational infrastructure for machine learning work, scaling from 4 to 10-12 engineers. Candidates need 7-12 years of engineering experience with 2-3 years in management or tech lead roles, plus technical credibility in GPU compute, data storage, or pipeline frameworks.
The role involves delivering Boston Dynamics robotic solutions, overseeing site-specific architecture, and managing customer integrations. Candidates must have a degree in a related field and at least two years of experience in senior-level field applications engineering or solution architecture.
The role involves supporting advanced Stretch Robotics at customer worksites by performing emergency repairs, installations, and routine maintenance. Candidates must have 3+ years of field service experience, strong technical capabilities, and the ability to travel up to 80% of the time.
The role involves building and integrating systems for the Atlas humanoid robot's agentic autonomy stack, including planning, reasoning, and user interfaces. Candidates must have 2+ years of software engineering experience and strong skills in frontend, backend, and database technologies.
The Senior Global Supply Chain Manager leads strategic sourcing and global supplier partnerships for Boston Dynamics' robotics platforms. The role requires 7+ years of experience in global sourcing, commodity strategy, and supplier management, with expertise in cost modeling and ERP systems.
The Senior Global Supply Chain Manager leads strategic sourcing and global supplier partnerships for Boston Dynamics' robotics platforms. The role requires 7+ years of experience in global sourcing, commodity strategy, and supplier management, with expertise in cost modeling and ERP systems.
The Senior Manufacturing Quality Engineer supports the Atlas program by providing real-time technical triage and hands-on support on the manufacturing floor. The role requires a Bachelor's degree in engineering, 2-5 years of manufacturing quality experience, and proficiency in root cause analysis methodologies.
The role involves building and maintaining perception systems for a deployed robot fleet, focusing on object detection, localization, and state estimation. Candidates must have a degree in a related field, at least one year of experience, and strong C++ and Python skills.
The Senior Sales Executive role focuses on New Logo Expansion within the Warehouse Robotics team, managing major accounts critical to early business growth. The position requires at least 8 years of B2B technology sales experience, a bachelor's degree, and the ability to assess commercial potential and manage strategic customer relationships.
The Senior SQA Engineer role focuses on ensuring the quality and reliability of an integrated robotics ecosystem by validating web platforms and physical autonomous robots. Candidates must have a bachelor's degree and at least three years of experience in automated software testing for web applications and complex electromechanical systems.
The Senior Staff Brand Marketing Manager leads brand evolution at Boston Dynamics, translating robotics innovation into market value. The role requires 5+ years of brand or experiential marketing experience and strong stakeholder management skills.
The Senior Staff Customer Success Manager role manages high-value client accounts for Boston Dynamics' robotic solutions, focusing on retention, expansion, and strategic partnership. Candidates must have 8+ years in customer success or strategic account support, with 3-5 years in technology or robotics, and strong analytical and stakeholder management skills.
The role involves leading the design and deployment of manufacturing test systems for the Atlas robot program. Candidates must have 8+ years of experience in electrical engineering and hands-on skills in building hi-pot test stations and PCBA fixtures.
The role involves designing and developing firmware for embedded systems and humanoid robots at Boston Dynamics. Candidates must have a bachelor's degree and 7+ years of experience in C, C++, and embedded systems development.
The Senior Staff Manufacturing Engineer supports the Atlas program by optimizing low-volume production processes, assembly workflows, and custom tooling. The role requires 8-15 years of experience in advanced manufacturing, CAD proficiency, and expertise in DFM/DFA, Lean Manufacturing, and Six Sigma methodologies.
The role involves architecting and implementing test systems for Boston Dynamics robots, including Spot, Stretch, and Atlas. Candidates must have 8+ years of experience in test software development, electromechanical engineering, and Python programming.
The Senior Staff Mechanical Engineer leads the transition of high-performance actuator products from architecture to mass-production hardware for humanoid robotic platforms. The role requires technical leadership in mechanical design, production release, and team mentorship, with a focus on electromechanical systems and manufacturing rigor.
The role involves leading mechanical design efforts for key subsystems and implementing systems across multiple disciplines. Candidates must have strong mechanical engineering fundamentals and experience managing technical trade-offs.
The Senior Staff Mechanical Engineer leads the technical design and production release of commercial hardware for Boston Dynamics' Atlas humanoid robot. The role requires 7+ years of electromechanical product design experience, proficiency in CATIA and GD&T, and the ability to mentor engineers while managing technical risk.
The role involves building and integrating agentic systems for the Atlas humanoid robot, focusing on planning, reasoning, and tool integration. Candidates require 5+ years of full-stack software engineering experience with backend technologies and LLM integrations.
The role involves setting technical direction for the Stretch robot's perception stack and owning key pipelines like object detection and tracking. Candidates must have 10+ years of experience building perception systems and strong C++ and Python skills.
The role involves owning the strategy and execution of Atlas announcements and developing go-to-market plans for humanoid robotics. Candidates must have at least 8 years of experience in marketing or product management and demonstrate the ability to execute high-level launches.
The role involves defining the global thermal management strategy and multi-physics simulation roadmap for Boston Dynamics' next-generation robotic platforms. Candidates must possess a PhD or MS in Mechanical, Aerospace, or Thermal Science, along with 10+ years of experience in high-fidelity CFD and thermal analysis.
The role leads social media strategy and execution to drive measurable business impact and full-funnel marketing objectives. Candidates must have at least five years of experience in social media or digital marketing and strong data-driven skills.
The role involves developing full-stack cloud-based services and solutions for Boston Dynamics robots, spanning back-end infrastructure, data pipelines, and front-end interfaces. Candidates must have 7+ years of experience in full-stack software development and expertise in cloud technologies, distributed systems, and microservice architectures.
The role involves leading systems engineering for safety-critical embedded robotic systems, focusing on MCU/MPU firmware and safety analysis. Candidates must have 7+ years of experience in embedded software, safety standards, and requirements management.
The role involves providing independent safety assurance for legged robotic systems across the full product lifecycle, including hardware, software, and AI/ML. Candidates must have 6+ years of experience in product safety or related safety-critical fields and strong systems engineering knowledge.
The role involves resolving technical customer issues for Boston Dynamics' robot ecosystem and serving as an internal Voice of the Customer. Candidates must have a bachelor's degree, 3+ years in technical support, and proficiency in Linux and Python or C++.
The Senior Treasury Specialist manages liquidity, funding, and debt while maintaining accurate financial records. The role requires 3-5 years of treasury experience, proficiency in Excel, and strong analytical and communication skills.
The role involves testing the Atlas Humanoid Robot's software systems, focusing on reliability, safety, and performance through metrics-based system testing. Candidates must have 3-4 years of experience in software QA or development, with hands-on experience in Hardware-in-the-Loop testing and proficiency in Python, C#, or similar languages.
The role is a Sr Staff Technical Program Manager supporting complex robotics development programs within Prototype Operations. Candidates must have 10+ years of experience in technical program management or manufacturing operations and a Bachelor's degree in a related field.
The role supports customers and internal teams in the post-sales order fulfillment process for mobile robotics and warehouse solutions. Candidates need 2+ years of customer support experience, a bachelor's degree, and proficiency in CRM, ERP, and WMS systems.
The Business Operations Project Manager leads cross-functional projects across functions like GTM, Manufacturing, and IT to support company growth. The role requires translating business objectives into delivery plans, managing risks, and partnering with stakeholders to drive execution.
The role is an Associate Counsel, Corporate & Compliance position at Boston Dynamics reporting to the Assistant General Counsel. The candidate must have a J.D. and 5+ years of corporate law or compliance experience to support compliance programs, corporate governance, and subsidiary management.
The role involves managing high-value client accounts for Boston Dynamics' robotic solutions, focusing on post-sale engagement, retention, and strategic account planning. Candidates must have 5+ years of experience in customer success or client management within the technology or robotics industry.
The role involves designing electronics for Boston Dynamics' Atlas humanoid robot, including motor drives, power supplies, and high-speed communications. Candidates must have a BS or MS in Electrical Engineering and 5+ years of experience designing electronics, with skills in PCB layout and Linux.
The role involves developing and maintaining custom robot fleet management software for Boston Dynamics. Candidates need strong full-stack web skills, experience with the specified tech stack, and the ability to communicate complex technical topics.
The role involves designing and implementing System 2 architectures for humanoid robot control, focusing on planning, reasoning, memory, and tool-use frameworks. Candidates require 5+ years of software engineering experience with significant work on LLM-driven or agentic systems.
The role involves owning robot subsystems for the Spot team, covering architecture, development, and volume manufacturing. Candidates must have a BSME, 5+ years of experience, and proficiency in CATIA and FEA.
The role involves implementing MLOps infrastructure and pipelines to support ML and research teams at Boston Dynamics. Candidates must have 5+ years of experience as a Senior Software or ML Engineer with proficiency in Python, cloud platforms, and GPU cluster management.
The role involves leading cross-functional operations programs and initiatives at Boston Dynamics to bridge engineering and manufacturing. Candidates must have a BS or higher in a technical field and at least five years of program management experience.
The Staff Product Manager role manages enterprise hardware product initiatives for Boston Dynamics' Spot robot, including roadmap planning, requirements gathering, and go-to-market execution. The position requires at least two years of product management experience, strong data synthesis skills, and the ability to collaborate across engineering, sales, and supply chain teams.
The role involves owning the reinforcement learning stack for humanoid and quadruped robots, including parallel simulation and on-robot deployment. Candidates must have an MS or PhD in ML or Robotics with 3+ years of experience and expertise in RL toolboxes and GPU-accelerated simulation.
The role involves hands-on development of Stretch's manipulation stack, focusing on grasping, motion generation, and next box selection. Candidates need deep expertise in classical manipulation or robot learning, along with strong C++ and Python programming skills.
The role involves testing the Atlas Humanoid Robot's software systems to ensure reliability, safety, and performance. Candidates must have 6-8 years of experience in software QA or development, with proficiency in Python, C#, or similar languages.
This role serves as the technical lead for strategic enterprise accounts, scaling robotic solutions from single sites to global multi-site operations. Candidates must have 5+ years of experience in technology integration or robotics, with expertise in hardware, software, and network integration.
This role involves managing the operational efficiency of AI infrastructure resources, including GPU allocation and data processing pipelines, within Boston Dynamics' PMO. The candidate must have a technical background and at least two years of program management experience to coordinate cross-functional teams and prioritize work.
The role involves researching and building machine learning models to enable robots to operate safely around people. Candidates must have 5+ years of experience applying deep learning to computer vision or LLMs and experience in the full modeling cycle from research to deployment.
The Supply Chain Program Manager leads end-to-end supply chain execution for new product introductions and major program changes across advanced robotics platforms. The role requires 5+ years of experience in supply chain program management, NPI sourcing, or operations, along with a Bachelor's degree in a related field.
The Systems Test Engineer Co-op role supports the verification and validation of Boston Dynamics' humanoid robot systems. Candidates must be in progress with a Bachelor's or Master's degree in Mechanical or Electrical Engineering.
The Technical Accounting and Reporting Manager supports technical accounting functions, including revenue recognition and lease accounting, while maintaining the Company Accounting Manual. The role requires a Bachelor's degree in Finance or Accounting, a CPA or equivalent certification, and at least 8 years of progressive experience in technical accounting.
This co-op role supports the Boston Dynamics PMO in managing technical program schedules, tracking cross-functional progress, and preparing status updates. Candidates must be students pursuing an engineering degree with strong communication, organizational skills, and familiarity with Google Workspace.
The Technical Program Manager oversees the technical orchestration and operational compliance of Boston Dynamics' Certified Integrator and Service Provider partners. The role requires 4-7 years of technical experience in robotics or industrial automation, with at least 3 years in technical program management.
The Test Technician III role involves operating logistics robots and executing software and hardware tests for Boston Dynamics. Candidates must have at least two years of hands-on testing experience with robots or automation equipment and proficiency in tools like Jira and TestRail.
The role involves leading third shift data operations for Atlas robots in Waltham, MA, focusing on safe execution and team management. Candidates need a bachelor's degree and three years of experience managing employee performance in operations or production environments.
The Applied Researcher, Audio role involves leading research on realtime conversation and human AI interaction, focusing on novel architectures, data, and evaluations for audio models. Candidates must have deep expertise in deep generative modeling and experience with large-scale training, GPU/TPU acceleration, and model optimization.
This role involves owning the technical side of voice production, from recording specifications to final delivery, and generating voices based on customer requirements. Candidates must have deep command of audio fundamentals and strong grasp of voice characteristics to produce high-quality voices.
The Commercial Account Executive role involves owning the full sales cycle for qualified B2B SaaS opportunities, from discovery to close, with a focus on high-volume deals. Candidates must have at least two years of closing experience, strong self-management skills, and the ability to handle technical conversations and POCs.
The role leads a data team of 6-8 people responsible for web-scale data infrastructure, multimodal pre-training datasets, and data-centric modeling. Candidates must have proven management experience leading a data team of at least 6 people and hands-on familiarity with data infrastructure at scale.
The role involves leading a core engineering team of 7+ engineers at Cartesia, focusing on technical direction and execution. Candidates must have experience managing high-performing teams and building large-scale distributed systems with strong technical judgment.
The role is an Engineering Manager for Product Engineering at Cartesia, focusing on building the team and leading product surfaces like Voices and billing. Candidates need 6+ years of product engineering experience, strong technical ability, and a track record of coaching and hiring engineers.
The Enterprise Account Executive role involves owning the full sales cycle for complex, multi-stakeholder enterprise deals at Cartesia. Candidates must have 6+ years of B2B sales experience, a track record of overachieving quota, and the ability to close six-figure ACV deals.
The Enterprise Engineer role involves architecting and building enterprise-grade systems for agentic voice AI solutions. Candidates must have strong backend engineering fundamentals and proficiency in Go and/or Python.
The Executive Business Partner supports four co-founders by managing complex calendars, logistics, and confidential information. The role requires 5 to 8 years of experience in executive support or operations, with a focus on building operating rhythms and driving ambiguous problems to completion.
The GTM Strategist role focuses on driving outbound into enterprise targets, building account plans, and identifying multi-threaded entry points. Candidates need 1-2 years of BDR/SDR experience, strong communication skills, and a track record of exceeding pipeline targets.
The role is an Inbound GTM Strategist responsible for owning the inbound motion, qualifying leads, and routing them to the appropriate next steps. The position requires 1-2 years of client-facing experience in sales development or a similar role, along with a high-velocity work style and strong persistence.
The role involves designing and building a low-latency, scalable inference and serving stack for foundation models using Transformers and SSMs. Candidates must have strong engineering skills, experience with large-scale distributed systems, and a background in machine learning inference pipelines.
The role is a Sales Development leader managing GTM Strategists to generate pipeline through inbound and outbound motions. Candidates need 3+ years managing SDR/BDR teams, 5+ years in tech, and direct SDR/AE experience.
The role manages the operational backbone of Cartesia's Voice function, supporting voice production, talent sourcing, and customer delivery. Candidates need 3-6 years of operator experience in high-growth tech or strategy consulting, along with customer-facing and semi-technical skills.
The role manages the operational backbone of Cartesia's Voice function, supporting voice production, talent sourcing, and customer delivery. Candidates need 3-6 years of operator experience in high-growth tech or strategy consulting, along with customer-facing and semi-technical skills.
The role involves building performant, scalable data infrastructure to acquire, process, and curate massive datasets for pretraining. Candidates must have hands-on experience with ML data pipelines, dataset versioning, and large-scale data loading.
The role involves designing evaluation frameworks and pipelines to measure interactive machine intelligence, reasoning, and long-term behavior. Candidates must have experience implementing evaluation frameworks for generative models and strong technical skills to build production-ready systems.
The role involves conducting research in neural network architecture design to advance state-of-the-art models like state space models and efficient transformers. Candidates must have deep expertise in architecture design, strong programming skills in PyTorch or TensorFlow, and a proven research track record in top-tier ML/AI venues.
The role involves conducting research in neural network architecture design to advance state-of-the-art models like state space models and efficient Transformers. Candidates must have deep expertise in architecture design, strong programming skills in PyTorch or TensorFlow, and a proven research track record in top-tier ML/AI venues.
The role involves designing new techniques for preference optimization, model evaluation, and feedback-driven learning for multimodal models. Candidates must have deep knowledge of alignment methods, experience designing evaluations, and strong engineering skills for scaling ML systems.
The role involves building the platform behind Cartesia's Managed Agents voice product, focusing on the realtime transport layer and end-to-end conversational latency. Candidates must have experience building distributed backend systems in production and strong product instincts for latency and reliability.
The Strategic Partnerships Manager role focuses on developing high-impact relationships with enterprise technology partners to drive revenue growth and adoption. Candidates must have 5-8+ years of experience in business development or partnerships within a SaaS environment.
The Strategic Partnerships Manager builds and scales the Systems Integrator program to enable implementation partners for enterprise deployments. The role requires 5-8+ years of experience in partner delivery, technical fluency in integrations, and strong commercial judgment for program design.
The Technical Account Manager owns enterprise customer technical relationships from contract through production, driving go-live and usage growth. The role requires 6+ years of technical account management experience, strong technical troubleshooting skills, and the ability to manage a complex multi-stakeholder book.
The Accounting Manager role manages general ledger operations and financial reporting in compliance with U.S. GAAP. The position requires a bachelor's degree in accounting or finance and at least five years of progressive accounting experience.
The AI and Automation Engineer designs, builds, and operates secure AI solutions and enterprise automations for Finance, Accounting, and Supply Chain processes. The role requires 8+ years of experience in software engineering, Python, TypeScript, and production AI systems, with a focus on Scrum delivery and SOX compliance.
The role involves translating cluster architectures into deployment-ready infrastructure designs, including rack layouts, bills of materials, and cable mappings. Candidates must have experience in data center design and automation using languages like Python or Bash.
The role involves owning model quality and performance for Cerebras' inference offerings by designing AI-driven evaluation suites and automating release qualification. Candidates must have experience building AI agents and a strong math/stats background to create scalable measurement systems.
The role involves building and operating software to manage large AI clusters, focusing on fleet health, capacity, and incident response. Candidates must have 12+ years of experience in distributed systems and strong Go skills.
The role involves designing and building Python frameworks for Cerebras's core engineering infrastructure, including orchestration, scheduling, and distributed execution systems. Candidates must have strong software engineering fundamentals, proficiency in Python, and experience with concurrency and distributed systems concepts.
The role is a Senior SDET in Release Integration Testing for AI Inference Core, focusing on developing test automation and validating complex AI inference systems. Candidates must have strong software engineering fundamentals, proficiency in Python or Go, and experience with automated testing frameworks and CI/CD pipelines.
The role involves building and operating CI/CD systems, Kubernetes platforms, and deployment automation for Cerebras engineering infrastructure. Candidates must have 5+ years of experience in platform or DevOps engineering with strong systems fundamentals and Python proficiency.
The role involves integrating and validating high-complexity software components across AI frameworks, compilers, and hardware for Cerebras's inference stack. Candidates must demonstrate strong software engineering fundamentals and experience with complex systems, distributed software, or hardware co-design.
This role leads Release Integration Testing for AI Inference Core, defining quality strategy and managing release readiness across the software stack. Candidates must have strong software engineering fundamentals, technical leadership in test infrastructure, and experience with distributed systems or AI software.
The Application Security Engineer role focuses on owning and evolving Cerebras's vulnerability management program across applications, infrastructure, and AI platforms. Candidates must have strong application security fundamentals, hands-on vulnerability management experience, and the ability to automate security workflows using languages like Python or Go.
The Applied AI/ML Scientist role involves developing and customizing large language models to solve customer problems using Cerebras hardware. Candidates must have experience in large model training, post-training, and data curation, along with strong communication skills.
The role involves applying machine learning techniques to build scalable, high-performance systems for LLM training and deployment. Candidates must have strong Python skills, experience with PyTorch, and a solid understanding of ML fundamentals and transformers.
The role involves designing and operating secure cloud infrastructure and identity platforms in AWS and data centers. Candidates must have 5+ years of experience in cloud infrastructure, IAM, or security engineering, with strong skills in Python, Go, and Terraform.
The role involves designing and operating AWS infrastructure for Cerebras' products, focusing on reliability and scalability. Candidates must have 8+ years of experience in cloud infrastructure, SRE, or DevOps, with deep AWS and Terraform expertise.
The Cloud Quality Engineer owns end-to-end quality for weekly cloud releases and builds scalable test infrastructure for Cerebras Inference Cloud. The role requires 5+ years of experience in quality engineering, deep cloud platform knowledge, and strong systems debugging skills.
The Cluster Datacenter Manager leads compute infrastructure operations and operational reliability across multiple data center sites. The role requires 10+ years of experience in data center operations, including 5+ years leading technical teams, with strong technical judgment in server systems, networking, and secure asset handling.
The role involves managing and operating large-scale AI compute clusters to ensure infrastructure health and performance. Candidates must have 6-8 years of experience with Linux, Docker, Kubernetes, and distributed systems.
This role involves working at the interface of software and hardware for Cerebras' CoDesign and NextGen organization, focusing on kernel design, ASIC performance modeling, and system bringup. Candidates must have a degree in Computer Engineering, Electrical Engineering, or Computer Science, along with strong computer architecture knowledge and experience with C++ and Python.
This role involves characterizing and optimizing the performance of AI models on Cerebras hardware to improve computational efficiency. Candidates must have a strong background in computer architecture and at least three years of experience in relevant domains such as CPU/GPU performance or kernel optimization.
The Compute Server Platform Architect owns the server-side architecture for Cerebras CS3-based AI clusters to ensure predictable performance, scalability, and reliability. The role requires translating workload behavior into hardware requirements and leading vendor evaluations for CPU, memory, and networking components.
The Deployment Network Manager leads end-to-end execution of AI cluster deployments in large-scale data centers, managing rack integration and high-density cabling. The role requires 10+ years of experience in data center infrastructure and the ability to direct technicians on-site.
The Design Verification Engineer role involves developing verification strategies, testbenches, and coverage plans for Cerebras's AI chip architecture. Candidates must have 3-5+ years of Design Verification experience and strong skills in SystemVerilog, UVM, and debugging.
The role involves developing and maintaining infrastructure for the Cerebras software stack, focusing on automating processes in cloud and datacenter environments. Candidates must be enrolled in a university program and proficient in Python, shell scripting, and CI/CD platforms.
The role involves producing original research and technical writing on AI hardware and software, including building demos and running benchmarks. Candidates must have deep expertise in AI systems and a strong portfolio of published technical content.
The Director of Intellectual Property Counsel leads Cerebras' global IP strategy, managing patent, trademark, and trade secret assets for AI hardware and software. The role requires a J.D., USPTO registration, and 10+ years of patent prosecution experience with a technical background in AI infrastructure or related fields.
This role leads corporate FP&A for a newly public AI chip company, overseeing long-range planning, forecasting, and executive reporting. Candidates need 15+ years of experience in corporate FP&A or strategic finance, with strong financial modeling and public-company reporting skills.
This role leads the Inference Model Scaling team to enable foundation models on Cerebras hardware. Candidates must have 12+ years in compiler or ML systems and 5+ years leading engineering teams.
The role involves building and operating production distributed systems for Cerebras's cluster engineering team, focusing on Kubernetes operators and automation for bare-metal infrastructure. Candidates must have 5+ years of experience with Go, Python, and deep Kubernetes expertise, including CRDs and reconciliation semantics.
This role involves leading the Kernel Reliability team to improve the reliability of advanced compute clusters and production services. Candidates must have 6+ years of software engineering experience and 3+ years leading teams in reliability, debug, or failure analysis.
The ERP Engineer designs, builds, and operates scalable ERP solutions for Cerebras, translating complex Finance and Supply Chain requirements into reliable system capabilities. The role requires 8+ years of ERP experience and 5+ years of hands-on NetSuite expertise, including SuiteScript and API integration.
The FPGA Engineer role involves owning the in-chassis IO subsystem, including RoCE v2 network interfaces and a programmable switching fabric, for Cerebras' AI hardware. Candidates must have 5+ years of industry experience generating production FPGA solutions or a Master's/PhD with 3 years of experience, along with proficiency in Verilog and FPGA tools.
The role involves bringing up state-of-the-art models on Cerebras CSX systems within the Inference Core team. Candidates must be system-minded generalists with strong debugging skills and experience across the full AI software stack.
The role involves taking ML models from reference implementations to efficient execution on AI accelerator hardware, including model bring-up and MLIR-based lowering. Candidates must have strong C++ and Python skills, PyTorch experience, and practical MLIR knowledge.
The Hardware Research Analyst role involves producing original research and technical writing on AI hardware and software trends. Candidates must build demos, run benchmarks, and synthesize evidence to explain complex technical developments to developers and the industry.
The Head of DevRel role involves defining the developer relations vision, roadmap, and technical quality bar for Cerebras. Candidates must lead a team, build technical demos, and manage developer programs to drive platform adoption.
The Head of SOX & Internal Audit will establish and lead the company's SOX compliance program and eventually build the Internal Audit function. The role requires 10+ years of experience in Internal Audit or SOX compliance, with 5+ years in leadership, and deep knowledge of SOX, COSO, and ICFR.
The role involves maintaining, provisioning, and troubleshooting on-premise server and networking infrastructure, including physical hardware installation and Linux system configuration. Candidates must have 3-5+ years of experience in data center or infrastructure engineering with proficiency in Linux administration and network configuration.
The role involves deploying, automating, and maintaining Linux-based compute and data storage infrastructure. Candidates must have strong Linux fundamentals, Python, Ansible, shell scripting, virtualization, and storage experience.
The IT SRE Team Lead is responsible for building and running the reliability function for Cerebras' internal technology estate, including identity, endpoint management, and SaaS. The role requires a software engineering mindset to treat infrastructure as code with measurable SLOs and automated remediation.
The Kernel Engineer role involves developing and optimizing high-performance software for Cerebras's custom AI hardware. Candidates must be skilled in C++ and Python, with a strong understanding of hardware architecture and debugging.
The role involves developing and optimizing high-performance machine learning and linear algebra kernels for the Cerebras Wafer-Scale Engine. Candidates must have strong C++ programming skills, an understanding of computer architecture, and experience with parallel programming or low-level software development.
The role involves leading RTL design and integration for Cerebras's Wafer Scale Engine, managing external ASIC vendors, and collaborating with verification and physical design teams. Candidates require a Master's degree, 8-15 years of experience in high-performance RTL design, and expertise in networking and high-speed IO.
The role is a Lead Systems Signal Integrity/Power Integrity Engineer responsible for solving complex SI/PI challenges in next-generation AI compute systems. The position requires a Master's degree in Electrical Engineering and 15+ years of expertise in high-speed hardware systems.
The role involves developing and optimizing high-performance software for Cerebras's custom AI chip architecture. Candidates must have strong C++ and Python skills, experience with low-level systems programming, and a proven track record leading technical teams.
The Managing Counsel, Data Center & Infrastructure role leads legal strategy for data center acquisitions and digital infrastructure transactions. Candidates must have 10+ years of legal experience in data center or hyperscaler real estate and physical infrastructure transactions.
The Manufacturing Automation Engineer designs, implements, and optimizes automated manufacturing assembly and test systems to improve production efficiency and quality. The role requires a Bachelor's degree in a related technical field and 9+ years of experience in manufacturing automation or industrial controls.
The role involves designing and maintaining robust IT and network infrastructure across manufacturing facilities. Candidates must have deep expertise in Linux systems administration, network security, and infrastructure automation.
The Core ML team seeks an engineer to map algorithms to Cerebras architecture and characterize efficiency frontiers. The role requires analytical performance modeling, empirical benchmarking, and hands-on prototyping to optimize model quality, latency, and throughput.
The role involves inventing and evaluating advanced algorithms for efficient inference on Cerebras hardware, focusing on speculative decoding, pruning, and sparse attention. Candidates must have a PhD or master's degree with significant research experience and strong Python skills.
The Core ML team seeks an engineer to bridge research ideas and efficient execution on Cerebras systems. The role involves implementing high-performance kernels and runtime components for LLM training and inference.
The role involves leading the design and implementation of system-level debugging, validation, and observability platforms for Cerebras's AI chip. Candidates must have strong proficiency in C++ and Python, with experience debugging complex hardware/software systems and building high-performance tooling.
The role involves building performance models and optimizing kernel microcode to improve ML inference speed on Cerebras hardware. Candidates require a degree in Electrical Engineering or Computer Science, strong computer architecture knowledge, and 3+ years of relevant experience.
The role involves building performance models and optimizing kernel microcode to improve ML model inference speed and throughput on the Cerebras Wafer Scale Engine. Candidates require a degree in Electrical Engineering or Computer Science, strong computer architecture knowledge, and 3+ years of experience in performance optimization or HPC.
The role involves building and securing network infrastructure for data centers, cloud environments, and AI systems. Candidates must have 7+ years of experience in network security and hands-on skills with firewalls, segmentation, and AWS networking.
The role involves building and securing network infrastructure for data centers, cloud environments, and AI systems. Candidates must have 7+ years of experience in network security and proficiency with firewalls, segmentation, and automation tools.
The Network Systems Architect defines scale-up and scale-out network architectures for Cerebras platforms, including proprietary accelerator interconnects and switching. The role requires translating workload communication patterns into measurable fabric requirements and making technical decisions grounded in low-level implementation experience.
The Physical Design Engineer role involves driving PPA strategy and owning physical design from RTL to tapeout for Cerebras's AI chip. Candidates require 7+ years of experience in physical design, verification, and tools like Calibre or ICC2.
The role is a hands-on individual-contributor position responsible for establishing and governing physical security standards across contract manufacturing locations. It requires five or more years of experience in manufacturing or industrial physical security, with a focus on intellectual property protection and cleanroom operations.
The role involves developing and optimizing automated manufacturing test solutions for advanced AI hardware, including test fixtures and production processes. Candidates require a technical degree and 5+ years of experience in manufacturing test development, hardware validation, or production engineering.
The Principal AI Security Engineer leads hands-on security engineering for enterprise IT, infrastructure, and AI platforms. The role requires 10+ years of experience in security engineering and strong hands-on ability in Python and at least one additional production language.
The Principal ML Investigator will lead a new ML team to develop research and advanced development capabilities aligned with Cerebras hardware. The role requires a PhD in Computer Science, strong ML theory, and experience engineering ML systems for scale or production deployment.
The Principal Network Security Architect leads the design and evolution of Cerebras's enterprise, data center, and cloud networks. The role requires 10+ years of experience in network engineering, deep expertise in routing and switching, and proficiency in network automation and cloud networking.
The Regional Data Center Manager leads operations, deployment execution, and infrastructure performance for Cerebras's Finland-based and broader European AI deployments. The role requires bilingual fluency in Finnish and English, 5-10+ years of practical data center experience, and strong knowledge of MEP systems to manage high-density AI clusters.
The Regional Data Center Manager leads infrastructure operations and deployment execution across Western Canada sites. The role requires 5-10+ years of data center experience, knowledge of MEP systems, and the ability to manage local teams while executing HQ-driven requirements.
The Release Qualification Team Lead owns end-to-end release qualification for Cerebras Cloud, Inference Platform, and Inference API. The role requires 7+ years of experience in software integration or quality engineering, with proven leadership in building release processes and mentoring engineers.
The SEC Reporting & Technical Accounting Manager supports SEC filings and technical accounting at Cerebras Systems. The role requires strong US GAAP skills, 5+ years of experience, and proficiency in tools like Workiva and NetSuite.
The role involves securing and scaling enterprise IT, cloud, network, and infrastructure environments for Cerebras. Candidates must demonstrate an automation-first mindset and experience in security, reliability, and operational excellence.
The role involves driving chip design, micro-architecture, and RTL development for Cerebras Wafer Scale Engine systems. Candidates must have a Master's degree and 8+ years of experience in high-performance RTL design and integration.
The role involves building and scaling backend services for Cerebras Inference Cloud, including APIs, data pipelines, and systems for billing and account management. Candidates must have strong backend engineering fundamentals, experience with distributed systems, and a track record of owning complex production systems.
The Senior Counsel, Data Center & Infrastructure role supports the Global Data Centers team with acquisitions, development projects, and infrastructure transactions. Candidates must have 6+ years of legal experience in data center or infrastructure transactions and fluency in technical infrastructure terms.
The role manages end-to-end delivery of white-space fit-out projects in colocation environments for Cerebras data centers. Candidates need 5-7 years of mission-critical construction experience and strong project controls skills.
The role involves leading the design and optimization of security detections, playbooks, and workflows to identify and respond to incidents. Candidates must have 5+ years of experience in detection engineering or incident response, with strong proficiency in Python and SQL.
The role involves leading testing strategy and execution for AI/ML models and Cerebras inference solutions. Candidates must have 5+ years of experience in software integration or quality engineering and expertise in automation using Python, C++, or Go.
The Senior Manager - Cluster Security role leads security engineering for Cerebras's large-scale AI clusters, ensuring end-to-end security and privacy across hardware, networking, and software. Candidates must have 3+ years of engineering leadership in distributed systems security and strong experience with multi-tenancy and cluster networks.
The Senior Manager, Production & Fleet Operations role leads day-to-day operational management of Cerebras-managed production infrastructure. The position requires 8+ years of infrastructure operations experience and 3+ years leading technical operations teams to establish scalable fleet health and restoration processes.
The Senior Manager, Service Operations & Enablement role owns operational readiness and on-premises O&M models for Cerebras infrastructure deployments. The position requires 8+ years in infrastructure operations and 3+ years leading teams to establish training, certification, and operational knowledge management frameworks.
The Senior Operations Accountant supports monthly close and financial reporting for inventory, manufacturing costs, and global leases. The role requires a bachelor's degree, four or more years of accounting experience, and strong knowledge of U.S. GAAP, ASC 330, and ASC 842.
The Senior Product Manager for AI Models leads the strategic model portfolio, deciding which frontier and open-source models ship and how they perform. The role requires 5+ years of product management experience, 5+ years of technical work experience, and expertise in the open-source model ecosystem including PyTorch and Hugging Face.
The role involves driving test strategy for Cerebras Wafer Scale Engine in Taiwan, focusing on ATE test development and yield enhancement. Candidates require 10+ years of semiconductor testing experience and expertise with the Advantest V93000 platform.
The Senior Runtime Engineer designs and develops high-performance distributed software to orchestrate massive compute and data pipelines for AI training and inference. The role requires 3+ years of experience in high-performance or distributed systems, with strong C/C++ programming skills and expertise in multi-threading and performance optimization.
The role involves owning quality and reliability for the Cerebras Inference Platform, including CI/CD pipelines and Kubernetes deployments. Candidates must have 3+ years of experience in software or infrastructure engineering with strong Python or Go skills.
The role involves designing and automating tests for large-scale AI cluster infrastructure to ensure high reliability. Candidates must have strong coding skills and experience with distributed systems, hardware, and software testing.
The role involves designing and automating tests for large-scale AI cluster infrastructure, focusing on reliability, security, and performance. Candidates must have 10+ years of experience in distributed systems testing and strong coding skills in Python, Golang, or C/C++.
The role is a Senior Software Engineer position on the Inference Cloud team, responsible for building and operating cloud services and Kubernetes infrastructure. Candidates must have 5+ years of experience, strong Kubernetes expertise, and proficiency in Go or another backend language.
The role involves building and evolving the ML API layer for Cerebras's disaggregated AI inference systems, ensuring reliable access across heterogeneous backends. Candidates must have 5+ years of software engineering experience, strong Python skills, and proficiency in production service languages like Go, C++, or Rust.
The Senior Staff AI Accelerator Performance Architect role involves guiding the evolution of next-generation AI systems by connecting real workloads to architectural behavior and identifying bottlenecks. Candidates must possess deep knowledge of hardware architecture and 7+ years of experience in performance analysis or modeling for high-performance computing systems.
The role involves developing verification strategies, testbenches, and coverage plans for Cerebras's AI chip architecture. Candidates must have 15+ years of Design Verification experience and strong skills in SystemVerilog, UVM, and debugging.
The role involves building security controls for on-prem and cloud clusters, driving hardening across bare metal, virtualized, and k8s levels. Candidates need 8-10 years of experience in heterogeneous compute, kubernetes hardening, and networked system security.
The role involves managing and supporting NetSuite and adjacent enterprise platforms for Finance and Supply Chain operations. Candidates require 6+ years of ERP experience and 4+ years of NetSuite administration.
The role involves developing software for the Host and Network IO path in Cerebras' AI chip architecture, focusing on optimizing bandwidth and latency. Candidates must have strong skills in socket programming and RDMA Verbs, along with experience in large software environments and hardware interaction.
This role involves collaborating with engineers to design and implement low-level software for AI infrastructure, focusing on performance and reliability. Candidates must be recent graduates with proficiency in C/C++ and an interest in systems programming or hardware interaction.
The role involves developing and maintaining CI/CD pipelines, managing artifact lifecycle systems, and provisioning cloud infrastructure to support build workloads. Candidates require 4-8 years of experience in DevOps or software engineering, with proficiency in CI/CD, cloud platforms, and containerization.
The role involves building automation for large-scale AI cluster deployments, including provisioning, configuration, and validation. Candidates need 2+ years of data center deployment experience and strong Python and Bash skills.
The role involves productionizing and optimizing a GPU inference stack for Cerebras's disaggregated AI systems, focusing on reliability and performance. Candidates must have 5+ years of experience in C++ and Python, with expertise in production inference systems and GPU performance optimization.
The role involves designing and maintaining production software for Cerebras's Inference Platform, focusing on orchestration, Kubernetes, and high-performance systems. Candidates must have 3+ years of experience in distributed systems and proficiency in Go or C++.
The role involves improving the reliability of Cerebras's advanced compute clusters and inference services by working close to the code. Candidates must have strong programming skills in C/C++ and Python, along with solid foundations in operating systems and systems programming.
The role involves assessing and hardening the source-to-artifact pipeline, including SLSA processes and CI/CD artifacts. Candidates need 8-10 years of experience in software supply chain security, SDLC topics, and hands-on DevOps engineering.
The Sr. Datacenter Provisioning Engineer provisions and validates network infrastructure and servers across large-scale data center deployments. The role requires at least five years of experience in network provisioning, SRE, or related fields, along with proficiency in Python, Linux, and cloud platforms.
The role involves designing and developing software for system resiliency and high availability in distributed AI inference environments. Candidates must have a Master's degree and 18 months of experience in software engineering or related roles, with expertise in cloud infrastructure and containerization.
The role involves leading and contributing to projects on the Inference Platform team, which owns the orchestration layer for datacenter clusters. Candidates must have 8+ years of experience in software engineering and deep expertise in distributed systems architecture, ideally with Kubernetes.
The role involves post-silicon validation, testing, and debugging of Cerebras Wafer Scale Engines. Candidates must have a Master's degree and three years of experience in hardware or related engineering.
The Staff Business Systems Analyst role connects business strategy, process design, and enterprise systems across BIS-supported functions. Candidates must have senior experience in business analysis, ERP platforms, and public-company compliance to lead process mapping and requirements definition.
The role involves designing and implementing secure, scalable cloud infrastructure and identity platforms in AWS and data centers. Candidates must have 7+ years of experience in cloud infrastructure, IAM, or security engineering, with strong skills in Python, Go, and Terraform.
The role involves developing verification strategies, testbenches, and coverage plans for Cerebras's AI chip architecture. Candidates must have 10+ years of Design Verification experience and strong skills in SystemVerilog, UVM, and debugging.
The role is a Staff GPU Inference SDET responsible for leading quality and validation for a new GPU Inference Development team. Candidates must have 8+ years of experience in SDET or systems testing, with expertise in GPU cluster infrastructure and LLM serving engines.
The role involves developing and optimizing high-performance software for Cerebras's custom AI chip architecture. Candidates must design machine learning kernels in C++ and Python, leveraging parallel programming and low-level assembly for HPC workloads.
The role involves designing and maintaining CI/CD pipelines, artifact lifecycle systems, and cloud infrastructure for build and test workflows. Candidates must have 7+ years of experience in software engineering or DevOps, with strong skills in infrastructure automation and troubleshooting.
The role involves productionizing and optimizing a GPU inference stack for Cerebras's disaggregated AI systems, focusing on reliability and performance. Candidates must have 8+ years of experience, strong C++ and Python skills, and expertise in high-performance model-serving frameworks and GPU execution.
The role involves building and maintaining production ML inference APIs for a disaggregated AI system that combines GPU prefill with Cerebras decode. Candidates must have 5+ years of software engineering experience and strong skills in Python, Go, and systems languages like C++ or Rust.
The role involves owning the long-term architecture and roadmap for Cerebras's observability platform, including metrics, logs, traces, and events. Candidates must have 8+ years of software engineering experience and 4+ years building observability platforms at significant scale.
This role involves owning the end-to-end program schedule for hardware and software integration of Cerebras' wafer-scale supercomputers. Candidates must have 8+ years of technical program management experience with a focus on hardware design and cross-functional engineering collaboration.
The Supplier Quality Engineer role supports supplier quality for components and system-level products used in Cerebras systems. Candidates must be a 2026 new graduate with a bachelor's degree in a related technical field and foundational knowledge of quality engineering and manufacturing.
The Systems Debug Engineer role involves diagnosing complex multi-domain hardware failures at the system, board, and component levels. Candidates must have 3-5+ years of experience in hardware bring-up or failure analysis and strong analytical skills.
The role supports the Head of Data Center Acquisition by sourcing and managing a pipeline of data center capacity opportunities. Candidates must have 1-4 years of experience in acquisitions or sourcing, with strong outreach and analytical skills.
This role provides technical leadership for server and network platform programs, including new product introductions, across Cerebras AI clusters. Candidates must have 8+ years of experience in technical leadership or systems engineering for infrastructure platforms and strong knowledge of server architecture and networking.
The Account Executive role focuses on building Databricks' India business by prospecting new customers and growing existing accounts. Candidates must have 5+ years of sales experience in SaaS or Big Data, a Bachelor's degree, and experience exceeding sales quotas.
The Account Executive role in Singapore focuses on SaaS sales within the Big Data and Cloud sectors. Candidates must have a Bachelor's degree, 5+ years of SaaS experience, and a track record of exceeding sales targets.
This role involves owning an emerging territory in Japan to sell Databricks to growth-stage organizations. Candidates must have 3+ years of SaaS or AI sales experience and fluency in Japanese and business-level English.
The Accounting Data & Technology Manager serves as the S/4HANA expert for Databricks' Global Accounting team, leading the redesign of accounting processes and automation. The role requires 8+ years of experience in accounting systems and deep hands-on SAP S/4HANA FICO configuration expertise.
The Accounting Manager, Accounts Receivable role involves owning end-to-end technical AR accounting, global subledger consolidations, and the month-end close process. Candidates require 6+ years of AR and GL experience, strong U.S. GAAP judgment, and proficiency in ERP systems like SAP or NetSuite.
The AI Automation Engineer role involves building production-grade AI agents and automation services to improve employee IT experiences at Databricks. Candidates must have proficiency in Python or Go, experience with Git, CI/CD, and REST APIs, and a track record of shipping LLM-powered applications.
The AI Forward Deployed Engineer role involves developing and productionizing GenAI solutions for customer engagements at Databricks. Candidates must have 7+ years of experience in GenAI applications, production deployments, and data science, with fluency in Korean and English.
The AI Engineer role involves developing and deploying production GenAI and LLM applications for customer engagements. Candidates must have extensive industry experience with tools like HuggingFace and LangChain, along with a graduate degree in a quantitative discipline.
The AI Forward Deployed Engineer role involves developing and deploying production-grade GenAI applications for U.S. public sector clients. Candidates must have extensive hands-on data science experience, a graduate degree in a quantitative field, and expertise in tools like HuggingFace and LangChain.
The role is a Director, AI Sales (IC) at Databricks responsible for growing the enterprise AI business and shaping go-to-market strategy. Candidates must have enterprise sales or consulting experience in AI platforms and a track record of delivering growth against measurable goals.
This role leads Databricks' AI transformation strategy for high-priority customers, positioning the company as a strategic partner to the C-suite. It requires at least 15 years of experience in digital or AI transformation and 5 years working directly with enterprise executives.
The Alliance Leader owns McKinsey's partner management function, focusing on strategic planning, sponsor development, and business development. The role requires 10+ years of management consulting experience and the ability to work with senior executives to expand Databricks mindshare.
The Analyst Relations Manager leads priority analyst evaluations and creates differentiated narratives for Databricks across AI and data management. The role requires 4-7 years of experience in analyst relations or product marketing, strong technical writing, and the ability to scale workflows using AI tools.
This role leads Databricks' manufacturing and automotive go-to-market strategy across Asia Pacific and Japan. Candidates need 10+ years of manufacturing leadership experience, including 5 years in GTM or strategy within enterprise technology.
The Applied AI Engineer role involves building agentic machine learning systems and deploying classical ML solutions using Databricks' agents. Candidates need strong software engineering skills and experience developing AI/ML systems at scale in production environments.
This role is an Associate Product Manager position for the 2027 cohort at Databricks, focusing on understanding customer problems and prototyping solutions. Candidates must be graduating in Fall 2026 or Spring 2027 with a degree in computer science or a related engineering field.
This role focuses on building relationships with venture capital and private equity firms to create measurable value for their portfolio companies and Databricks. Candidates must have at least five years of sales experience in SaaS or big data companies and a strong network across VC and PE firms.
This role involves partnering with the sales team to develop territory strategy, build pipeline, and drive adoption of Databricks solutions. Candidates must have a bachelor's degree and at least two years of sales or business development experience.
The Business Development Representative role involves representing Databricks to prospective customers by building pipeline and developing territory strategy. Candidates must have a bachelor's degree and at least two years of sales or business development experience.
The role involves representing Databricks to prospective customers in the Middle East and African market from a hybrid Paris office. Candidates must be fluent in Arabic and English with C1 proficiency and demonstrate strong communication skills.
The role involves representing Databricks to prospective customers in the DACH region and developing sales skills in value-based selling, big data, and AI. Candidates must conduct account research, manage inbound and outbound communications, and progress conversations into sales opportunities.
The role is a Business Development Representative for Databricks in the UK and Ireland, focused on prospecting and generating sales opportunities. Candidates should have relevant professional experience, a genuine interest in big data and AI, and demonstrate determination to succeed.
This role manages physical logistics and in-person candidate experiences at Databricks' Mountain View or San Francisco offices. The primary responsibilities include coordinating interviews, troubleshooting on-site issues, and serving as the main point of contact for visiting candidates.
This role manages physical logistics and in-person candidate experiences at Databricks offices in Seattle and Bellevue. The primary responsibilities include coordinating interviews, troubleshooting on-site issues, and serving as the main point of contact for visiting candidates.
This role supports the CMO by managing critical business operations, strategic planning, and cross-functional initiatives for a 250-person marketing team. Candidates need 10+ years of marketing experience, proficiency in analytics and AI, and strong leadership skills.
This role is an Enterprise Account Executive in the Public Sector department responsible for closing net new accounts and driving platform adoption for government partners in Victoria. Candidates must have proven enterprise or public sector sales experience, strong communication skills, and a passion for using technology for the public good.
This role is an Enterprise Account Executive in Databricks' Enterprise Sales department, focused on selling to enterprise accounts in Vietnam. Candidates must have 7+ years of enterprise sales experience, proficiency in Vietnamese, and experience selling big data, cloud, and SaaS solutions.
This Credit and Collections Manager role drives credit strategy, AR performance, and complex escalations within Databricks' high-growth Data/AI business. The position requires 12+ years of progressive experience in credit and collections, with strong analytical skills and a Bachelor's degree in Finance or Accounting.
The Customer Enablement Architect owns the commercial success of Databricks' training portfolio across the Americas Business Units. The role requires quota-carrying experience, enterprise learning strategy, and the ability to influence executive stakeholders to drive customer adoption and revenue growth.
The Customer Enablement Architect designs and leads talent-transformation programs across Australia and New Zealand to upskill data and AI professionals. The role requires 5+ years of experience in customer enablement or training, a hands-on builder mindset, and strong technical understanding of Databricks curricula.
The Customer Marketing Manager role in San Francisco develops customer stories and advocacy programs for Databricks' strategic accounts in the Americas. Candidates must have 4-7 years of experience in customer marketing or advocacy, with strong program management and AI workflow skills.
The CustomerLake Sales Specialist role involves building pipeline and driving revenue for Databricks' CustomerLake product alongside regional Account Executives. Candidates must have 7+ years of enterprise SaaS sales experience and proven marketing technology sales experience, particularly with CMOs and CRM leaders.
This role involves joining the Data team to turn business and operations data into insights for product design and customer acquisition. Candidates must have a Master's or PhD in a quantitative field and experience with SQL, Python, and statistical data analysis methods.
This role owns end-to-end workforce transformation engagements for Databricks' largest enterprise customers, managing 2 to 3 concurrent projects. Candidates must have 8+ years leading organizational transformation in technology adoption and experience with C-suite sponsors.
The Delivery Solutions Architect role involves leading post-sale technical strategy and execution for Databricks customers, focusing on platform adoption and maximizing return on investment. Candidates must have 5+ years of experience in Data and AI project delivery, along with programming skills in Python, SQL, or Scala.
The Delivery Solutions Architect role involves leading post-sale technical strategy and execution for Databricks customers, focusing on driving platform adoption and maximizing return on investment. Candidates must have 5+ years of experience in data and AI project delivery, along with programming skills in Python or Spark.
The Delivery Solutions Architect role involves leading post-sale technical strategy and execution for Databricks customers, focusing on driving platform adoption and maximizing return on investment. Candidates must have 5+ years of experience in data and AI project delivery, with programming skills in Python, Spark, and Databricks.
The Delivery Solutions Architect role involves leading post-sale technical strategy and execution for Databricks customers, focusing on platform adoption and ROI. Candidates must have 5+ years of experience in data and AI project delivery, along with programming skills in Python, SQL, or Scala.
The Delivery Solutions Architect role involves leading post-sale technical strategy and execution for complex Databricks customers. Candidates must have 5+ years of experience in Data and AI project delivery, along with programming skills in Python, SQL, or Scala.
The Delivery Solutions Architect role involves partnering with sales and engineering teams to design and implement scalable Databricks data and AI solutions for customers. Candidates must have five or more years of experience in solutions architecture or related technical roles, along with strong proficiency in Python or SQL.
The Delivery Solutions Architect serves as a trusted technical advisor to key customers, designing and scaling data and AI solutions on the Databricks platform. The role requires 5+ years of experience in data or AI project delivery, along with strong architectural skills in PySpark, Python, and distributed data systems.
The Delivery Solutions Architect partners with Sales and Field Engineering to design and scale Databricks data and AI solutions for customers. The role requires 5+ years of technical experience, strong coding proficiency, and the ability to lead architecture discussions.
The Delivery Solutions Architect role involves leading technical and commercial strategies for key Databricks accounts to drive platform adoption and consumption. Candidates must have 8+ years of experience in customer-facing technical roles and proficiency in Korean and English.
This role involves leading post-sale technical account strategy and execution for Databricks customers, focusing on driving platform adoption and maximizing return on investment. Candidates must have 5+ years of experience in data and AI project delivery, along with programming skills in Python, SQL, or Scala.
The Delivery Solutions Architect role involves leading post-sale technical strategy and execution for Databricks customers, focusing on platform adoption and ROI. Candidates must have 5+ years of experience in data and AI project delivery, along with programming skills in Python, SQL, or Scala.
The Delivery Solutions Architect partners with sales and engineering teams to design and implement scalable Databricks data and AI solutions for Digital Native customers. The role requires strong technical expertise in distributed systems, coding proficiency, and the ability to guide architectural decisions across complex use cases.
The Delivery Solutions Architect partners with sales and engineering teams to design and implement scalable Databricks data and AI solutions for customers. The role requires strong technical expertise in distributed systems, coding proficiency, and the ability to guide architectural decisions across complex use cases.
The Delivery Solutions Architect role involves leading post-sale technical strategy and execution for complex Databricks customers. Candidates must have 7+ years of experience in data and AI project delivery, along with programming skills in Python, SQL, or Scala.
This role involves leading post-sale technical strategy and execution for Databricks customers in healthcare and life sciences. Candidates must have 5+ years of experience in data and AI project delivery, along with programming skills in Python, SQL, or Scala.
The Delivery Solutions Architect role involves leading post-sale technical strategy and execution for complex Databricks customers. Candidates must have 5+ years of experience in data and AI project delivery, along with programming skills in Python, SQL, or Scala.
The Delivery Solutions Architect role involves leading post-sale technical strategy and execution for Databricks customers, focusing on platform adoption and maximizing return on investment. Candidates must have 5+ years of experience in data and AI project delivery, along with programming skills in Python, SQL, or Scala.
The Delivery Solutions Architect role involves leading post-sale technical account strategy and execution for Databricks customers. Candidates must have 7+ years of experience in data and AI project delivery, along with programming skills in Python, SQL, or Scala.
The Delivery Solutions Architect role involves leading post-sale technical account strategy and execution for Databricks customers in the defense sector. Candidates must have 7+ years of experience in data and AI project delivery, along with programming skills in Python, SQL, or Scala.
The Delivery Solutions Architect role involves leading post-sale technical strategy and execution for Databricks customers in the public sector. Candidates must have 7+ years of experience in data and AI project delivery, along with Python, SQL, or Scala programming skills.
This role involves leading post-sale technical strategy and execution for Databricks in public sector accounts, requiring accountability for complex data and AI workloads. Candidates must have 7+ years of experience in technical delivery, customer-facing roles, and distributed data systems, with proficiency in Python, SQL, or Scala.
This role involves leading post-sale technical account strategy and execution for Databricks customers, focusing on driving platform adoption and maximizing ROI. Candidates must have 7+ years of experience in data and AI project delivery, along with programming skills in Python, SQL, or Scala.
This role involves leading post-sale technical strategy and execution for Databricks in the SLED sector, requiring accountability for complex customer use cases. Candidates must have 7+ years of experience in data and AI project delivery, along with programming skills in Python, SQL, or Scala.
The Delivery Solutions Architect role involves leading post-sale technical strategy and execution for startup and emerging enterprise customers on the Databricks platform. Candidates must have 5+ years of experience in data and AI project delivery, along with programming skills in Python, SQL, or Scala.
The Deployment Strategist acts as a product manager for customer problems, scoping high-value AI opportunities and defining the Minimum Viable Product. The role requires C-suite communication skills, product thinking, and experience managing agile software projects.
The Deployment Strategist acts as a product manager for customer problems, bridging business needs and technical solutions from discovery to production launch. The role requires executive presence, product judgment, technical fluency in data and AI architectures, and hands-on coding proficiency.
The Deployment Strategist acts as a product manager for customer problems, bridging business needs and technical solutions from discovery to production launch. The role requires executive presence, product judgment, technical fluency in data and AI architectures, and hands-on coding proficiency.
The Deputy Facility Security Officer partners with the Industrial Security Lead to administer NISPOM, personnel, and contract security programs. The role requires 5+ years of industrial security experience, an active U.S. government clearance, and proficiency with DISS, NISS, and SWFT systems.
This role involves selling Databricks products to digital native accounts in Thailand, requiring 5+ years of relevant sales experience and proficiency in Thai. Candidates must demonstrate success in exceeding quotas, managing complex sales cycles, and collaborating with cross-functional teams to close new business.
The role is a Digital Native Hunter Account Executive in Singapore responsible for selling to startup accounts in the ASEAN market. Candidates must have 3+ years of relevant sales experience, a Bachelor's degree, and proficiency in solution-based selling and Salesforce.
This role involves selling Databricks' data and AI platform to high-growth, venture-backed companies in a focused territory. Candidates must be self-starters who understand consumption sales, prospecting, and complex deal management.
This role is an enterprise sales position for the Nordics focused on closing new accounts and expanding existing ones within the Digital Native segment. Candidates must be experienced in selling to technical buyers, proficient in MEDDPICC, and fluent in English and Swedish.
The Director of Engineering leads critical initiatives to enhance developer productivity and integrate AI tools into workflows. The role requires 15+ years of experience building large-scale distributed systems and managing high-performance teams.
This role leads the data infrastructure organization in Bengaluru, focusing on building reliable systems for petabyte-scale data processing and billing. Candidates must have 14+ years in distributed systems and 6+ years leading infrastructure organizations.
This role serves as a strategic finance partner to Americas Sales leadership, focusing on data-driven investment decisions and business performance. Candidates must have 10+ years of experience in FP&A or corporate finance and strong skills in financial modeling and executive communication.
This role leads a post-sales technical organization to help government customers implement Databricks data and AI initiatives. Candidates must have 7+ years of customer-facing technical delivery experience and 5+ years of people leadership.
The role is an Enterprise Sales Leader responsible for leading the Malaysia and Indonesia business and managing a team of Enterprise Account Executives. Candidates must have at least 10 years of senior executive experience in a leading software company and 5+ years leading a high-growth Data & AI sales team.
The Director of Sales will lead the Enterprise Hunting segment and an existing team of Account Executives. The role requires 3+ years of experience leading high-growth sales teams in Big Data, Cloud, or AI spaces.
The role is an Enterprise Sales Director for Databricks' Public Sector business in Ottawa, responsible for leading a team of account executives and achieving quota. Key requirements include experience as a high-growth enterprise sales leader in the Data, AI, or SaaS industry, specifically within the Public Sector.
This role leads the event technology organization and roadmap for Databricks' global events, focusing on reliability, security, and scalability. Candidates must have 12+ years of experience in event or marketing technology, including 5+ years leading teams and managing complex event ecosystems.
This role leads first-line managers and pre-sales Solutions Architect teams in Toronto to drive expansion across various industries. Candidates require 5+ years of second-line leadership experience, complex account management, and a Bachelor's degree in a relevant field.
The Director of Field Engineering in Tokyo leads first-line managers and pre-sales Solutions Architects to drive expansion in manufacturing and automotive sectors. The role requires second-line leadership experience, deep Japan market knowledge, and the ability to manage complex strategic accounts generating over $5M in ARR.
This Director role leads a multi-team Field Engineering organization, owning strategy, talent, and execution for a significant business area. Candidates must have extensive experience leading technical customer-facing organizations and strong technical credibility in data, AI, and cloud platforms.
This role leads the global training delivery function for Databricks, managing FTE and partner instructor workforces to evolve toward an AI-first delivery model. The position requires data fluency, workforce planning expertise, and experience developing technical instructors across multiple regions.
The role involves building and scaling Databricks' global communications strategy across Europe, Asia, and the Americas. It requires 12+ years of international communications experience, strong people management skills, and the ability to manage PR agencies and regional media relationships.
This role leads a regional team of Lakebase Sales Specialists to drive revenue growth for Databricks' operational data platform. Candidates must have 8+ years in enterprise sales and 3+ years managing high-performing sales teams.
This role leads a regional team of Lakebase Sales Specialists in Munich to drive Databricks Lakebase revenue growth and pipeline development. Candidates must have strong sales leadership experience, deep technical domain expertise, and a proven track record of executing specialized GTM motions.
This role owns global marketing planning and investment strategy while redesigning workflows for an AI and agentic operating model. Candidates need deep experience in B2B marketing strategy and demonstrated success in building agent workflows and driving organizational adoption.
This role leads a specialized team to oversee usage-based revenue compliance, product metering, and financial accounting at Databricks. The position requires 12+ years of experience in revenue accounting, IT audit, and SOX controls, with expertise in ASC 606 and complex partner royalty agreements.
The Director, Paid Media leads Databricks' global media planning function to drive brand awareness, demand generation, and pipeline growth. The role requires 10+ years of B2B SaaS experience, strong team leadership, and expertise in full-funnel marketing measurement and global strategy.
This role leads Databricks' global People M&A function, overseeing end-to-end deal lifecycles from due diligence to post-merger integration. Candidates must have 12+ years of HR experience, including 8+ years leading global M&A deals in high-growth tech environments.
This role leads product marketing for Databricks AI, overseeing strategy for Agent Bricks and core machine learning products. Candidates need 10+ years of technical product marketing experience, team leadership skills, and a strong portfolio of AI-focused marketing content.
This role leads the global technical Revenue Assurance function for EMEA/APAC and serves as the Country Lead for the new Databricks Ireland entity. Candidates must have 15+ years of finance experience, including 5+ years in technical revenue recognition, and hold an active Chartered Accountant qualification.
The Director of Strategic Partnerships structures and negotiates long-term alliances with cloud hyperscalers and Neoclouds to drive Databricks business growth. The role requires 7+ years of business development experience, strong analytical skills, and the ability to lead cross-functional initiatives.
This role leads the Technical Marketing team at Databricks to scale content for technical buyers and drive product adoption. Candidates must have 10+ years of experience in technical marketing or related fields and 3+ years of people management.
The role leads the modernization of the global travel and expense ecosystem to improve employee experience and financial governance. Candidates must have 10+ years of leadership experience in T&E transformation and strong operational skills.
This role leads Databricks' web marketing function globally, focusing on scaling web properties for human and AI audiences. The candidate must have 10+ years of experience in web marketing or development and 5+ years managing a team.
This role involves owning an emerging territory in Japan to sell Databricks' data and AI platform to growth-stage organizations. Candidates must have at least three years of closing experience in SaaS or cloud sales and fluency in Japanese and business-level English.
This role involves owning a book of 10 to 20 mid-sized Canadian companies and running the full sales cycle from discovery to close. Candidates must have 3+ years of full-cycle B2B sales experience and demonstrate comfort with consumption-based models.
This role involves selling Databricks solutions to Emerging Enterprise and Digital Native accounts in the DACH region. Candidates must have strong closing experience in SaaS or Big Data/AI sales and fluency in English and German.
The Engagement Manager drives customer success by managing professional services and training engagements from orchestration to delivery. The role requires strong service delivery, program management, and communication skills in Japanese and English.
This role leads the Connect organization in India, focusing on building data ingestion connectors for Databricks. The candidate must have 10+ years of experience in distributed systems and cloud platforms, with a track record of managing high-performance teams.
This role is an Engineering Manager position in Databricks India's Executive Engineering department, focused on building scalable data and AI infrastructure. Candidates must have 10+ years of experience in large-scale distributed systems and extensive leadership experience managing software engineering teams.
This role leads a team responsible for critical components of Databricks' compute infrastructure platform, which launches tens of millions of VMs daily. Candidates must have 10+ years of experience in large-scale distributed systems and 3+ years of engineering management experience.
This role involves building and operating highly available, scalable platforms for Databricks' Core Experiences in Bengaluru. Candidates must have 5+ years of distributed systems experience and 2+ years managing teams building high-volume SaaS systems.
This role leads the Data Visualization team in Bellevue, managing frontend development for AI/BI dashboards and visualization frameworks. Candidates require 5+ years of frontend experience, 2+ years of management experience, and expertise in React and data visualization technologies.
The Engineering Manager leads a team to build the next-generation low-latency, multi-tenanted, cloud-native data warehousing system for Databricks SQL. Key requirements include 5+ years of experience in database systems, building highly available cloud services, and managing high-performance engineering teams.
This role leads the Identity and Access Management team at Databricks, defining strategy for authentication and authorization services. Candidates must have 9+ years of software engineering experience and 2+ years of engineering leadership experience.
This role leads the Spark Structured Streaming team to develop state-of-the-art stream processing capabilities for Databricks. Candidates must have 5+ years of experience in streaming, query processing, or big-data systems and a track record of leading engineering teams.
This role leads the UI Platform team to enhance the frontend developer experience at Databricks. Candidates must have 5+ years of web frontend experience and 2+ years managing engineering teams.
This role leads the App Traffic team, which builds and operates Databricks' unified service mesh for ingress, service discovery, and traffic management across multiple clouds. The position requires 9+ years of software engineering experience, including 2+ years of engineering leadership, and strong technical judgment for complex distributed systems.
This role leads the engineering team building Profile Agents for Databricks' CustomerLake platform, focusing on identity resolution and agentic pipeline generation. Candidates need 3+ years of engineering management experience and 8+ years building production data or distributed systems.
This role involves owning the end-to-end delivery of the Execution Sandbox Service and managing a team of senior engineers. Candidates must have 5+ years managing distributed systems and deep technical fluency in infrastructure architecture.
This role involves leading complex sales cycles for Databricks in the Energy & Utilities sector in Sydney. Candidates must have a proven track record in sales and experience selling Big Data, Cloud, or SaaS technologies.
The Enterprise Account Executive role in Sydney focuses on expanding Databricks' footprint with existing customers and converting prospects into new accounts. Candidates must have a proven sales track record, strong prospecting skills, and experience selling data platforms or cloud technologies.
This role is an Enterprise Account Executive in Databricks' Enterprise Sales department, responsible for selling to Enterprise accounts in the Greater China region. The position requires 7+ years of enterprise sales experience, field sales background in big data or SaaS, and business proficiency in Mandarin.
This role is an Enterprise Account Executive in Databricks' Enterprise Sales department, responsible for selling to Enterprise accounts in the Greater China region. The position requires 7+ years of enterprise sales experience, field sales background in big data or SaaS, and business proficiency in Mandarin.
The Enterprise Account Executive role focuses on expanding Databricks' presence among consumer and distribution companies in the UK and Ireland. Candidates must have strong closing experience, sales knowledge in cloud data and AI software, and familiarity with sales methodologies to drive adoption and manage complex enterprise accounts.
This role involves managing strategic enterprise accounts in the CPG sector for Databricks, focusing on driving value-based growth and expanding the company's footprint. Candidates must have 7+ years of enterprise sales experience, a Bachelor's degree, and the ability to simplify technical capabilities into value-based benefits.
The Enterprise Account Executive role focuses on acquiring and growing FSI customers in Japan by closing new accounts and expanding existing ones. Candidates must have 5+ years of experience selling complex software deals to enterprise FSI customers and proficiency in sales methodologies like MEDDPICC.
This role involves leading go-to-market campaigns for enterprise accounts in the gaming sector at Databricks. Candidates must have 7+ years of enterprise sales experience, a bachelor's degree, and the ability to simplify technical capabilities into value-based benefits.
This role involves identifying and acquiring new Enterprise accounts across multiple industries to drive revenue growth. Candidates must have 5+ years of experience selling complex software deals and managing long sales cycles.
The role involves growing strategic Manufacturing customers for Databricks in the UK by developing business plans and leading complex sales campaigns. Candidates must have experience in Big Data, cloud proof of concepts, and exceeding sales quotas in high-growth enterprise software companies.
This role involves owning and growing Databricks' Public Sector business in the Republic of Ireland and Scotland. Candidates must have a track record of selling into public-sector accounts and the ability to build a territory-level go-to-market strategy.
This role involves owning strategic sales into Japan's public sector to drive adoption of Databricks' data and AI platform. Candidates must have 8+ years of SaaS or cloud sales experience in Japan with a proven ability to navigate complex government procurement and stakeholder ecosystems.
This role involves driving the adoption of Databricks across a select group of organizations in the Middle East and Africa region. Candidates must have a strong background in new business development and a track record of closing consumption-based SaaS quotas.
This role involves selling Data & AI solutions to sports organizations, focusing on closing new enterprise accounts and growing consumption. Candidates must have 4-6 years of experience in value selling, open source technologies, and consumption-based sales motions.
The Enterprise Account Executive role focuses on growing Databricks usage within the Telecommunications industry in Japan. Candidates must have 10+ years of experience selling complex software deals to enterprise telecom customers and 5+ years of sales methodology experience.
This role involves owning and growing strategic UK Public Sector accounts for Databricks, focusing on expanding usage of the Intelligence Platform. Candidates must have a strong track record in public-sector sales, quota attainment, and experience managing inherited account portfolios.
The role is an Enterprise Account Executive for the Utilities sector in London, focused on growing strategic enterprise accounts and driving revenue. Candidates must have experience selling into the Utilities industry and managing large, complex, multi-national accounts.
This role involves selling Databricks' Data Intelligence Platform to enterprise accounts in the Benelux region. Candidates must have direct sales experience, understand consumption sales, and be proficient in MEDDPICC.
The role involves driving sales of Databricks within Federal Civilian accounts, managing complex sales cycles, and closing net new logos. Candidates must have 5+ years of field sales experience, Federal Civilian experience, and a background in big data, cloud, or SaaS sales.
This role involves selling Databricks' enterprise cloud data platform to Federal Financials accounts within the Federal Civilian space. Candidates must have field sales experience in big data, cloud, or SaaS, along with 5+ years of experience exceeding sales quotas.
This role involves selling Databricks' data platform to two large Healthcare and Payer accounts. Candidates must have 7+ years of sales experience, field sales background in big data or SaaS, and the ability to manage complex enterprise sales cycles.
The role is an Enterprise Account Executive in the Nordics region, responsible for owning a territory of approximately 10 large enterprise accounts. Candidates must have at least four years of software sales experience and demonstrate proficiency in consumption sales and MEDDPICC.
This role involves owning strategic sales into Canada's public sector to drive adoption of Databricks' data and AI platform. Candidates must have 7+ years of SaaS or cloud sales experience in the public sector and expertise in navigating complex government procurement processes.
This role leads a team of Enterprise Named and Strategic Account Executives in the Retail and Grocery sectors for Databricks. The position requires experience as a high-growth enterprise software sales leader with a focus on methodology-based coaching and value-based sales.
This role leads a team of Enterprise Named and Strategic Account Executives in the Telco and Utilities verticals within the UKI region. The position requires experience as a high-growth enterprise software sales leader with a history of exceeding quotas and managing sales organizations in the Data, AI, Cloud, or SaaS industry.
This role involves leading the architecture and productionization of data and AI solutions on the Databricks platform for enterprise customers. Candidates must have six or more years of experience in data engineering or software development, with deep expertise in Apache Spark and at least one major cloud ecosystem.
The role supports Databricks executive leadership in Costa Rica by managing complex calendars, coordinating travel, and planning high-impact events. Candidates require 5+ years of executive administrative experience, advanced calendar management skills, and C1 English proficiency.
This role supports two to three Sales Executives across EMEA by managing complex multi-time-zone calendars, coordinating high-volume interviews, and planning executive travel. Candidates require 5+ years of executive administrative experience, C1 English proficiency, and advanced calendar management skills.
This role supports R&D leaders in Amsterdam and EMEA by managing complex calendars, travel, and executive meetings. Candidates need 5+ years of executive administrative experience, C1 English, and advanced calendar management skills.
This role is a senior, customer-facing Field CTO for Databricks' Americas Industries Business Unit, focusing on data and AI strategy for regulated industries. The position requires 15+ years of experience in enterprise technology, consulting, and regulated sectors, with strong C-level relationship management and technical proficiency.
The Field Enablement Manager builds enablement strategies for Databricks' Emerging Business and LATAM segments to improve seller skills and pipeline. The role requires 6+ years of experience in sales enablement and the ability to build scalable programs for high-velocity sales motions.
This role leads a team of Specialist Solutions Architects to support complex technical sales cycles and customer engagements for Databricks. Candidates must have 5+ years of experience managing data and AI engineering teams and native Korean proficiency.
This role leads a team of Specialist Solutions Architects responsible for technical sales cycles and complex customer engagements. The manager must have 5+ years of experience leading data and AI engineering teams and hands-on experience with highly technical platforms.
This role leads a portfolio of complex, high-visibility technical programs within Databricks' Professional Services Operations. Candidates must have 5-8 years of experience managing technical programs and possess native-level Korean fluency.
This role serves as the technical authority for data pipelines and AI systems within Databricks' Finance and Accounting organisation. Candidates must have 12+ years of experience in data engineering or finance systems, with deep proficiency in SQL, Python, and the Databricks platform.
The Forward Deployed Engineer role involves building and productionizing data and AI solutions on the Databricks platform for customers. Candidates must own architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development.
The Forward Deployed Engineer role involves building and productionizing data and AI solutions for customers using the Databricks platform. Candidates must have 7+ years of experience in data engineering or software, with expertise in Apache Spark and at least one cloud ecosystem.
The Forward Deployed Engineer role involves building and productionizing data and AI solutions on the Databricks platform for customers. Candidates must have 6+ years of experience in data or software engineering, with deep expertise in Apache Spark and at least one cloud ecosystem.
The Forward Deployed Engineer role involves building and productionizing data and AI solutions for customers using the Databricks platform. Candidates must have 8+ years of experience in data engineering or software, with expertise in Apache Spark and at least one cloud ecosystem.
The Forward Deployed Engineer embeds with strategic customers to design and deliver custom fullstack applications on the Databricks platform. The role requires strong software engineering skills, customer-facing collaboration, and the ability to lead architecture and production system delivery.
This role involves building and productionizing data and AI solutions for federal government customers using the Databricks platform. Candidates must have 5+ years of experience in data engineering or software engineering and proficiency in Python, Scala, and JavaScript/TypeScript.
This role involves building and productionizing data and AI solutions for customers using the Databricks platform. Candidates must own architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development.
The role involves leading customer technical projects and owning architecture for data and AI solutions on the Databricks platform. Candidates must have strong experience in data engineering or software engineering, with expertise in Python, Scala, or JavaScript/TypeScript and Apache Spark.
The role involves leading architecture and design decisions for production-grade data and AI solutions on the Databricks platform. Candidates must have strong experience in data engineering or software development, with deep expertise in Apache Spark and at least one cloud ecosystem.
This role leads a team of 8+ individual contributors to build and productionize data and AI solutions on the Databricks platform. Candidates must have 8+ years of technical experience, 2+ years managing technical teams, and a Databricks certification.
This role leads a global team of specialists to grow the Databricks Genie business and establish a new sales motion. Candidates must have 15+ years in enterprise software sales and 5+ years leading high-performing sales teams.
This role is an Enterprise Geo Hunter Account Executive at Databricks focused on selling to Financial Services accounts. Candidates must have field sales experience in big data, cloud, or SaaS, along with 4+ years of experience exceeding sales quotas.
The Global SAP Consolidations Manager owns end-to-end consolidation and intercompany accounting across Databricks' 23-entity global footprint. The role requires 10+ years of progressive accounting experience, a CA or CPA certification, and mandatory SAP S/4HANA Group Reporting expertise.
This role leads global workplace experience strategy and event execution for Databricks, focusing on scaling high-impact programming across multiple regions. Candidates must have 8-12+ years of experience in experiential events or hospitality within a global tech company and manage multi-million-dollar budgets.
This role leads the strategy and development of AI-native enablement systems for Databricks' field teams. Candidates must have 7+ years in GTM or sales enablement and build apps, skills, and processes to personalize training by role and segment.
This role involves building the strategy and enablement engine for Databricks' Global Sales Enablement team to drive revenue through product and alliance adoption. Candidates must have 7+ years of experience in sales enablement or GTM for technical data or AI platforms and demonstrate strong cross-functional influence.
The GTM Talent Sourcer role involves finding and assessing profiles for sales and technical roles while engaging passive talent. Candidates must have at least two years of sourcing experience in technical or go-to-market recruiting and a bachelor's degree.
This role serves as the Go-to-Market Leader for EMEA Financial Services, driving strategy for Banking, Payments, and Insurance. Candidates must have 10+ years of executive experience in Banking and intimate knowledge of European financial regulations.
The Head of Marketing for Japan leads country strategy and integrated marketing to accelerate pipeline growth and market expansion. The role requires 15+ years of enterprise marketing leadership, strategic business partnership, and fluency in Japanese and English.
The role is an Account Executive in Databricks' Enterprise Sales team based in Singapore, focused on the Indonesian market. Candidates must have a Bachelor's degree, 5+ years of SaaS sales experience, and the ability to engage C-Level executives.
This role is a Named Hunter Account Executive based in Singapore, responsible for closing new and existing enterprise accounts in the Philippines. Candidates must have 7+ years of enterprise sales experience, a bachelor's degree, and experience selling SaaS solutions to enterprise customers.
The Incident Manager leads critical production incidents and coordinates multi-team responses to mitigate impact and restore operations. The role requires 5+ years of experience in incident management or site reliability engineering, along with strong cloud infrastructure and observability skills.
This role involves driving Lakebase revenue and adoption within the Retail vertical by partnering with Account Executives and leading complex sales cycles. Candidates must have 7+ years of enterprise SaaS sales experience and strong skills in selling data platforms and operational databases to technical and business stakeholders.
This role involves driving Lakebase revenue and adoption within the Retail vertical by partnering with Account Executives and leading complex sales cycles. Candidates must have 7+ years of enterprise SaaS sales experience and strong skills in selling data platforms and operational databases to technical and business stakeholders.
This role involves driving Lakebase revenue and adoption within the Retail vertical by partnering with Account Executives and leading complex sales cycles. Candidates must have 7+ years of enterprise SaaS sales experience and strong skills in selling data platforms and operational databases to technical and business stakeholders.
This role involves driving Lakebase revenue and adoption within a defined territory by partnering with Account Executives and technical stakeholders. Candidates must have 7+ years of enterprise SaaS sales experience and strong skills in selling data platforms and operational databases to technical and business leaders.
This role involves driving Lakebase revenue and adoption within the Financial Services vertical by partnering with Account Executives and leading complex sales cycles. Candidates must have 7+ years of enterprise SaaS sales experience and strong skills in selling data platforms and operational databases to technical and business stakeholders.
The role involves driving Lakebase revenue by identifying and qualifying opportunities within a defined territory while partnering with Account Executives. Candidates must have 7+ years of enterprise SaaS sales experience and strong skills in selling data platforms to technical and business stakeholders.
The Lakebase Sales Specialist role drives revenue for Databricks' fully-managed Postgres offering by partnering with Account Executives to sell to technical and business stakeholders. Candidates must have 7+ years of enterprise SaaS sales experience and strong skills in complex, multi-stakeholder deals.
The role involves driving Lakebase revenue by identifying and qualifying opportunities within a defined territory, partnering with Account Executives to sell fully-managed Postgres for operational workloads. Candidates must have 7+ years of enterprise SaaS sales experience, native Portuguese skills, and the ability to manage complex, multi-stakeholder sales cycles.
The role involves driving Lakebase revenue and activations within a defined territory by partnering with Account Executives. Candidates must have enterprise sales experience, strong technical understanding of data architectures, and the ability to sell to both technical and business stakeholders.
This role involves driving Lakebase revenue by identifying and qualifying opportunities within a defined territory while partnering with Account Executives. Candidates must demonstrate enterprise SaaS sales experience, strong value selling skills, and the ability to engage both technical and business stakeholders.
The role involves driving Lakebase revenue by identifying and qualifying opportunities within a defined territory, partnering with Account Executives to sell fully-managed Postgres services. Candidates must demonstrate enterprise SaaS sales experience, strong value selling skills, and the ability to engage both technical and business stakeholders.
The role involves driving Lakebase revenue by identifying and qualifying opportunities within a defined territory while partnering with Account Executives. Candidates must demonstrate enterprise SaaS sales experience, strong value selling skills, and the ability to engage both technical and business stakeholders.
The role is a Lakebase Sales Specialist Account Executive in Japan responsible for driving revenue and adoption of Databricks Lakebase. Candidates must have 7+ years of enterprise SaaS sales experience and strong skills in complex, multi-stakeholder deals.
The role is a Lakebase Sales Specialist Account Executive within the Lakebase Go-To-Market team, responsible for driving revenue and adoption of Databricks Lakebase in the Greater China region. Candidates must have 7+ years of enterprise SaaS sales experience, strong technical selling skills, and the ability to manage complex, multi-stakeholder sales cycles.
The role involves driving new Lakebase revenue by identifying and closing opportunities within a defined territory in partnership with Account Executives. Candidates must have extensive enterprise SaaS sales experience and the ability to sell to both technical and business stakeholders.
The role is a Lakebase Sales Specialist Account Executive in Singapore responsible for driving revenue and adoption of Databricks Lakebase in the Greater China region. Candidates must have 7+ years of enterprise SaaS sales experience, strong Mandarin proficiency, and the ability to manage complex multi-stakeholder sales cycles.
The role is a Lakebase Sales Specialist Account Executive in the Greater China region, responsible for driving revenue and adoption of Databricks Lakebase. Candidates must have 7+ years of enterprise SaaS sales experience, strong Mandarin proficiency, and the ability to manage complex, multi-stakeholder sales cycles.
The role involves driving Lakebase revenue by identifying and qualifying opportunities within a defined territory, partnering with Account Executives to sell fully-managed Postgres for operational workloads. Candidates must demonstrate enterprise SaaS sales experience, strong value selling skills, and the ability to engage both technical and business stakeholders.
The role involves driving Lakebase revenue by identifying and closing opportunities within a defined territory in partnership with Account Executives. Candidates must have 7+ years of enterprise SaaS sales experience and strong skills in selling data platforms to technical and business stakeholders.
The role involves driving Lakebase revenue in the Central region by identifying and qualifying opportunities for Databricks' fully-managed Postgres offering. Candidates must have 7+ years of enterprise SaaS sales experience and the ability to lead complex, multi-stakeholder sales cycles.
The role involves driving Lakebase revenue by identifying and closing opportunities in partnership with Account Executives across the Central region. Candidates must demonstrate strong enterprise SaaS sales experience, technical understanding of data architectures, and the ability to lead complex, multi-stakeholder sales cycles.
The role involves driving Lakebase revenue and activations within a defined territory by partnering with Account Executives. Candidates must have enterprise sales experience, strong technical understanding of data architectures, and the ability to sell to both technical and business stakeholders.
The role involves driving Lakebase revenue and activations within a defined territory by partnering with Account Executives. Candidates must have enterprise sales experience, strong technical understanding of data architectures, and the ability to sell to both technical and business stakeholders.
This role involves driving Lakebase revenue in Sydney by identifying and closing opportunities for Databricks' fully-managed Postgres offering. Candidates must have 7+ years of enterprise SaaS sales experience and the ability to sell to both technical and business stakeholders.
This role involves leading legal support for strategic technology partnerships and complex transactions at Databricks. Candidates must have at least 10 years of experience, a J.D., and deep knowledge of AI and cloud platform contracts.
The Lead Engagement Manager delivers measurable impact for Digital Native Business customers and regional teams within the Forward Deployed Engineering organization. The role requires 10+ years of leadership experience in Professional Services, expertise in Databricks architecture, and the ability to scope complex multi-quarter initiatives.
The Lead Engagement Manager delivers measurable impact for Healthcare & Life Sciences customers by scoping complex, multi-quarter initiatives within the Forward Deployed Engineering organization. The role requires 10+ years of leadership experience in Professional Services, expertise in Databricks architecture, and the ability to mentor junior managers and shape sales strategy.
This role leads technical program management for complex customer engagements in the Forward Deployed Engineering team. Candidates must demonstrate technical acumen, strategic influence, and experience managing scope, budget, and risk without requiring hands-on coding.
The role involves owning the platform learning experience for Databricks customers and partners by defining the product vision for AI-first learning systems. Candidates must have 5-8+ years of experience in product management or learning platforms, with a track record of owning product areas end-to-end and collaborating with engineering and design teams.
The Lead Solutions Architect role involves owning complex enterprise relationships in the DACH region and delivering technical and commercial solutions. Candidates must have substantial pre-sales experience, deep data expertise, and hands-on coding skills in Python and SQL.
This role is a Lead Solution Architect focused on Generative AI for Databricks' EMEA Emerging DNB business unit. The position requires deep expertise in LLMs, applied machine learning, and the Databricks platform to design production-grade GenAI architectures and mentor field engineering teams.
This role is a Lead Solution Architect focused on Generative AI for Databricks' EMEA Emerging DNB business unit. The position requires deep expertise in LLMs, applied machine learning, and the Databricks platform to design production-grade GenAI architectures and mentor field engineering teams.
This role is a Lead Solutions Architect focused on Generative AI for Databricks' EMEA Emerging DNB business unit. The position requires deep expertise in LLMs, applied machine learning, and the Databricks platform to design production-grade GenAI architectures and mentor field engineering teams.
This role is a Lead Solutions Architect focused on Generative AI for Databricks' EMEA Emerging DNB business unit. The position requires deep expertise in LLMs, applied machine learning, and the Databricks platform to design production-grade GenAI architectures and mentor field engineering teams.
This role is a Lead Solutions Architect focused on Generative AI for Databricks' EMEA Emerging DNB business unit. The position requires deep expertise in LLMs, applied machine learning, and the Databricks platform to design production-grade GenAI architectures and mentor field engineering teams.
This role is a Lead Solutions Architect for a strategic MedTech customer, responsible for owning the technical relationship and Data + AI vision. The position requires 10+ years of experience in data engineering or AI architecture and the ability to lead virtual teams and drive enterprise platform strategy.
This role leads the development of a global Field Engineering capability portfolio, including skills verification and readiness pathways. Candidates must have 6+ years of experience in technical enablement or product management and strong strategic judgment.
This role leads GTM technical and product execution excellence within Databricks, partnering with the SVP of Field Engineering to define strategy and drive scale. Candidates must have 10+ years of experience in strategy or technical leadership and strong cross-functional influence.
The role involves reviewing and negotiating commercial agreements for Databricks' EMEA business while supporting sales teams. Candidates must be qualified lawyers with approximately three years of PQE and SaaS commercial experience.
The role involves building and leading a team of Delivery Solution Architects to shape post-sales delivery strategy for major customers in the SEMEA region. Candidates must have 10+ years of customer-facing experience, team leadership skills, and technical expertise in Cloud, Data, and AI domains.
This role involves building and leading a team of Delivery Solution Architects responsible for post-sales customer success and technical strategy. Candidates must have 5+ years managing customer-facing technical teams and experience putting data and AI workloads into production.
This role involves building and leading a team of Delivery Solution Architects to manage post-sales success for Databricks' largest Financial Services customers. The manager sets technical strategy, partners with sales and professional services, and drives measurable customer outcomes such as use-case throughput and renewal rates.
This role leads a team of Delivery Solutions Architects to accelerate production-grade Data and AI workloads for healthcare and life sciences customers on the Databricks platform. Candidates must have 8+ years in customer-facing technical roles, 3+ years managing teams, and expertise in regulated environments, cloud-native Lakehouse architectures, and secure ML operations.
This role involves building and leading a team of Delivery Solution Architects in the Canada region to manage post-sales technical strategy for enterprise customers. The manager must have 7+ years of customer-facing experience, strong Databricks technology knowledge, and proven success in leading technical post-sales teams.
This role leads Databricks' open source Developer Relations team, managing advocates and deepening engagement with Apache and Linux Foundation communities. Candidates must have 8+ years in developer relations and technical roles, plus 2+ years managing a DevRel team.
This role leads Databricks' open source Developer Relations team, managing advocates and deepening engagement with Apache and Linux Foundation communities. Candidates must have 8+ years in developer relations and technical roles, plus 2+ years managing a DevRel team.
This role leads the Data visualization and UC Business Semantics teams within Databricks' AI/BI department. Candidates must have 5+ years of distributed systems experience and 2+ years managing SaaS engineering teams.
This role leads a technical pre-sales team of Solutions Architects in the Japan region, focusing on designing data-driven solutions and driving business growth. Candidates must have proven experience managing technical teams in Big Data, Cloud, or SaaS environments, along with strong collaboration and communication skills.
This role leads a team of technical pre-sales Solutions Architects for enterprise Named Accounts in the Benelux region. The manager must coach SAs on complex architectures, drive AI adoption, and partner with Sales to meet consumption targets.
This role leads a team of Specialist Solution Architects in the Life Science vertical to drive Databricks consumption and technical wins. Candidates need 2+ years of leadership experience, expertise in healthcare and life science solutions, and knowledge of regulations like HIPAA and HL7.
This role involves leading a team of Solutions Architects for the Financial Services industry within Databricks' Field Engineering department. Candidates must have 7+ years of data experience and 3+ years leading technical pre-sales teams to drive customer success and revenue.
This role leads a team of 8-10 Field Engineering professionals to solve complex data, analytics, and AI challenges for enterprise customers. Candidates must have experience managing technical teams, partnering with sales, and maintaining technical credibility in cloud and AI platforms.
This role leads a team of 8-10 Field Engineering professionals to solve complex data, analytics, and AI challenges for enterprise customers. Candidates must have experience managing technical teams, partnering with sales, and maintaining technical credibility in cloud and AI platforms.
This role involves managing a team of Solutions Architects for Databricks' Manufacturing Segment within the Field Engineering organization. Candidates must have 7+ years in the Data + AI space and 3+ years leading technical pre-sales teams.
This role manages a team of Solutions Architects to drive Databricks platform adoption at large tech companies. Candidates need 4+ years in data technology and 3+ years leading technical customer-facing teams.
This role manages a team of Solutions Architects to drive Databricks platform adoption at large tech companies. Candidates need 4+ years in data technology and 3+ years leading technical customer-facing teams.
This role involves leading a pre-sales team of Solutions Architects and Engineers in France to design value-based solutions and drive growth. Candidates must have experience managing technical teams in Big Data, Cloud, or SaaS environments and possess native-level French and fluent English.
This role leads a team of Specialist Solutions Architects responsible for technical sales cycles and customer engagements. The manager must guide team effectiveness, support complex sales cycles, and build relationships with key stakeholders in large corporations.
This role involves leading a team of technical pre-sales Solutions Architects and Engineers in Italy to drive revenue and support complex sales cycles. Candidates must have experience managing Big Data or SaaS teams and possess native Italian and fluent English communication skills.
This role leads a team of Forward Deployed Engineers and AI Engineers in Sydney, focusing on data migrations and AI solutions for enterprise clients. Candidates require 4+ years of people leadership and 5+ years of hands-on technical experience in data or AI engineering.
This role involves hiring and managing Big Data Engineers and Architects while overseeing customer projects in the Databricks ecosystem. Candidates must have 12+ years of industry experience, 4+ years leading technical teams, and extensive Big Data expertise.
This role leads a team of Forward Deployed Engineers to deliver data migrations and AI solutions for enterprise customers. Candidates must have 4+ years leading technical teams and 5+ years as a technical solutions architect or data/AI engineer.
This role leads global pipeline strategy and executive governance for Databricks' Sales Development organization. Candidates must have GTM strategy experience and strong analytical skills to design capacity models and AI-native workflows.
This role serves as an embedded insights partner to the EMEA Marketing VP/GM, focusing on forecasting, performance analysis, and operational telemetry. Candidates require 6+ years in GTM strategy, FP&A, or consulting, with strong B2B demand-generation and forecasting experience.
This role requires managing and hiring an outbound Business Development Representative team to drive pipeline generation in the Public Sector. Candidates must have at least two years of sales experience, including one to two years managing outbound sales development teams in a SaaS environment.
The role is a Senior Manager, Strategy & Operations position within Databricks' Field Engineering team, focused on defining Go-To-Market strategy and building data analytics foundations. Candidates must have 7+ years of experience in strategy, operations, or FP&A, along with proficiency in SQL, Excel, and BI tools.
The Manager, Technical Solutions Spark role leads a regional Data & AI team in Bengaluru to support customer production workloads across APJ and EMEA. Candidates require 10+ years in IT with 3+ years of management experience and production-scale expertise in Big Data or Machine Learning.
This role leads the AI Forward Deployed Engineering team in India, focusing on customer-facing AI transformation and professional services. Candidates must have strong technical depth in AI/ML, experience managing high-performing teams, and a graduate degree in a quantitative discipline.
The role is a Named Account Executive in the Healthcare and Life Science department for the Benelux region. Candidates must have extensive experience selling complex enterprise solutions and managing federated sales campaigns.
This role involves end-to-end ownership of enterprise accounts in Western Canada, focusing on the Energy, Mining, and Utilities sectors. Candidates must have 5+ years of enterprise sales experience, strong domain expertise, and the ability to drive pipeline growth and manage complex multi-stakeholder sales cycles.
This role is an Enterprise Account Executive for Databricks in the Nordics, responsible for selling data and AI solutions to existing customers and growing consumption. Candidates must have extensive experience selling complex enterprise solutions, managing federated sales campaigns, and exceeding sales quotas in high-growth software companies.
This role is an Enterprise Account Executive responsible for selling Databricks' cloud data platform to enterprise accounts. Candidates must have 7+ years of enterprise sales experience, field sales background in big data or SaaS, and the ability to close new and existing accounts.
This role is an Enterprise Account Executive responsible for selling Databricks' cloud data platform to enterprise accounts. Candidates must have 7+ years of enterprise sales experience, field sales background in big data or SaaS, and the ability to close new and existing accounts.
This role is an Enterprise Account Executive responsible for selling Databricks' cloud data platform to enterprise accounts. Candidates must have 7+ years of enterprise sales experience, field sales background in big data or SaaS, and the ability to close new and existing accounts.
This role involves acquiring and growing public sector customers in Singapore for Databricks. Candidates must have 7+ years of SaaS sales experience and demonstrate success in enterprise or big data sales.
The role involves building relationships and closing new business opportunities within two of Germany's largest Retail companies for Databricks. Candidates must have proven enterprise sales experience in data, analytics, or AI, along with strong German and English language skills.
This role is an Enterprise Account Executive in Databricks responsible for selling to Enterprise accounts in Thailand. Candidates must have 7+ years of enterprise sales experience, proficiency in Thai, and experience in big data, cloud, or SaaS sales.
This role is an Enterprise Account Executive in Finland responsible for selling Databricks data and AI solutions to existing customers. The position requires extensive experience in complex enterprise sales, managing federated campaigns, and exceeding quotas in high-growth software companies.
The role is an Enterprise Account Executive in the Nordics responsible for selling Databricks data and AI solutions to existing customers. Candidates must have extensive experience selling complex enterprise solutions, managing federated sales campaigns, and exceeding sales quotas in high-growth software companies.
This role involves selling Databricks' enterprise cloud data platform to net-new accounts in the SaaS market. Candidates must have 5+ years of sales experience in SaaS or PaaS companies and a Bachelor's Degree.
This role involves selling Databricks' enterprise cloud data platform to large healthcare accounts in the Northeast and Southeast US. Candidates must have 5+ years of field sales experience in big data, cloud, or SaaS, with a preference for managing complex healthcare accounts and closing new logos.
This role involves driving new business for Databricks in the UK Public Sector by building pipeline and closing strategic deals. Candidates must have a track record of exceeding quota in public sector accounts and experience with cloud software or data and AI.
This role leads Procure-to-Pay transformation by designing and deploying automation and data solutions within business workflows. Candidates must have 4-8 years of experience in data analytics, process automation, or operations, with hands-on skills in SQL, Python, and workflow tooling.
The Partner Enablement Operations Manager designs and runs a scalable, data-driven operating model for partner enablement across AMER, EMEA, and APJ regions. The role requires 10+ years of operational leadership experience, strong analytical capabilities, and the ability to implement AI-enabled workflows to reduce manual effort and improve execution.
The Partner Solutions Architect role involves enabling Databricks' C&SI partners to help customers achieve data-driven outcomes using the Databricks platform. Candidates must have 5+ years of pre-sales or consulting experience, expertise in public cloud architectures, and proficiency in SQL, Python, Scala, or Java.
The Payroll Tax Manager serves as an internal subject matter expert on payroll tax, advising various teams on legislative changes and global policy. The role requires 5+ years of payroll tax experience, strong knowledge of US and international regulations, and experience with payroll systems and audits.
This role involves working with the research team on projects focused on adapting LLMs and AI systems towards enterprise domains. Candidates must have research experience in deep learning, be pursuing a PhD in computer science or related fields, and possess proficient software engineering skills with PyTorch.
This role involves leading a team of pre-sales Solutions Architects for complex Retail and CPG accounts in the UK and Ireland. The manager must drive revenue growth, scale the team, and build go-to-market strategies while mentoring technical professionals.
This role leads a multidisciplinary research team to advance large-scale machine learning, focusing on LLM scaling, efficiency, and systems performance. Candidates must define a research roadmap, drive algorithmic innovations, and translate breakthroughs into production capabilities.
This role leads brand content strategy and AI search visibility, requiring ownership of high-quality content creation and distribution. Candidates must have 10+ years of experience in content strategy or editorial leadership, with strong skills in GEO/AEO, SEO, and managing AI content agents.
The Principal Demand Generation Manager, Campaign Development leads integrated marketing campaigns and defines strategic frameworks for Databricks. The role requires 7+ years of experience, including 5+ in demand generation, and strong stakeholder management skills.
This role involves creating the vision and strategy for security engineering at Databricks to protect customer data. Candidates must have 9+ years of experience in Data Security and expertise in at least two specified areas, along with 15+ years building large-scale distributed systems.
This role involves creating the vision and strategy for security engineering at Databricks to protect customer data. Candidates must have 9+ years of experience in Data Security and expertise in at least two specified areas, along with 15+ years building large-scale distributed systems.
The Principal Engineer - Privacy role involves creating the vision and strategy for security engineering at Databricks. Candidates must have 9+ years of experience in Data Security and expertise in at least two specified areas, along with 15+ years building large-scale distributed systems.
This role involves creating the vision and strategy for security engineering at Databricks to protect customer data. Candidates must have 10+ years of experience in Data Security and expertise in at least two related areas, such as Cryptography or Kubernetes Security.
This role involves crafting a long-term vision for Authentication at Databricks, balancing security with user experience. Candidates must have 10+ years in Data Security and expertise in at least two related areas, plus 15+ years building large-scale distributed systems.
This role involves crafting a long-term vision for Authentication at Databricks, balancing security with user experience. Candidates must have 10+ years in Data Security and expertise in at least two related areas, plus 15+ years building large-scale distributed systems.
This Principal Engineer role leads Compute Fleet Management at Databricks, focusing on optimizing cloud resources across AWS, Azure, and GCP. The position requires deep experience in distributed systems and a track record of operating large-scale, mission-critical infrastructure.
This role leads a research team to advance large-scale machine learning, focusing on LLM post-training, RL, and inference efficiency. Candidates must define research roadmaps, drive algorithmic innovations, and translate breakthroughs into production systems.
The Principal Security Field Engineer role involves working with customers and field teams to explain Databricks security architectures and address compliance questions. Candidates need 7+ years of technical pre-sales or post-sales experience and strong communication skills for complex security concepts.
This is a 12-week paid summer internship for a Product Design Intern joining a cross-functional team to build features for the Databricks platform. Candidates must pursue a degree in design or a related field with an expected graduation date of December 2027 or Spring 2028.
This role is an Associate Product Designer position for the 2027 APD cohort at Databricks. Candidates must graduate in Fall 2026 or Spring 2027 with a degree in HCI or a related design practice.
This role leads product finance for Databricks' AI business, focusing on GPU supply planning, pricing, and unit economics. Candidates require 10+ years in strategic finance and experience building scalable financial systems.
This role leads R&D capital allocation and engineering operations at Databricks, partnering with senior leaders to drive product-level ROI and global workforce strategy. Candidates require 10+ years of experience in Strategic/Product Finance or R&D FP&A, with deep expertise in large-scale R&D OpEx and multi-site workforce planning.
This role involves owning the economics and financial operations of Databricks' multi-cloud platform spend, including driver-based forecasting and cost attribution. Candidates must have 8+ years of experience in Strategic/Product Finance or FinOps and deep fluency in public cloud infrastructure costs.
This is a 12-week paid summer internship in Product Management at Databricks, where interns work with teams to build platform features and manage projects end-to-end. Candidates must be pursuing a degree in computer science or a related engineering subject and possess experience with SQL and/or Python.
This is a 12-week paid summer internship in Product Management at Databricks, focusing on customer problem-solving and platform feature development. Candidates must be graduating in 2027-2028 with experience in SQL, Python, and AI tooling.
This is a 12-week paid summer internship in Product Management at Databricks, where interns work with teams to build platform features and manage projects end-to-end. Candidates must be pursuing a degree in computer science or a related engineering subject and possess experience with SQL and/or Python.
This is a 12-week paid summer internship in Product Management at Databricks, focusing on customer problem-solving and feature development. Candidates must be graduating in Fall 2027 or Spring 2028 with experience in SQL, Python, and AI tooling.
This role is an Associate Product Manager position for the 2027 cohort in Amsterdam. Candidates must graduate between Fall 2026 and Summer 2027 with a degree in computer science or related engineering.
This role is an Associate Product Manager position for the 2027 cohort in Belgrade, focused on prototyping and shipping features for the Databricks platform. Candidates must be graduating in Fall 2026 or Spring 2027 with a degree in computer science or a related engineering field.
This role is an Associate Product Manager position for the 2027 cohort in Berlin. Candidates must graduate between Fall 2026 and Summer 2027 with a degree in computer science or related engineering.
The Program Analyst, Legal Ops (Commercial) role supports Databricks' Commercial Legal team by managing high-priority AI and scaling initiatives. Candidates must have three or more years of experience in legal operations, program management, or contracts, along with strong project management and communication skills.
This role owns the contracting engine for US and international public-sector deals at Databricks, reporting to the Director & Associate General Counsel. Candidates must have 6+ years in government contracts or public procurement at a technology company and experience with SaaS and cloud contracting.
The Public Sector Field Enablement Manager develops strategies to help Databricks win new public sector customers and grow platform consumption. The role requires 6+ years of experience in sales or field enablement, with specific expertise in federal or national security procurement and compliance.
This role involves designing equity and cash compensation strategies for R&D and engineering teams at Databricks. Candidates must possess deep technical domain knowledge, advanced analytics skills, and the ability to partner with executive leadership on high-stakes pay decisions.
The role involves owning full-cycle recruiting for technical GTM roles, including Solutions Architects and Forward Deployed Engineers, across the Singapore and ASEAN/Greater China region. Candidates must have proven experience in software, data, or AI recruiting and demonstrate the ability to build strategic partnerships and manage high-pressure hiring goals.
This role is a Go-to-Market Leader for APAC Retail & Consumer Goods at Databricks, responsible for architecting a new category strategy and building a partner ecosystem. The position requires extensive experience constructing vertical go-to-market programs, engaging with C-level executives, and leading large-scale transformation initiatives in the data and AI landscape.
The role is a Lakebase Sales Specialist Account Executive responsible for driving revenue and adoption of Databricks Lakebase in partnership with regional Account Executives. Candidates must have 7+ years of enterprise SaaS sales experience and strong skills in complex, multi-stakeholder deals.
The role requires owning the functional design and configuration of core finance processes on S/4HANA, including Record-to-Report, Source-to-Pay, and Order-to-Cash. Candidates must have 6+ years of SAP functional consulting experience and expertise in process intelligence and AI-driven automation.
The SAP Functional SME role owns the functional design and configuration of core finance processes on S/4HANA, including Record-to-Report, Source-to-Pay, and Order-to-Cash. The position requires 6+ years of SAP consulting experience, expertise in process intelligence, and the ability to integrate AI and agentic automation into controlled, auditable workflows.
The SAP Technical Lead owns the technical architecture and delivery of Databricks' S/4HANA platform, focusing on clean-core principles and AI integration. The role requires 10+ years of SAP experience, 3+ years as a technical lead, and expertise in SAP BTP, integration, and data engineering.
The Scale Solution Engineer advises customers on Databricks onboarding and production deployment in Tokyo. Candidates need a degree in a relevant field, 2+ years of technical experience, and knowledge of a public cloud platform and programming language.
The Scaled Engagement Manager at Databricks oversees the operational execution of the Meetings at Events program, managing meeting logistics, reporting, and enablement. The role requires 7+ years of B2B event coordination experience, strong analytical skills, and the ability to manage multiple workstreams globally.
The Senior AI Engineer - FDE role involves developing and deploying production-grade GenAI applications for customer engagements at Databricks. Candidates must have extensive hands-on data science experience, expertise in tools like HuggingFace and LangChain, and a graduate degree in a quantitative discipline.
The Senior Applied ML Engineer role focuses on using machine learning and optimization algorithms to improve Databricks infrastructure efficiency. Candidates must have a Master's degree, production ML experience, and proficiency in Python, Scala, or Java.
This role involves designing compensation solutions for Databricks' Go-To-Market organization and building AI-enabled tools to scale those processes. Candidates must possess expert-level analytical modeling skills, equity fluency, and a track record of advising senior leaders on high-stakes compensation decisions.
This role owns the AI strategy and roadmap for the Scaled Customer Enablement Agent Suite, integrating GTM activation and enablement strategy. It requires 6+ years of experience in Sales Enablement or GTM Program Management and hands-on fluency with modern AI systems like RAG pipelines and agents.
This role involves shaping data science directions for usage forecasting and product analytics while collaborating with stakeholders to make data-driven decisions. Candidates must have production data science experience, strong coding skills in Python or Scala, and proficiency in SQL and distributed systems.
The role involves providing technical leadership for AI solutions and guiding strategic customers through big data and agentic AI implementations. Candidates must have 10+ years of pre-sales experience and proficiency in Databricks, Python, and cloud platforms.
The Senior Engagement Manager serves as a trusted advisor for the Forward Deployed Engineering organization, responsible for the end-to-end go-to-market strategy of FDE and Training. The role requires independently scoping complex data and AI engagements for large customers while driving full-cycle sales and account growth.
The role involves building scalable, cloud-agnostic infrastructure and distributed systems for the Databricks platform. Candidates must have 12+ years of experience in large-scale systems and extensive leadership experience managing engineering teams.
This role leads the Materialized Views engineering team within Databricks' Lakeflow platform, focusing on ETL workloads and query acceleration. Candidates must have at least three years of engineering management experience and five years building data infrastructure systems like Apache Spark or database internals.
This role leads the development of Databricks' Learning product, focusing on self-paced and enterprise-managed learning experiences powered by AI. Candidates must have 15+ years of software engineering experience and 5+ years of engineering management, with a track record of scaling teams and building consumer-facing products.
This role leads a team of approximately 20 software engineers to build unified infrastructure for Databricks' Workspace Platform. Candidates must have 15+ years of software engineering experience and 5+ years of engineering management experience.
The role involves leading high-stakes, multi-workstream technical programs to drive customer success and scalability. Candidates must have 8-12+ years of experience and advanced technical fluency, including required Databricks certifications.
The role involves building and maintaining data pipelines, applications, and AI-powered tools for Databricks' Finance and Accounting organization. Candidates must have 7+ years of experience in finance, data engineering, or analytics, with proficiency in SQL, Python, and the Databricks platform.
The Senior Financial Analyst role involves owning bookings and cash forecasts within the Sales Finance team. Candidates require a bachelor's degree and at least three years of corporate finance or consulting experience.
The Senior Forward Deployed Engineer role involves building and productionizing data and AI solutions on the Databricks platform for customers. Candidates must lead architecture, implement end-to-end systems, and work cross-functionally to deliver measurable business impact.
The role involves leading customer technical projects and designing production-grade data and AI systems on the Databricks platform. Candidates must have deep experience with Apache Spark, distributed computing, and at least one cloud ecosystem.
The role involves building and productionizing data and AI solutions for customers using the Databricks platform. Candidates must lead architecture, implement end-to-end systems, and work cross-functionally to deliver measurable business outcomes.
The role leads a regional team of Data & AI technical experts in India to support customer production workloads across EMEA and APJ business hours. Candidates require 12+ years in IT with 3+ years of management experience and production-scale expertise in Big Data or AI.
This role leads the UK AI Forward Deployed Engineering team at Databricks, focusing on GenAI professional services and customer transformation. Candidates must have extensive experience managing data science teams, deep technical expertise in ML and GenAI, and a track record of scaling organizations.
This role leads a team of Designated Support Engineers to deliver white-glove support for enterprise customers. Candidates must have 15+ years of industry experience, 7+ years of management, and a B.S. in Computer Science.
This role leads a team of Designated Support Engineers to deliver white-glove support for enterprise customers. Candidates must have 15+ years of industry experience, 6+ years of management, and a B.S. in Computer Science.
The role involves leading a team of data scientists to shape Databricks infrastructure through data science, focusing on capacity planning, performance optimization, and reliability engineering. Candidates must have 10+ years of infrastructure data science experience and 5+ years of management experience in high-velocity companies.
The role involves leading a team of data scientists to shape Databricks infrastructure through data science, focusing on capacity planning, performance optimization, and reliability engineering. Candidates must have 10+ years of infrastructure data science experience and 5+ years of management experience in high-velocity companies.
The role involves helping customers debug and maintain stable GenAI and ML workloads on the Databricks Platform. Candidates must have 8+ years of experience in production ML/AI systems and expertise in distributed systems, MLOps, and LLM deployments.
The Senior Payroll Accountant executes day-to-day and month-end accounting tasks for Databricks' global payroll, including complex reconciliations and variance analysis. The role requires 6-8 years of accounting experience, with at least 4 years in payroll, and a BA/BS degree in a relevant field.
The Senior Payroll Analyst supports accurate and timely payroll processing for the Asia region, including Australia, Korea, Japan, and Singapore. The role requires 5-7 years of regional payroll experience, regulatory knowledge, and proficiency with Workday Payroll or similar HRIS systems.
This role leads the creation of a partner product-specialist function in EMEA to deepen System Integrator expertise in Databricks priority products. Candidates must have extensive Databricks experience, strong go-to-market instincts, and the ability to build partner capability at scale.
The Senior Production Engineer role focuses on building monitoring and incident mitigation tooling for Databricks' realtime products. Candidates must have 5+ years of experience in production or site reliability engineering and strong programming skills.
The role involves building SAP BTP extensions, full-stack applications, and integrations with the Databricks platform to automate finance workflows. Candidates must have 6+ years of SAP development experience and strong skills in ABAP, SAP Fiori, and AI integration.
The Senior Scale Solution Engineer role involves independently owning customer engagements across the lifecycle and serving as a technical expert on the Databricks platform. Candidates must have 4+ years of technical experience, a degree in a relevant field, and deep knowledge of at least one major cloud platform.
The role involves advising customers across their lifecycle on the Databricks Data + AI Platform and building AI-augmented workflows. Candidates need 4+ years of technical experience, deep cloud platform knowledge, and strong Korean and English communication skills.
The role involves designing and optimizing application frameworks and low-level system components at Databricks. Candidates must have 7+ years of experience with deep expertise in JVM internals, memory management, and distributed systems.
The role involves designing and optimizing application frameworks and low-level system infrastructure for the Databricks platform. Candidates must have 7+ years of experience with deep expertise in JVM internals, memory management, and distributed systems.
The role involves building and scaling backend infrastructure for the Databricks platform, focusing on cloud-agnostic abstractions and developer tooling. Candidates require a CS degree and 6+ years of production experience in distributed systems and backend languages.
The role involves building infrastructure for ML and AI users to configure training and serving environments. Candidates need 5+ years of backend or infrastructure engineering experience with strong Python, Scala, or Java skills.
The role involves designing and operating the Databricks metrics store and cross-company Data Intelligence Platform to automate decision-making. Candidates must have 6+ years of industry experience and 4+ years of technical leadership in building large-scale data pipelines and ETL frameworks.
The role involves building backend connectivity services and leading the design of new services for Databricks' networking infrastructure in Bengaluru. Candidates must have 6+ years of production experience in languages like Python or Java and 3+ years developing large-scale distributed systems.
The Senior Software Engineer role focuses on building and governing Databricks' Money systems, including resource admission control and usage infrastructure. Candidates must have 7+ years of production experience in Java, Scala, or C++ and expertise in large-scale distributed systems.
The Senior Software Engineer on the Application Traffic team designs and builds systems for service-to-service communication across thousands of clusters in a multi-cloud environment. The role requires a BS in Computer Science, 5+ years of experience with large-scale distributed systems, and proficiency in languages such as Java, Scala, Go, or C++.
The role involves building scalable backend infrastructure and services for the Databricks platform, focusing on resource management and distributed systems. Candidates require a CS degree and 5+ years of production experience in Java, Scala, or C++ with cloud and security expertise.
The role involves building scalable backend infrastructure and services for the Databricks platform, focusing on resource management and distributed systems. Candidates require a CS degree and 5+ years of production experience in Java, Scala, or C++ with cloud and security expertise.
The role involves building and scaling backend infrastructure for the Databricks platform, including serverless systems and core cloud technologies. Candidates require a CS degree and 5+ years of production experience in distributed systems and cloud technologies.
The role involves building and maintaining backend services for Databricks' Lakehouse platform, focusing on distributed systems and data storage. Candidates must have a CS degree and 5+ years of production experience in Java, Scala, or C++.
The role involves building reliable, secure, and high-performance backend services for a data and AI infrastructure platform. Candidates must have a BS in Computer Science and 5+ years of production experience in Java, Scala, C++, or similar languages.
The role involves building backend infrastructure and products for the Databricks platform at scale. Candidates need a CS degree and 3+ years of production experience in Java, Scala, or C++ with distributed systems knowledge.
The role is a Senior Software Engineer position in the Engineering - Pipeline department at Databricks' new Vancouver R&D center. Candidates require a BS in Computer Science or equivalent, 5+ years of production experience in Java, Scala, or C++, and strong skills in distributed systems and cloud technologies.
The role involves building backend infrastructure for the Databricks platform at scale, focusing on cloud-agnostic abstractions and engineering efficiency. Candidates require a CS degree and 6+ years of production experience in distributed systems and backend languages.
The Senior Software Engineer on the Customer Foresight Team leads the development of observability products for AI and data workloads. The role requires 6+ years of production experience in Java, Scala, Python, C++, or similar languages, along with expertise in cloud technologies and large-scale distributed systems.
The role involves designing and implementing next-generation query engines and storage systems for Databricks' Lakehouse architecture. Candidates need a passion for database and distributed systems, with 5+ years of experience in related systems preferred.
The role involves designing and implementing next-generation query engines and storage systems for Databricks' Lakehouse architecture. Candidates need a passion for database and distributed systems, with 5+ years of experience in related systems preferred.
The role involves designing next-generation query engines and storage systems for Databricks. Candidates must have 5+ years of experience in database or distributed systems and produce technical design documents.
The role involves building next-generation distributed data storage and processing systems for the Runtime team at Databricks. Candidates must have 5+ years of production experience in Java, Scala, or C++ and a strong foundation in distributed systems.
The role involves building next-generation distributed data storage and processing systems on Databricks' Runtime team. Candidates require a BS in Computer Science or related field and 5+ years of production experience in Java, Scala, or C++.
The role involves building next-generation distributed data storage and processing systems for the Runtime team. Candidates require a BS in Computer Science or related field and 5+ years of production experience in Java, Scala, or C++.
The role involves driving design decisions and developing features for Databricks' data infrastructure in Belgrade. Candidates must have 5+ years of production experience in Java, Scala, or C++ and a strong foundation in distributed systems.
The role involves building full-stack data products and user experiences for Databricks' platform. Candidates must have 5+ years of experience with front-end and server-side technologies, along with knowledge of SQL and cloud infrastructure.
The role involves building full-stack data products and user experiences for Databricks' platform. Candidates must have 5+ years of experience with front-end and server-side technologies, SQL, and cloud infrastructure.
The role involves designing and maintaining full-stack web applications, including front-end components, RESTful APIs, and microservices. Candidates must have 5+ years of experience with modern JavaScript frameworks and server-side technologies, along with strong UI/UX design expertise.
The role is a Senior Software Engineer position focused on full-stack development for Databricks' data and AI infrastructure. Candidates must have a degree in Computer Science or a related field and at least five years of experience with HTML, CSS, and JavaScript.
The role is a Senior Software Engineer - Fullstack position at Databricks in Vancouver, Canada, focused on building scalable data and AI products. Candidates must have 5+ years of experience with front-end technologies like HTML, CSS, and JavaScript, as well as server-side technologies such as Node.js or Python.
The role involves building and extending Databricks' multi-cloud infrastructure platform, including Kubernetes cluster management and distributed API gateways. Candidates must have a CS degree and 5+ years of production coding experience in Java, Scala, Go, C++, or Python.
The role involves building scalable ingestion systems for Databricks Lakeflow Connect to process large volumes of data from various sources. Candidates need 5+ years of production experience in distributed systems and database internals, with a focus on low-level performance optimization.
The role involves designing and managing Money systems for billing, metering, and pricing across cloud providers. Candidates must have technical leadership experience in large-scale distributed services and data pipelines.
The Senior Software Engineer role focuses on building infrastructure for the Databricks platform at scale, specifically for multi-cloud efficiency. Candidates must have 6+ years of experience in distributed systems and cloud resource optimization.
The Senior Software Engineer role involves designing and maintaining SQL drivers and infrastructure for Databricks partner integrations. Candidates must have 5+ years of production experience in Java, Python, or Go, along with a background in open source communities.
This role involves creating the vision and strategy for Databricks' security engineering discipline to protect customer data. Candidates must have 5+ years of experience in data security and expertise in at least two specified security domains.
The role involves designing and operating a filesystem platform for data and AI workloads while setting technical direction for content organization. Candidates require a bachelor's degree and 5+ years of production experience in languages like Java or Scala, plus 3+ years in large-scale distributed systems.
The role involves building and scaling platform infrastructure, including CI/CD pipelines, deployment automation, and consent management systems for Databricks' web properties. Candidates must have 8+ years of software engineering experience and strong expertise in web platform infrastructure and production systems.
The Senior Software Engineer role focuses on building core systems for Databricks' AI Runtime, a serverless GPU training platform. Candidates must have 5+ years in large-scale distributed systems and experience with GPU training frameworks like FSDP or DeepSpeed.
The role involves designing and building a next-generation Serverless compute platform for Databricks, focusing on high availability, low latency, and multi-cloud abstraction. Candidates must have 5+ years of production experience in languages like Python or Java and 4+ years developing large-scale distributed systems.
The role involves designing and building high-throughput, low-latency inference systems for Databricks Model Serving across CPU and GPU workloads. Candidates must have 5+ years of experience in large-scale distributed systems and model serving infrastructure.
The role involves building backend connectivity services and leading the design of new services for Databricks' networking infrastructure in Bengaluru. Candidates must have 8+ years of production experience in languages like Python or Java, along with 4+ years developing large-scale distributed systems.
The role involves building intuitive and scalable end-to-end dashboard experiences for data exploration and sharing. Candidates must have 5+ years of experience and expertise in modern frontend development with React, TypeScript, and HTML/CSS.
The Senior Solutions Architect role involves defining technical strategy for large enterprise accounts to drive Databricks adoption and ML/AI integration. Candidates must have experience in value selling, technical leadership, and big data, with production programming skills in Python, R, Scala, or Java.
The Senior Solutions Architect role involves advising sales teams and customers on Databricks Lakehouse Platform solutions for data engineering and AI. Candidates must have 15+ years in data engineering or pre-sales and 10+ years with Big Data technologies like Apache Spark.
The Senior Solutions Architect role involves advising sales teams and customers on Databricks Lakehouse Platform solutions to achieve data-driven outcomes. Candidates must have 15+ years in data engineering or pre-sales and 10+ years with Big Data technologies like Apache Spark.
This role is a Senior Solutions Architect responsible for complex customer engagements, executive relationships, and technical strategy. Candidates must have 8+ years of experience, expert-level coding proficiency, and deep knowledge of enterprise data architecture and the Databricks platform.
The role is a Senior Solutions Architect responsible for complex customer engagements, executive relationships, and technical strategy in the banking sector. Candidates must have 8+ years of experience, expert-level coding proficiency in Python and SQL, and deep knowledge of enterprise data architecture and the Databricks platform.
The role is a Senior Solutions Architect responsible for complex customer engagements, executive relationships, and technical strategy for enterprise data and AI. Candidates must have 8+ years of experience, expert-level coding proficiency in Python and SQL, and deep knowledge of Databricks and distributed systems.
The role involves developing and driving product adoption for enterprise data warehouse migrations to the Databricks platform across EMEA. Candidates must have 8+ years of customer-facing pre-sales or architect experience and expertise in legacy EDW systems and Lakehouse architecture.
The role involves developing and driving product adoption for enterprise data warehouse migrations to the Databricks platform across EMEA. Candidates must have 8+ years of customer-facing pre-sales or architect experience and expertise in legacy EDW systems and Lakehouse architecture.
The role involves developing and driving product adoption for enterprise data warehouse migrations to the Databricks platform across EMEA. Candidates must have 8+ years of customer-facing pre-sales or architect experience and expertise in legacy EDW systems and Lakehouse architecture.
The role involves developing and driving product adoption for enterprise data warehouse migrations to the Databricks platform across EMEA. Candidates must have 8+ years of customer-facing pre-sales or architect experience and expertise in legacy EDW systems and Lakehouse architecture.
The role involves developing and driving product adoption for enterprise data warehouse migrations to the Databricks platform across EMEA. Candidates must have 8+ years of customer-facing pre-sales or architect experience and expertise in legacy EDW systems and Lakehouse architecture.
The Senior Solutions Architect (Lakebase) role involves partnering with account teams to design and deliver client-facing solutions for Databricks' Lakebase product line. Candidates must have 10+ years of transactional database (OLTP) expertise and experience architecting solutions within Big Data and AI ecosystems.
The role involves driving technical and consumption strategy for complex life science accounts at Databricks. Candidates must have 8+ years of experience in global solutions architecture and strong hands-on skills in Python, SQL, and Spark.
The role is a Senior Solutions Architect responsible for complex customer engagements, executive relationships, and technical strategy for the Databricks platform. Candidates must have 8+ years of experience, expert-level coding proficiency in Python and SQL, and deep knowledge of enterprise data architecture.
This role involves leading complex customer engagements and driving consumption strategy for Databricks in the Nordics region. Candidates must have 8+ years of experience in solutions architecture and expert-level proficiency in Python, SQL, and Spark.
This role is a Senior Solutions Architect position focused on driving technical strategy and executive relationships for Digital Native customers in the Nordics. Candidates must have 8+ years of experience, expert-level coding proficiency in Python and SQL, and deep expertise in enterprise data technologies and cloud platforms.
The role involves executing Databricks' Product Operating Model for Lakebase by partnering with account teams to drive product adoption in a specific local region. Candidates must possess 10+ years of OLTP expertise and 6+ years in customer-facing pre-sales roles, with proficiency in SQL, Python, and public cloud environments.
This role is a Senior Solutions Architect responsible for complex customer engagements, executive relationships, and technical strategy for the Databricks platform. Candidates must have 8+ years of experience, expert-level coding proficiency in Python and SQL, and deep knowledge of enterprise data architecture.
The role involves architecting production-grade ML and AI workloads for enterprise customers on the Databricks platform. Candidates must have 10+ years of hands-on experience in Data Science or Machine Learning, with expertise in LLMs, GenAI, and MLOps.
The role involves guiding enterprise customers through the architecture, administration, and security of Databricks deployments on AWS, Azure, or GCP. Candidates must have 8+ years of experience in solutions architecture and advanced expertise in cloud security, networking, and infrastructure automation.
The role involves advising enterprise customers on Databricks architecture, administration, and security across AWS, Azure, and GCP. Candidates need 4+ years in solutions architecture or network architecture, with strong expertise in cloud networking, security, and infrastructure automation.
This role involves building a zero-to-one retrieval stack and search subagents for Databricks agents. Candidates must have 10+ years of experience in production retrieval, search, or RAG systems at scale.
The role is a Senior Staff Software Engineer (Backend) in Bengaluru, India, focused on building and maintaining large-scale distributed systems for Databricks' data and AI platform. Candidates must have 15+ years of experience, strong algorithmic foundations, and the ability to mentor engineers and lead complex technical projects.
The role is a Senior Staff Software Engineer (Backend) in Bengaluru, India, focused on building and maintaining large-scale distributed systems for Databricks' data and AI platform. Candidates must have 15+ years of experience, strong algorithmic foundations, and the ability to mentor engineers and lead complex technical projects.
The Senior Staff Software Engineer defines the vision and architecture for Databricks' application and partner ecosystem. The role requires 10+ years of experience in data-intensive systems, database expertise, and API design, along with strong leadership skills to mentor engineers and drive cross-functional initiatives.
The role is a Senior Staff Software Engineer position in Databricks' Engineering team, focused on backend infrastructure and large-scale distributed systems. Candidates must have 15+ years of experience, strong algorithmic foundations, and the ability to mentor senior engineers and lead complex technical projects.
The role involves designing and maintaining robust backend systems for Databricks workspaces, focusing on high QPS and low latency. Candidates must have 15+ years of experience building large-scale distributed systems and provide technical leadership to junior engineers.
The role involves designing and maintaining robust backend systems for Databricks workspaces, focusing on high QPS and low latency. Candidates must have 15+ years of experience building large-scale distributed systems and provide technical leadership to junior engineers.
The role involves designing and maintaining robust backend systems for Databricks workspaces, focusing on high QPS and low latency. Candidates must have 15+ years of experience building large-scale distributed systems and provide technical leadership to junior engineers.
The role involves designing and maintaining robust backend systems for Databricks workspaces, focusing on high QPS and low latency. Candidates must have 15+ years of experience building large-scale distributed systems and provide technical leadership to junior engineers.
The role involves designing and maintaining robust backend systems for Databricks workspaces, focusing on high QPS and low latency. Candidates must have 15+ years of experience building large-scale distributed systems and provide technical leadership to junior engineers.
The role is a Senior Staff Software Engineer leading the Materialized Views engineering team at Databricks. Candidates must have 15+ years of experience building large-scale distributed systems and a strong foundation in algorithms and data structures.
This role involves creating the vision and strategy for Databricks' security engineering discipline to protect customer data. Candidates must have 9+ years of experience in Data Security and expertise in at least two specified areas, along with 15+ years building large-scale distributed systems.
This role involves creating the vision and strategy for Databricks' security engineering discipline to protect customer data. Candidates must have 9+ years of experience in Data Security and expertise in at least two specified areas, along with 15+ years building large-scale distributed systems.
The role is a Senior Staff Software Engineer position focused on architectural leadership for Databricks' Lakeflow Pipelines and Datasets. Candidates must have 10+ years of experience in large-scale distributed systems and deep expertise in areas such as database internals, storage, or streaming.
This role involves creating the vision and strategy for Databricks' security infrastructure to protect customer data. Candidates must have 9+ years of experience in Data Security and expertise in at least two specified security domains.
This role involves creating the vision and strategy for Databricks' security infrastructure to protect customer data. Candidates must have 9+ years of experience in Data Security and expertise in at least two specified security domains.
This role involves driving the architecture and long-term technical direction of Databricks' AI Runtime, a serverless GPU training platform. Candidates must have 15+ years of experience in large-scale distributed systems and deep expertise in GPU training, high-performance computing, or ML systems.
The role involves designing large-scale connectivity platforms for Databricks' networking infrastructure across multiple clouds. Candidates must have 15+ years of production experience in languages like Rust or Java and 10+ years building distributed systems.
The role involves owning search quality for AI agents and human users by optimizing hybrid retrieval and ranking models. Candidates must have expertise in Lucene/Elasticsearch, embeddings, and relevance metrics like nDCG and MRR.
The Senior Support Engineer (GovOps) role involves handling complex technical escalations and maintaining platform reliability across GovCloud and air-gapped environments. Candidates must possess a TS/SCI clearance, a bachelor's degree, and five years of experience in systems engineering or cloud infrastructure.
The role is a Senior Technical Solutions Engineer for the Platform Support team, requiring 7+ years of experience with Databricks and cloud data platforms. Candidates must troubleshoot complex issues, manage high-priority incidents, and collaborate with engineering and customer teams.
This role involves owning systems for defining and measuring technical capability across Databricks learner audiences. The architect will build a capability model and AI-native tooling to maintain skills taxonomies and track capability drift.
The role involves building backend infrastructure for the Databricks platform at scale, focusing on cloud-agnostic abstractions and engineering efficiency. Candidates require 2+ years of professional software development experience or a PhD, along with proficiency in backend languages such as Java, Scala, or Go.
The role involves building reliable, secure, and high-performance backend services for data storage and access on cloud platforms. Candidates must have a BS in Computer Science and at least three years of production experience in Java, Scala, or C++.
The role involves building backend infrastructure and products for the Databricks platform at scale. Candidates need a CS degree and two years of production experience in Java, Scala, or C++ with distributed systems knowledge.
The role involves designing next-generation query engines and storage systems for Databricks, focusing on areas like query optimization and distributed execution. Candidates must have 5+ years of experience in related systems and be comfortable working towards a multi-year vision.
The role involves developing features for Databricks' data and AI infrastructure, including the Storage and Query Engines. Candidates must have 3+ years of production experience in Java, Scala, or C++ and a strong foundation in distributed systems.
This role is for a new graduate software engineer joining Databricks to build infrastructure and products for its data and AI platform. Candidates must graduate in fall 2026 or spring 2027 with a degree in Computer Science or a related field and possess implementation skills in languages such as Python, Java, or C++.
This role is a new graduate Software Engineer position focused on distributed data systems, query optimization, and storage structures. Candidates must graduate in Fall 2026 or Spring 2027 with a degree in Computer Science or Engineering and possess implementation skills in Java or C++.
The role involves building resilient, scalable, and automated infrastructure for Databricks' IT CorpEng team. Candidates must have 3-5 years of software engineering experience with strong Python proficiency and expertise in AWS, Kubernetes, and Infrastructure as Code.
This role involves building resilient, scalable, and automated infrastructure for Databricks' IT CorpEng team. Candidates must have strong software engineering skills, proficiency in Python, and experience with cloud platforms, Kubernetes, and Infrastructure as Code.
The role involves building and shipping production-quality web experiences for Databricks public-facing properties on an AI native platform. Candidates must have 4+ years of software engineering experience with strong fundamentals in the web stack and experience with content management systems.
The role involves building and shipping production-quality web experiences for Databricks public-facing properties on an AI native platform. Candidates must have 4+ years of software engineering experience with strong fundamentals in the web stack and experience with content management systems.
This role is a Software Engineering Internship at Databricks in Aarhus, Denmark, where candidates build features for the company's data and AI platform. Candidates must graduate between fall 2027 and summer 2028 with a degree in Computer Science or a related field.
This role is a 12-week Summer internship at Databricks in Amsterdam where candidates build features for the platform. Candidates must graduate between fall 2027 and Summer 2028 with a degree in Computer Science or a related subject.
This role is a Software Engineering Internship at Databricks in Belgrade, Serbia, where candidates build features for the company's data and AI platform. Candidates must graduate between fall 2027 and summer 2028 with a degree in Computer Science or a related field.
This role is a 12-week Summer internship at Databricks in Berlin where candidates build features for the company's data and AI platform. Candidates must graduate between fall 2027 and summer 2028 with a degree in Computer Science or a related subject.
This role is a 12-week Summer internship at Databricks in London, where interns build features for the platform under a dedicated mentor. Candidates must graduate between Autumn 2027 and Summer 2028 with a degree in Computer Science, Engineering, or a related subject.
This role is a Software Engineering Intern position at Databricks where candidates join a team to build features for the platform. Candidates must graduate in fall 2027 or spring 2028 with a degree in Computer Science, Engineering, or a related subject.
The role involves partnering with customers to design scalable data architectures using Databricks technology and driving complex technology discussions. Candidates must have 5+ years of experience in pre-sales or technical architecture and expertise in big data engineering, data warehousing, or data science.
The Solutions Architect role requires an experienced pre-sales professional to define technical strategy for large enterprise accounts in São Paulo. Candidates must have a strong background in value selling, technical account management, and technical leadership to drive ML and AI adoption.
The Solutions Architect role requires an experienced pre-sales professional to define technical strategy for large enterprise accounts in Mexico City. Candidates must have a strong background in value selling, technical account management, and technical leadership to drive ML and AI adoption.
The role involves acting as a trusted technical advisor to Databricks customers in Queensland, developing customized solutions and reference architectures for the Data Intelligence Platform. Candidates must have prior coding experience in a core language, proficiency in big data analytics, and the ability to deliver complex solution architecture designs.
The role involves developing customer engagement strategies and coaching junior architects to promote the Databricks Data Intelligence Platform. Candidates must influence stakeholders and provide technical solutions for complex data analytics architecture and design.
The role involves defining technical strategy for large enterprise accounts to drive adoption of Databricks' ML and AI products. Candidates must have experience in value selling, technical account management, and production programming in Python, R, Scala, or Java.
This role involves acting as a trusted technical advisor to Databricks customers in Seoul, developing customized solutions and reference architectures for the Data Intelligence Platform. Candidates must have prior coding experience in a core language, proficiency in big data analytics, and native-level Korean.
The role involves acting as a trusted technical advisor to customers in Munich, developing customized solutions and reference architectures for the Databricks Data Intelligence Platform. Candidates must have prior coding experience in a core language, proficiency in big data analytics, and the ability to deliver complex solution architecture designs.
The Solutions Architect role involves leading technical strategy for customers and owning architecture discussions to drive Databricks platform adoption. Candidates must have 6+ years of experience in solutions architecture or data engineering, with strong proficiency in Python and SQL.
The role involves acting as a trusted technical advisor to customers in Melbourne, demonstrating how the Databricks platform solves complex data challenges. Candidates must have prior coding experience in a core language and proficiency with big data analytics technologies to design and deliver solution architectures.
The Solutions Architect role involves advising strategic accounts on data and AI strategies using the Databricks platform. Candidates must have 12+ years of experience in data engineering or architecture and 8+ years with Big Data technologies.
The role involves acting as a trusted technical advisor to customers in the Adelaide territory, demonstrating how the Databricks platform solves complex data challenges. Candidates must have prior coding experience in a core language and proficiency with big data analytics technologies to design and deliver solution architectures.
The role involves defining technical strategy for large enterprise accounts to drive adoption of Databricks and ML & AI solutions. Candidates must have experience in value selling, technical leadership, and big data, with production programming skills in Python, R, Scala, or Java.
The Solutions Architect role involves leading technical strategy and owning architecture discussions for customers. Candidates must have 6+ years of experience, strong Python and SQL skills, and deep expertise in distributed data systems.
The role involves defining technical strategy for large enterprise accounts to drive adoption of Databricks' ML and AI products. Candidates must have experience in value selling, technical leadership, and big data, with production programming skills in Python, R, Scala, or Java.
The role involves leading technical strategy for customers by owning architecture discussions and driving platform adoption on the Databricks platform. Candidates must have 6+ years of experience in solutions architecture or data engineering, with strong proficiency in Python and SQL.
The Solutions Architect (Genie) role involves partnering with Account Executives to drive product adoption and technical strategy for Databricks' Genie product line. Candidates must have 6+ years in pre-sales or consulting, with expertise in SQL, Python, and public cloud environments.
The Solutions Architect (Lakebase) role involves partnering with Account Executives to design and deliver technical strategies for Databricks' Lakebase product line. Candidates must possess 10+ years of OLTP expertise and 6+ years in customer-facing pre-sales or consulting roles.
The role involves leading technical strategy for customers in the Media, Entertainment, and Agencies sector, focusing on Databricks platform adoption and architecture. Candidates must have 6+ years of experience in solutions architecture or data engineering, with strong Python and SQL skills.
The role involves acting as a trusted technical advisor to Databricks customers in Portugal, developing custom solutions and reference architectures for the Data Intelligence Platform. Candidates must have native Portuguese, business English, prior coding experience, and proficiency in big data analytics technologies.
This role involves leading technical strategy and architecture discussions for Benelux strategic accounts, focusing on Databricks platform adoption and data/AI solutions. Candidates must have 6+ years of experience in solutions architecture or pre-sales, with strong Python and SQL skills and expertise in distributed data systems.
The role involves developing technical strategies and executing pre-sales engagements for automotive and manufacturing customers in Japan. Candidates must design Databricks and cloud solutions, lead proof-of-concepts, and possess business-professional Japanese and business-level English.
The Solutions Architect role leads technical strategy for customers, owning architecture discussions and driving Databricks platform adoption. Candidates must have 6+ years of experience in solutions architecture or data engineering, with strong Python and SQL coding skills.
The role involves leading technical strategy for customers in the Communications, Media, Entertainment & Gaming sector, owning architecture discussions and driving platform adoption. Candidates must have 6+ years of experience in solutions architecture or data engineering, with strong Python and SQL coding skills and expertise in distributed data systems.
The role involves leading technical strategy for customers in the Communications, Media, Entertainment, and Games sector, focusing on data and AI architecture. Candidates must have 6+ years of experience in solutions architecture or related technical roles, with strong proficiency in Python, SQL, and distributed data systems.
This role involves leading technical strategy for customers in the communications, media, entertainment, and games sectors, focusing on data and AI solutions. Candidates must have six or more years of experience in solutions architecture or a senior technical role, with strong proficiency in Python and SQL.
The role involves leading technical strategy for customers in the Communications, Media, Entertainment, and Games sector, focusing on data and AI architecture. Candidates must have 6+ years of experience in solutions architecture or related technical roles, with strong proficiency in Python, SQL, and distributed data systems.
The role involves leading technical strategy for customers in the Communications, Media, Entertainment, and Games sector, focusing on data and AI architecture. Candidates must have 6+ years of experience in solutions architecture or related technical roles, with strong proficiency in Python, SQL, and distributed data systems.
The role involves leading technical strategy for customers in the Communications, Media, Entertainment, and Games sector, focusing on data and AI architecture. Candidates must have 6+ years of experience in solutions architecture or related technical roles, with strong proficiency in Python, SQL, and distributed data systems.
The role involves leading technical strategy for customers in the Communications, Media, Entertainment, and Games sector, focusing on data and AI architecture. Candidates must have 6+ years of experience in solutions architecture or related technical roles, with strong proficiency in Python, SQL, and distributed data systems.
This role involves leading the adoption of the Databricks Unified Analytics Platform by developing architectures and guiding customers through implementations. Candidates must have 4+ years in customer-facing pre-sales or technical architecture roles and experience designing distributed data systems.
This role leads technical strategy for CPG customers, owning architecture discussions and driving Databricks platform adoption. Candidates must have 6+ years of experience in solutions architecture or data engineering, with strong Python and SQL coding skills.
The role involves shaping the Data & AI landscape by advising sales teams and customers on Databricks Lakehouse Platform solutions. Candidates must have 8+ years in data engineering, data science, or technical architecture, with strong Big Data and coding experience.
The role involves owning end-to-end technical strategy for CPG and Manufacturing customers, driving platform adoption, and leading architecture discussions for data and AI solutions. Candidates require 6+ years of experience in solutions architecture or related fields, deep expertise in modern data and AI architectures, and proficiency on the Databricks Platform.
The role involves developing data architectures and solutions for customers using Databricks platform and APIs. Candidates must have 5+ years in data engineering or pre-sales, with experience in Python, SQL, and public cloud providers.
The Solutions Architect role leads technical strategy for Fintech customers, owning architecture discussions and driving Databricks platform adoption. Candidates must have 6+ years of experience, strong Python and SQL skills, and expertise in distributed data systems and cloud deployments.
The Solutions Architect role leads technical strategy for Healthtech customers, owning architecture discussions and driving Databricks platform adoption. Candidates must have 6+ years of experience in solutions architecture or data engineering, with strong Python and SQL coding skills.
The role involves developing data architectures and solutions for Databricks customers using the company's platform and APIs. Candidates must have 5+ years of experience in data engineering or architecture and proficiency in Python and SQL.
The role involves leading technical strategy for named accounts and owning end-to-end architecture discussions for data and AI solutions. Candidates must have 6+ years of experience in solutions architecture or related technical roles, with strong proficiency in Python, SQL, and distributed data systems.
This role involves acting as a trusted technical advisor to Digital Natives and Startups, demonstrating how the Databricks platform solves complex data challenges. Candidates must have at least seven years of pre-sales or solution consulting experience and proficiency in coding, big data analytics, and public cloud platforms.
This role involves leading the adoption of the Databricks Unified Analytics Platform by developing architectures and guiding customers through implementations. Candidates must have 3+ years in customer-facing pre-sales or technical architecture roles and experience designing distributed data systems.
This role involves leading the adoption of the Databricks Unified Analytics Platform by developing architectures and guiding customers through implementations. Candidates must have 5+ years in customer-facing pre-sales or technical architecture and experience designing distributed data systems.
The role is a pre-sales Solutions Architect for Databricks in Toronto, focused on defining technical strategy for large financial services and insurance accounts. Candidates must have 5+ years of customer-facing presales experience in the FSI domain and proficiency in big data, data science, and cloud technologies.
This role involves leading the growth of the Databricks Unified Analytics Platform by developing customer-facing architectures and solutions. Candidates must have 7+ years of experience in pre-sales or technical architecture and proficiency in Python, Scala, Java, SQL, or R.
The Solutions Architect role leads technical strategy for financial services customers, owning architecture discussions and driving Databricks platform adoption. Candidates must have 6+ years of experience, strong Python and SQL coding skills, and deep expertise in distributed data systems and cloud-native platforms.
This role involves leading the growth of the Databricks Data Intelligence Platform by developing customer-facing architectures and solutions. Candidates must have 7+ years in pre-sales or consulting, with expertise in cloud platforms, data engineering, and open-source projects like Apache Spark.
The role involves defining technical strategy for large enterprise accounts in the Financial Services and Insurance sectors to drive adoption of Databricks and ML & AI solutions. Candidates must have 7+ years of experience in data and AI, technical expertise in big data and cloud, and production programming skills in Python, R, Scala, or Java.
This role leads technical strategy for customers, owning architecture discussions and driving platform adoption on the Databricks platform. Candidates must have 6+ years of experience in solutions architecture or data engineering, with strong Python and SQL coding skills.
This role leads technical strategy for customers, owning architecture discussions and driving platform adoption on the Databricks platform. Candidates must have 6+ years of experience in solutions architecture or data engineering, with strong Python and SQL coding skills.
This role involves defining technical strategy for large healthcare and life sciences accounts to drive Databricks adoption. Candidates must have experience in pre-sales, value selling, and technical leadership with a background in big data, data science, and cloud technologies.
This role involves defining technical strategy for large healthcare and life sciences accounts to drive Databricks adoption. Candidates must have experience in pre-sales, value selling, and technical leadership with a background in big data, data science, and cloud technologies.
The Solutions Architect (Lakebase) role involves partnering with Account Executives to drive product adoption and technical strategy for Databricks' Lakebase line. Candidates must have 10+ years of OLTP expertise and 6+ years in customer-facing pre-sales or consulting roles.
The role involves partnering with account teams to position the Lakebase product line and drive client adoption in a specific region. Candidates must have 10+ years of OLTP expertise and 6+ years in customer-facing pre-sales or consulting roles.
The role involves defining technical strategy for large enterprise accounts in the High Tech and Manufacturing sectors to drive adoption of Databricks' ML and AI products. Candidates must have experience in value selling, technical account management, and production programming in Python, R, Scala, or Java.
The Solutions Architect role defines technical strategy for large enterprise accounts to drive adoption of Databricks products and ML & AI. Candidates must have experience in data engineering, cloud data warehousing, or data science, along with production programming expertise in Python, R, Scala, or Java.
This role involves partnering with customers to design scalable data architectures using Databricks technology and driving complex technology discussions. Candidates must have 7+ years of experience in pre-sales or technical architecture and expertise in big data, data warehousing, or machine learning.
The role involves shaping the Data & AI landscape by advising sales teams and customers on Databricks Lakehouse Platform solutions. Candidates must have 8+ years in data engineering, data science, or technical architecture, with strong Big Data and coding experience.
The role involves leading technical strategy for public sector customers by owning architecture discussions and driving Databricks platform adoption. Candidates must have 7+ years of experience in solutions architecture or data engineering, with strong Python and SQL coding skills.
This role involves leading the growth of the Databricks Unified Analytics Platform by developing customer-facing architectures and solutions. Candidates must have six or more years of experience in pre-sales, technical architecture, or consulting, along with expertise in distributed data systems and public cloud providers.
This role leads technical strategy for customers, owning architecture discussions and driving Databricks platform adoption. Candidates must have 6+ years of experience in solutions architecture or data engineering, with strong Python and SQL coding skills.
The role involves leading technical strategy for customers by owning architecture discussions and driving Databricks platform adoption. Candidates must have 6+ years of experience in solutions architecture or data engineering, with strong Python and SQL coding skills.
This role leads technical strategy for customers by owning architecture discussions and driving Databricks platform adoption. Candidates must have 6+ years of experience in solutions architecture or data engineering, with strong Python and SQL coding skills.
This role involves defining technical strategy for large retail and CPG accounts to drive Databricks adoption and ML/AI implementation. Candidates must have 5+ years in large enterprise pre-sales and 3+ years with big data technologies like Hadoop and NoSQL.
The Strategic Solutions Architect role involves developing data architectures and guiding AI-native customers on Databricks platforms. Candidates must have 5+ years in data engineering or pre-sales, with proficiency in Python, SQL, and public cloud providers.
The Solutions Architect role leads technical strategy for customers, owning architecture discussions and driving Databricks platform adoption. Candidates must have 6+ years of experience in solutions architecture or data engineering, with strong Python and SQL coding skills.
The role involves leading technical strategy for Databricks customers in Italy's Digital Natives and Scaleups segment, focusing on architecture discussions and platform adoption. Candidates must have 6+ years of experience in solutions architecture or data engineering, with strong Python and SQL skills.
The role involves leading technical strategy for Greenfield customers and owning architecture discussions for data and AI solutions. Candidates must have 6+ years of experience, strong Python and SQL skills, and deep expertise in distributed data systems.
The role involves leading technical strategy for customers by owning architecture discussions and driving Databricks platform adoption. Candidates must have 6+ years of experience in solutions architecture or data engineering, with strong Python and SQL coding skills.
The role involves leading technical strategy for customers in the Madrid region, owning architecture discussions, and driving Databricks platform adoption. Candidates must have 6+ years of experience in solutions architecture or data engineering, with strong Python and SQL skills.
This role involves engaging technical leaders at startups to design data and AI architectures and lead the technical sales motion. Candidates must have five years of customer-facing experience and hands-on programming skills in Python, SQL, Scala, or Java.
The Solutions Architect role leads technical strategy for public sector healthcare customers, owning architecture discussions and driving Databricks platform adoption. Candidates require 6+ years of experience, strong Python and SQL coding skills, and expertise in distributed data systems and cloud-native platforms.
The Solutions Engineer role involves building working prototypes and demos to help customers tackle data challenges on the Databricks platform. Candidates must have at least one year of customer-facing technical experience and a bachelor's degree in a relevant field.
The Solutions Engineer role involves building working prototypes and advising customer teams on Databricks platform adoption in New York City. Candidates must have 2+ years of customer-facing solutions engineering experience and a bachelor's degree in a relevant technical field.
The Solutions Engineer role involves building working prototypes and advising customer teams on Databricks platform adoption in Chicago. Candidates must have 2+ years of customer-facing solutions engineering experience and a bachelor's degree in a relevant technical field.
The role involves guiding customers in cloud data warehousing transformation using Databricks, requiring hands-on production experience with large-scale data warehousing and lakehouse architecture. Candidates must have 5+ years of technical experience in data warehousing, SQL, and Python, along with 2 years of customer-facing experience.
The role involves guiding customers in building big data solutions on Databricks with a focus on security and cloud infrastructure. Candidates must have hands-on production experience with cloud technologies and big data systems, along with pre-sales or post-sales client experience.
The role involves architecting production-grade ML and AI applications on Databricks for customers and the Field Engineering organization. Candidates must have 5+ years of hands-on industry ML experience and a graduate degree in a quantitative discipline.
The role involves architecting production-grade ML and AI applications on Databricks for customers and the Field Engineering organization. Candidates must have 5+ years of hands-on industry ML experience and a graduate degree in a quantitative discipline.
The role leads advanced AI/ML technical strategy for customers, owning complex architecture discussions and driving platform adoption. Candidates must have 6+ years of experience in solutions architecture or senior technical roles, with strong Python, SQL, and cloud infrastructure skills.
This role serves as a technical advisor guiding enterprise customers through Databricks architecture and AI deployment on AWS. Candidates must have six years of experience in solutions architecture and strong expertise in cloud infrastructure, security, and automation.
This role serves as a technical advisor guiding enterprise customers through Databricks architecture and AI deployment on Microsoft Azure. Candidates must have six or more years of experience in solutions architecture and strong expertise in Azure infrastructure, networking, and identity management.
This role involves designing and optimizing production-grade data workloads on the Databricks platform using Apache Spark and streaming frameworks. Candidates must have 5+ years of data engineering experience and proficiency in Python, SQL, and Scala or Java.
The role leads advanced technical strategy for data engineering and warehousing customers, owning architecture discussions and platform adoption. Candidates require 6+ years of experience in solutions architecture, deep expertise in Apache Spark and data warehousing, and strong Python and SQL skills.
This role guides customers in building secure big data solutions on Databricks, requiring hands-on experience in security reviews and cloud infrastructure. Candidates must have 5+ years in pre-sales or post-sales and 3+ years designing cloud infrastructure with security best practices.
This role involves partnering with Field and Engineering teams to provide specialized technical support and tailored solutions for Databricks' largest customers. The position requires leveraging expertise in Apache Spark and data technologies to resolve complex product issues and unblock critical technical challenges.
The role is a senior platform monitoring engineer responsible for leading incident investigations and designing observability solutions. Candidates must have at least six years of experience in SRE or DevOps roles and proficiency in cloud providers and monitoring tools.
This role leads strategy and delivery for a new People Pod, building agentic workflows to unify the employee experience. Candidates need 5+ years of product management experience, HR domain expertise, and technical fluency in AI and data platforms.
This role involves designing and operating secure cloud infrastructure, IAM, and automation across AWS, Azure, and GCP for regulated public sector environments. Candidates must have 5+ years of production engineering experience and an active TS/SCI security clearance.
The role involves designing and deploying scalable AI agents and full-stack applications using LLMs, React, and Python. Candidates must have 5+ years of full-stack experience and proven deployment of production AI agents.
The role involves building backend infrastructure for the Databricks platform at scale, focusing on cloud-agnostic abstractions and engineering efficiency. Candidates require a CS degree and 6+ years of production experience in distributed systems and backend languages.
The role involves designing and scaling distributed backend systems for Databricks' public sector data platform in sovereign and air-gapped cloud environments. Candidates must have 6+ years of software development experience and strong production-level proficiency in Java, Scala, Go, or C++.
The role involves building robust, scalable front-end products for data pipelines and user experiences at Databricks. Candidates must have 5+ years of experience with HTML, CSS, and JavaScript, along with modern frameworks like React.
This role involves architecting and automating production-grade infrastructure on AWS using Terraform or Pulumi. The engineer will manage Kubernetes workloads, build CI/CD pipelines, and mentor junior team members.
The role involves architecting and delivering Databricks' AI-native vertical workflow platform for Customer Experience Intelligence. Candidates must have extensive full-stack development experience and a strong understanding of distributed systems and multi-cloud environments.
The role involves architecting and delivering Databricks' AI-native vertical workflow platform for Customer Experience Intelligence. Candidates must have extensive backend development experience, familiarity with distributed systems, and hands-on experience with LLM orchestration or agentic automation.
The role involves designing and automating networking foundations for large-scale compute clusters across major cloud providers. Candidates must have 5+ years of production-level experience in languages like Python or Java and 4+ years developing large-scale distributed systems.
The role involves designing and automating networking foundations for large-scale compute clusters across major cloud providers. Candidates must have 5+ years of production-level experience in languages like Python or Java and 4+ years developing large-scale distributed systems.
This role involves designing and operating secure cloud infrastructure, IAM, and automation across AWS, Azure, and GCP for regulated public sector environments. Candidates must have 12+ years of experience, a TS/SCI clearance, and expertise in Infrastructure-as-Code and security compliance.
The role is a Senior Staff Software Engineer (Backend) in Bengaluru, India, focused on building and maintaining large-scale distributed systems for Databricks' data and AI platform. Candidates must have 15+ years of experience, strong algorithmic foundations, and the ability to mentor engineers and lead complex technical projects.
This role serves as the chief architect of Databricks' internal operational ecosystem, leading the creation of a formal Operational Association. The position requires a strategic thinker with at least nine years of experience in management consulting, product strategy, or operations to design frameworks aligning engineering, product, and GTM.
This role serves as the chief architect of Databricks' internal operational ecosystem, leading the creation of a formal Operational Association. The position requires a strategic thinker with at least nine years of experience in management consulting, product strategy, or operations to design frameworks aligning engineering, product, and GTM.
The role is a Senior Staff Technical Program Manager responsible for leading a company-wide portfolio of security programs across Trust & Safety, Identity, and Platform Security. Candidates must have 10+ years of technical program management experience and a Bachelor's degree in Computer Science or equivalent technical experience.
The role is a Senior Staff Technical Program Manager responsible for leading a company-wide portfolio of security programs across Trust & Safety, Identity, and Platform Security. Candidates must have 10+ years of technical program management experience and the ability to align executive-level organizations on security strategy.
The role involves ensuring platform reliability and unblocking secure engineering pipelines for Databricks' multi-cloud data enclaves in air-gapped environments. Candidates must have a Top Secret clearance, 5+ years of experience in systems or cloud engineering, and proficiency in Python, Go, Bash, or Java.
The Sr Video Producer role manages video production projects from ideation to delivery for Databricks' Media Productions team. Candidates require 8+ years of web-based video experience and proficiency with Adobe Creative Cloud.
This role involves owning a portfolio of AI agent workflows to automate Sales Operations processes and drive systems improvement. Candidates must have 5-8 years of experience in operations or business process automation and strong systems fluency.
The Sr. Alliance Director leads the Global GCP Cloud Alliance team to design and scale a Go-To-Market strategy for Databricks on GCP. The role requires 15+ years of experience in business development, enterprise sales, or go-to-market strategy, along with 5+ years of team leadership experience.
The Senior Automation Engineer role focuses on building AI-powered automation for IT asset management, including laptop provisioning and SaaS license lifecycle management. Candidates must have 5+ years of experience in automation engineering and hands-on experience with LLM tools and IT platform integrations.
The Senior Collections Analyst owns a high-volume accounts receivable portfolio in a usage-based SaaS business, driving timely collections and reducing delinquency. The role requires 10+ years of collections experience, a Bachelor's degree in Finance or Accounting, and hands-on experience with NetSuite or Salesforce.
This role involves developing and managing international partner and channel programs for Databricks' go-to-market legal team. Candidates must have over 8 years of legal experience, a J.D., and strong skills in contract negotiation and compliance across multiple jurisdictions.
This role involves leading complex commercial transactions and negotiations for Databricks' Healthcare and Life Sciences sales teams. Candidates must have 7+ years of technology transactions experience and strong knowledge of HIPAA, data privacy, and security requirements.
The Senior Counsel, Employment provides legal advice to Databricks on HR AI adoption, compensation, benefits, pay equity, global mobility, and M&A. The role requires a JD, state bar membership, and 10+ years of relevant employment-law experience with strong project-management skills.
The Senior Counsel, Privacy Compliance role involves owning and maturing Databricks' privacy program while providing legal advice on global privacy and AI laws. Candidates must have 7+ years of legal experience, 5+ years focused on privacy, and demonstrated experience building or leading a privacy compliance program.
The Senior Product Counsel provides legal advice to engineering and product management teams on data privacy, protection, and AI regulations. The role requires 8+ years of legal experience, with at least 2 years focused on product, privacy, or IP law, and state bar membership.
The Senior Product Counsel provides legal advice to engineering and product management teams on data privacy, protection, and AI regulations. The role requires 8+ years of legal experience, with at least 2 years focused on product, privacy, or IP law, and state bar membership.
The Senior Counsel, Regulatory role leads Databricks' response to global regulatory frameworks outside privacy and export controls. Candidates must have at least 8 years of legal experience, a J.D., and expertise in technology or regulatory matters.
The role involves partnering with Sales and Engineering to design and scale complex data and AI solutions for high-value customers. Candidates must have 8+ years of experience in solutions architecture and demonstrate strong technical leadership and stakeholder management skills.
The Sr. Delivery Solutions Architect role involves leading post-sale technical strategy and execution for complex Databricks customers. Candidates must have 8+ years of experience in Data and AI project delivery, along with programming skills in Python, SQL, or Scala.
The Sr. Delivery Solutions Architect partners with Sales and Field Engineering to design and scale complex data and AI solutions for high-value customers. The role requires 8+ years of experience in solutions architecture, strong coding proficiency, and the ability to lead technical strategy across multiple business units.
The role involves leading post-sale technical strategy and execution for Databricks in the Greater China region, focusing on customer success and platform adoption. Candidates must have 8+ years of experience in data and AI delivery, proficiency in Mandarin, and strong technical and commercial skills.
The role is a Deployment Strategist for the FDE team, acting as a product manager to bridge customer business problems with Databricks technical solutions. Candidates must have executive presence, product judgment, technical fluency in data and AI architectures, and hands-on coding skills.
The role is a Deployment Strategist for the FDE team, acting as a product manager to bridge customer business problems with Databricks technical solutions. Candidates must have executive presence, product judgment, technical fluency in data and AI architectures, and hands-on coding skills.
The role involves acting as a product manager for customer problems, bridging business needs with technical solutions from discovery to production launch. Candidates must possess executive presence, product judgment, technical fluency in data and AI architectures, and hands-on coding skills.
The role is a Sr. Deployment Strategist for the FDE team, acting as a product manager to bridge customer business problems with Databricks technical solutions. Candidates must have executive presence, product judgment, technical fluency in data and AI architectures, and hands-on coding skills.
The role is a Sr. Deployment Strategist for the FDE team, acting as a product manager to bridge customer business problems with Databricks technical solutions. Candidates must have executive presence, product judgment, technical fluency in data and AI architectures, and hands-on coding skills.
The role is a Sr. Deployment Strategist for the FDE team, acting as a product manager to bridge customer business problems with Databricks technical solutions. Candidates must have 7+ years of experience in data, AI, or software engagements and strong executive presence.
The role involves managing strategic customer accounts and resolving complex Apache Spark and Data Engineering issues. Candidates must have at least three years of experience in data engineering and Python, Java, or Scala development.
The role involves managing strategic customer accounts and resolving complex Apache Spark and Data Engineering issues. Candidates must have at least three years of experience in data engineering and Python/Java/Scala, with deep knowledge of Spark internals.
The role involves maintaining Neon's TypeScript SDK, CLI, and MCP server while creating technical content and engaging with the developer community. Candidates must have 5+ years of experience in developer advocacy or software engineering and strong communication skills.
This role involves representing Databricks in the Bay Area AI community by creating production-ready reference implementations and educational content for agentic systems. Candidates must have 5+ years of experience in developer advocacy and hands-on technical roles, with strong Python skills and knowledge of the Databricks AI ecosystem.
This role involves representing Databricks in the Bay Area AI community by creating production-ready reference implementations and educational content for agentic systems. Candidates must have 5+ years of experience in developer advocacy and hands-on technical roles, with strong Python skills and knowledge of the Databricks AI ecosystem.
This role involves building the open source community for Omnigent, an AI agent meta-harness, by creating templates, demos, and educational content. The candidate must have 5+ years of experience in developer advocacy and hands-on technical roles, with strong Python and TypeScript skills.
This role involves building the open source community for Omnigent, an AI agent meta-harness, by creating templates, demos, and educational content. The candidate must have 5+ years of experience in developer advocacy and hands-on technical roles, with strong Python and TypeScript skills.
The Engagement Manager helps customers adopt the Databricks platform by defining and orchestrating professional services and training engagements. The role requires strong customer-facing skills, leadership experience, and the ability to manage delivery, scope, and KPIs.
The Sr. Engagement Manager, FDE role involves helping customers accelerate value through Databricks platform adoption and selling Forward Deployed Engineering programs. The position requires strategic cross-functional partnership, commercial model development, and full accountability for meeting FDE and Training KPIs.
This role leads and scales the Forward Deployed Engineering motion across a Business Unit or region at Databricks. Candidates must have hands-on data and AI experience, deep architecture knowledge, and strong commercial skills to act as a trusted advisor to executives.
The Senior Engagement Manager leads large, complex cross-functional programs for Latin American accounts within the Forward Deployed Engineering organization. The role requires 7-10 years of Professional Services experience and strong knowledge of Databricks architecture and partner funding programs.
The Sr. Engagement Manager delivers measurable impact for Public Sector customers by scoping complex, multi-quarter initiatives with high autonomy. The role requires 10+ years of leadership experience in Professional Services, expertise in Databricks architecture, and the ability to mentor junior managers.
This role leads the Agentic Service Platform team to build foundational service frameworks and runtime infrastructure for Databricks. Candidates must have 8+ years of engineering experience in distributed systems and 4+ years of engineering management experience.
This role leads the Notebook Dataplane team to build a stateful user code execution service for Databricks' Serverless products. Candidates must have 10+ years of software engineering experience and 5+ years of engineering management experience.
This role leads the Pipelines Engine team to build next-generation ETL features and agentic data engineering infrastructure for Databricks Lakeflow. Candidates must have at least three years managing engineering teams and five years building data infrastructure systems like Apache Spark.
This role supports a Senior Leader in Product & Engineering and the SVP of Corporate Development & Ventures at Databricks. Candidates must have 7+ years of executive administrative experience and strong calendaring skills.
This role supports the Chief Operating Officer by managing complex global travel, cross-functional collaboration, and strategic events. Candidates require 10+ years of experience supporting C-Suite executives in global technology organizations.
This role involves leading complex customer engagements in the Healthcare & Life Sciences sector for Databricks' Forward Deployed Engineering team. The position requires strong technical acumen, program management experience, and the ability to guide architectural decisions without hands-on coding.
This role involves leading complex customer engagements for the U.S. Government sector by providing technical leadership and managing program scope, budget, and risk. Candidates must possess strong technical acumen, communication skills, and experience managing large-scale data projects without requiring hands-on coding.
The role involves working with clients on short to medium term big data engagements using the Databricks platform. Candidates must have 8+ years of experience with big data technologies and be comfortable writing code in Python or Scala.
The role involves building and productionizing data and AI solutions for customers using the Databricks platform. Candidates must lead architecture, implement end-to-end systems, and work cross-functionally to deliver measurable business outcomes.
The role involves building and productionizing data and AI solutions for customers using the Databricks platform. Candidates must lead architecture, implement end-to-end systems, and work cross-functionally to deliver measurable business outcomes.
The role involves building and productionizing data and AI solutions for customers using the Databricks platform. Candidates must lead architecture, implement end-to-end systems, and work cross-functionally to deliver measurable business outcomes.
The role involves building and productionizing data and AI solutions for customers using the Databricks platform. Candidates must lead architecture, implement end-to-end systems, and work cross-functionally to deliver measurable business outcomes.
The role involves building and productionizing data and AI solutions for customers using the Databricks platform. Candidates must lead architecture, implement end-to-end systems, and work cross-functionally to deliver measurable business outcomes.
The role involves building and productionizing data and AI solutions for customers using the Databricks platform. Candidates must lead architecture, implement end-to-end systems, and work cross-functionally to deliver measurable business outcomes.
The role involves leading customer technical projects to build and productionize data and AI solutions on the Databricks platform. Candidates must have 10+ years of experience in data engineering or software engineering, with deep expertise in Apache Spark and at least one cloud ecosystem.
The role involves working with customers to build and productionize data and AI solutions using the Databricks platform. Candidates must own architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development.
This role involves building and productionizing data and AI solutions for customers using the Databricks platform. Candidates must lead architecture, implement end-to-end systems, and work cross-functionally to deliver measurable business impact.
This role involves building and productionizing data and AI solutions for customers using the Databricks platform. Candidates must lead architecture, implement end-to-end systems, and work cross-functionally to deliver measurable business outcomes.
This role involves building and productionizing data and AI solutions for customers using the Databricks platform. Candidates must lead architecture, implement end-to-end systems, and work cross-functionally to deliver measurable business impact.
This role involves building and productionizing data and AI solutions on the Databricks platform for customers. Candidates must lead architecture, implement end-to-end systems, and work cross-functionally to deliver measurable business impact.
This role involves working with clients on short to medium term big data engagements using the Databricks platform. Candidates must have 6+ years of experience in data engineering and platforms, with expertise in Apache Spark and at least one cloud ecosystem.
This role involves building and productionizing data and AI solutions on the Databricks platform for customers. Candidates must lead architecture, implement end-to-end systems, and work cross-functionally to deliver measurable business impact.
This role involves building and productionizing data and AI solutions for customers using the Databricks platform. Candidates must lead architecture, implement end-to-end systems, and work cross-functionally to deliver measurable business outcomes.
This role involves building and productionizing data and AI solutions for customers using the Databricks platform. Candidates must lead architecture, implement end-to-end systems, and work cross-functionally to deliver measurable business impact.
This role involves working with clients on short to medium term big data engagements using the Databricks platform. Candidates must have 6+ years of experience in data engineering and platforms, with deep expertise in Apache Spark and at least one cloud ecosystem.
The role involves building and productionizing data and AI solutions on the Databricks platform for customers. Candidates must lead architecture, implement end-to-end systems, and work cross-functionally to deliver measurable business impact.
This role involves building and productionizing data and AI solutions for customers using the Databricks platform. Candidates must lead architecture, implement end-to-end systems, and work cross-functionally to deliver measurable business outcomes.
This role involves building and productionizing data and AI solutions for customers using the Databricks platform. Candidates must lead architecture, implement end-to-end systems, and work cross-functionally to deliver measurable business impact.
This role involves building and productionizing data and AI solutions on the Databricks platform for customers. Candidates must lead architecture, implement end-to-end systems, and work cross-functionally to deliver measurable business impact.
This role involves building and productionizing data and AI solutions on the Databricks platform for customers. Candidates must lead architecture, implement end-to-end systems, and work cross-functionally to deliver measurable business impact.
This role involves building and productionizing data and AI solutions for customers using the Databricks Platform. Candidates must lead architecture, implement end-to-end systems, and work cross-functionally to deliver measurable business outcomes.
This role involves building and productionizing data and AI solutions for customers using the Databricks Platform. Candidates must lead architecture, implement end-to-end systems, and work cross-functionally to deliver measurable business outcomes.
This role involves building and productionizing data and AI solutions for customers using the Databricks Platform. Candidates must lead architecture, implement end-to-end systems, and work cross-functionally to deliver measurable business outcomes.
This role involves building and productionizing data and AI solutions for customers using the Databricks Platform. Candidates must lead architecture, implement end-to-end systems, and work cross-functionally to deliver measurable business outcomes.
This role involves building and productionizing data and AI solutions for customers using the Databricks Platform. Candidates must lead architecture, implement end-to-end systems, and work cross-functionally to deliver measurable business outcomes.
This role involves building and productionizing data and AI solutions for customers using the Databricks Platform. Candidates must lead architecture, implement end-to-end systems, and work cross-functionally to deliver measurable business outcomes.
This role involves building and productionizing data and AI solutions for financial services customers using the Databricks platform. Candidates must lead architecture, implement end-to-end systems, and work cross-functionally to deliver measurable business outcomes.
This role involves building and productionizing data and AI solutions for financial services customers using the Databricks platform. Candidates must lead architecture, implement end-to-end systems, and work cross-functionally to deliver measurable business outcomes.
The role involves building and productionizing data and AI solutions for customers using the Databricks platform. Candidates must lead architecture, implement end-to-end systems, and work cross-functionally to deliver measurable business outcomes.
This role involves building and productionizing data and AI solutions for financial services customers using the Databricks platform. Candidates must lead architecture, implement end-to-end systems, and work cross-functionally to deliver measurable business outcomes.
This role involves building and productionizing data and AI solutions for financial services customers using the Databricks platform. Candidates must lead architecture, implement end-to-end systems, and work cross-functionally to deliver measurable business outcomes.
This role involves building and productionizing data and AI solutions for financial services customers using the Databricks platform. Candidates must lead architecture, implement end-to-end systems, and work cross-functionally to deliver measurable business outcomes.
This role involves building and productionizing data and AI solutions for financial services customers using the Databricks platform. Candidates must lead architecture, implement end-to-end systems, and work cross-functionally to deliver measurable business outcomes.
This role involves building and productionizing data and AI solutions on the Databricks platform for financial services customers. Candidates must lead architecture, implement end-to-end systems, and work cross-functionally to deliver measurable business outcomes.
This role involves building and productionizing data and AI solutions for financial services customers using the Databricks platform. Candidates must lead architecture, implement end-to-end systems, and work cross-functionally to deliver measurable business outcomes.
This role involves building and productionizing data and AI solutions for customers using the Databricks platform. Candidates must have six or more years of experience in data engineering or software engineering, along with deep expertise in Apache Spark and at least one cloud ecosystem.
This role involves building and productionizing data and AI solutions for customers using the Databricks platform. Candidates must have six or more years of experience in data engineering or software engineering, along with deep expertise in Apache Spark and at least one cloud ecosystem.
This role involves building and productionizing data and AI solutions for customers using the Databricks platform. Candidates must own architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development.
This role involves building and productionizing data and AI solutions on the Databricks platform for healthcare and life sciences customers. Candidates must have six or more years of experience in data engineering or software engineering, with deep expertise in Apache Spark and at least one cloud ecosystem.
This role involves building and productionizing data and AI solutions for customers using the Databricks platform. Candidates must have six or more years of experience in data engineering or software engineering, along with deep expertise in Apache Spark and at least one cloud ecosystem.
This role involves building and productionizing data and AI solutions for customers using the Databricks platform. Candidates must have six or more years of experience in data engineering or software engineering, along with deep expertise in Apache Spark and at least one cloud ecosystem.
This role involves building and productionizing data and AI solutions for customers using the Databricks platform. Candidates must have six or more years of experience in data engineering or software engineering, along with deep expertise in Apache Spark and at least one cloud ecosystem.
This role involves building and productionizing data and AI solutions for customers using the Databricks platform. Candidates must lead architecture, implement end-to-end systems, and work cross-functionally to deliver measurable business outcomes.
This role involves building and productionizing data and AI solutions for customers using the Databricks platform. Candidates must lead architecture, implement end-to-end systems, and work cross-functionally to deliver measurable business outcomes.
This role involves building and productionizing data and AI solutions on the Databricks platform for customers. Candidates must lead architecture, implement end-to-end systems, and work cross-functionally to deliver measurable business outcomes.
This role involves building and productionizing data and AI solutions for customers using the Databricks platform. Candidates must lead architecture, implement end-to-end systems, and work cross-functionally to deliver measurable business outcomes.
This role involves working with federal government customers to build and productionize data and AI solutions using the Databricks platform. Candidates must have 6+ years of experience in data engineering or software engineering and fluency in Python, Scala, and JavaScript/TypeScript.
The role involves building and productionizing data and AI solutions for federal government customers using the Databricks platform. Candidates must have 6+ years of experience in data engineering or software engineering and fluency in Python, Scala, and JavaScript/TypeScript.
This role involves building and productionizing data and AI solutions for customers using the Databricks platform. Candidates must lead architecture, implement end-to-end systems, and work cross-functionally to deliver measurable business outcomes.
This role involves building and productionizing data and AI solutions for customers using the Databricks platform. Candidates must lead architecture, implement end-to-end systems, and work cross-functionally to deliver measurable business outcomes.
This role involves building and productionizing data and AI solutions for customers using the Databricks platform. Candidates must lead architecture, implement end-to-end systems, and work cross-functionally to deliver measurable business outcomes.
This role involves building and productionizing data and AI solutions for customers using the Databricks platform. Candidates must lead architecture, implement end-to-end systems, and work cross-functionally to deliver measurable business outcomes.
The role involves building and productionizing data and AI solutions on the Databricks platform for customers. Candidates must lead architecture, implement end-to-end systems, and work cross-functionally to deliver measurable business outcomes.
This role involves building and productionizing data and AI solutions on the Databricks platform for customers. Candidates must lead architecture, implement end-to-end systems, and work cross-functionally to deliver measurable business outcomes.
The role involves building and productionizing data and AI solutions for customers using the Databricks platform. Candidates must lead architecture, implement end-to-end systems, and work cross-functionally to deliver measurable business outcomes.
The role involves leading customer technical projects to build and productionize data and AI solutions on the Databricks platform. Candidates must have 6+ years of experience in data engineering or software engineering, with deep expertise in Apache Spark and at least one cloud ecosystem.
This role involves building and productionizing data and AI solutions for federal government customers using the Databricks platform. Candidates must have 6+ years of experience in data engineering or software engineering, with fluency in Python, Scala, and JavaScript/TypeScript.
This role involves building and productionizing data and AI solutions for federal government customers using the Databricks platform. Candidates must have 6+ years of experience in data engineering or software engineering and fluency in Python, Scala, and JavaScript/TypeScript.
The Senior Forward Deployed Engineer role involves building and productionizing data and AI solutions for government customers using the Databricks platform. Candidates must have 6+ years of experience in data engineering or software engineering, with fluency in Python, Scala, and JavaScript/TypeScript.
This role leads industry marketing for manufacturing, supply chain, and operations at Databricks, focusing on go-to-market programs and thought leadership. Candidates need 7+ years of experience in B2B technology marketing with strong data and AI understanding.
This role leads marketing strategy and go-to-market programs for venture-backed startups and developers at Databricks. Candidates must have 7+ years of experience in tech marketing, technical fluency in data and AI, and a proven record of driving pipeline and adoption.
The role involves architecting and automating production-grade infrastructure on cloud platforms using Infrastructure as Code tools. Candidates must have 5+ years of production-level experience with strong proficiency in Python and expert-level proficiency in Terraform or Pulumi.
The role involves scaling Databricks' international Public Sector compliance program by providing risk-balanced advice for EMEA and other markets. Candidates must be qualified attorneys with experience in public sector procurement and multi-jurisdictional compliance.
This role leads a team of Technical Solutions Engineers to resolve complex customer issues across Spark, AI/ML, and Lakehouse platforms. Candidates must have 10+ years of experience in large-scale Data & AI applications and strong expertise in Apache Spark and distributed systems.
This role leads the EMEA AI Forward Deployed Engineering team at Databricks, focusing on customer-facing AI/ML professional services and GenAI applications. Candidates must have extensive experience managing data science teams, deep technical expertise in ML and GenAI, and a track record of scaling organizations.
This role leads the EMEA AI Forward Deployed Engineering team at Databricks, focusing on customer-facing AI/ML professional services and GenAI applications. Candidates must have extensive experience managing data science teams, deep technical expertise in ML and GenAI, and a track record of scaling organizations.
The Senior Engineering Manager leads the AI/BI Dashboard team, overseeing fullstack and backend development for Databricks' data insights platform. The role requires 10+ years of distributed systems experience and 6+ years managing multiple SaaS engineering teams.
This role leads a team of software engineers to design and scale cloud-native Search services, including Vector and Keyword Search. Candidates must have 5+ years of experience in search or AI infrastructure and strong leadership skills for managing high-performing teams.
This role leads a team of 7 to 15 engineers within the Configuration Platform organization at Databricks. The position requires 5+ years of management experience in backend or infrastructure teams and strong distributed systems expertise.
The role involves leading a team of technical pre-sales Solutions Architects for the APJ region. The position requires guiding the team to design impactful solutions and drive growth through collaboration and innovation.
The Sr. Manager, Field Engineering role leads a team of Solutions Architects for Databricks' Startups segment, focusing on enterprise software and data engineering. Candidates must have 10+ years of experience in the data space and proven leadership in technical pre-sales teams.
The role involves building and leading a team of pre-sales Solutions Architects for the Korean market to support complex sales cycles. Candidates must have experience managing pre-sales teams in Big Data, Cloud, or SaaS and possess native-level Korean.
The Sr. Manager, Field Engineering role leads a team of Solutions Architects for Databricks' Financial Services segment. Candidates must have 8+ years of data experience and proven leadership in technical pre-sales teams.
This role leads a Solutions Architect team for Intelligence Community and Department of Defense customers, focusing on enterprise software, big data, and generative AI. Candidates must have 5+ years of experience in the data space or mission-focused technology and proven leadership of technical pre-sales teams.
This Senior Manager role leads a broader team of technical customer advisors and shapes strategy for a significant Field Engineering portfolio. Candidates must have significant experience leading technical customer-facing teams and strong strategic judgment to influence cross-functional priorities.
This role involves managing a team of Solutions Architects for Databricks' Telecommunications Segment within the Field Engineering organization. Candidates must have 7+ years of experience in the Data + AI space and 3+ years leading technical pre-sales teams.
The role involves leading a team of technical pre-sales Solutions Architects and Engineers across the Qatar and Africa markets. Candidates must have experience managing Big Data, Cloud, or SaaS teams and possess strong communication skills to support complex sales cycles.
The role involves leading cross-functional programs and operations within the Finance Controllership to drive organizational transformation and efficiency. Candidates must have 8+ years of experience in accounting and project management, with expertise in SOX controls and process optimization.
This role leads usage-related controls and reconciliation processes for Databricks' revenue engine. Candidates must have 10+ years of experience in financial compliance or IT audit and expert proficiency in SQL.
This role leads usage remediation, partner reporting, and root cause analysis for Databricks' usage-based revenue engine. Candidates require a bachelor's degree, 10+ years of experience in revenue recognition, and SQL proficiency.
The role involves leading Bangalore-based Business Development teams to expand Databricks' business in India. Candidates must have 3-4 years of sales management experience, quota-carrying background, and proficiency in Salesforce and Outreach.io.
The role involves managing and growing Databricks' Seoul-based Business Development team to expand the South Korean business. Candidates must have 2-3 years of sales development management experience, quota-carrying sales background, and proficiency in Native Korean and business-level English.
This role leads the Continuous Monitoring team to build automation that measures security control posture across cloud and SaaS environments. The position requires 12+ years of experience, technical depth in Python and cloud security, and strong GRC knowledge.
This role manages partner marketing for AWS and AI partners to drive demand and pipeline. It requires 7+ years of experience in partner marketing and joint program execution.
This role involves designing AI and business intelligence experiences to make advanced analytics intuitive and trustworthy for users. Candidates must have 5+ years of product design experience, a bachelor's degree, and a portfolio showcasing end-to-end design processes.
This role involves owning the product vision, strategy, and roadmap for Databricks' Compute Platform, including Classic and Serverless compute. Candidates must have 5+ years of product management experience, a deep understanding of data platforms, and strong cross-functional collaboration skills.
This role involves owning the product vision, strategy, and roadmap for Databricks' Compute Platform, including Classic and Serverless compute. The position requires 5+ years of product management experience, deep technical understanding of data platforms, and strong collaboration with engineering and enterprise customers.
This role leads product management for the Lakeflow data engineering product at Databricks, focusing on vision, strategy, and execution. Candidates need 5+ years of product management experience in enterprise or SaaS, along with strong analytical and communication skills.
This role involves managing the Unity Catalog product at Databricks, focusing on data governance and security capabilities. Candidates must have 5+ years of enterprise B2B product management experience and a background in computer science or related engineering.
This role involves coordinating product activities for Unity Catalog, a data governance and security platform, from vision to implementation. Candidates must have 5+ years of enterprise B2B product management experience and a background in computer science or related engineering.
The role involves defining the vision for Databricks AI products, including generative AI and agents, while partnering with engineering and research teams to launch new features. Candidates need 5+ years of product management experience, a strong technical background in AI/ML, and proven success bringing products to market.
The role involves defining the vision for Databricks AI products, including generative AI and agents, while partnering with engineering and research teams to launch new features. Candidates need 5+ years of product management experience, a strong technical background in AI/ML, and proven success bringing products to market.
The Senior Product Manager will shape the vision and roadmap for Databricks Free Edition to improve data and AI learning experiences. The role requires 5+ years of product management experience, cross-functional collaboration skills, and technical proficiency to work with engineering teams.
The Senior Product Manager will shape the vision and roadmap for Databricks Free Edition to improve data and AI learning experiences. The role requires 5+ years of product management experience, cross-functional collaboration skills, and technical proficiency to work with engineering teams.
The role involves driving the vision and roadmap for Databricks Repos, a source control and workflow platform for data and AI teams. Candidates must have 5+ years of product management experience on platform products and developer-facing tools.
The role involves driving the vision and roadmap for Databricks Repos, a source control and workflow platform for data and AI teams. Candidates must have 5+ years of product management experience on platform products and developer-facing tools.
This role involves owning the product vision, strategy, and roadmap for Databricks SQL and Lakebase/Lakehouse. Candidates must have 5+ years of product management experience and strong communication skills to drive innovation and customer adoption.
This role involves owning the product vision, strategy, and roadmap for Databricks SQL and Lakebase/Lakehouse. Candidates must have 5+ years of product management experience and strong communication skills to drive innovation and customer adoption.
The role involves shaping the roadmap for Databricks' Lakeflow Jobs orchestration platform, focusing on control-flow, authoring, and observability features. Candidates must have 5+ years of experience, a bachelor's degree, and strong technical knowledge of data pipelines and orchestration tools.
The Sr. Product Marketing Manager will shape and execute go-to-market strategies for Lakewatch and the Agentic Apps portfolio to drive pipeline and revenue growth. The role requires extensive product marketing experience in enterprise security software and a proven ability to build and scale GTM for new or early-stage products.
This role involves leading PR programs for Databricks, focusing on product launches, corporate news, and executive communications. Candidates need 8+ years of enterprise communications experience, fluency with AI tools, and strong media relationships.
The role involves driving recruitment for Field Engineering and Forward Deployed Engineering teams across the EMEA region. Candidates must have significant experience in in-house SaaS recruiting, particularly within the Data and AI space, and must be able to build talent pipelines and partner with leadership.
This is a 12-month contract role for a Senior Recruiter to manage full-cycle hiring for technical GTM and Field Engineering talent in India. The position requires proven experience in software, data, or AI recruiting, with a focus on scaling teams in a high-growth environment.
The Sr. Sales Compensation Analyst manages commissions administration for a large payee portfolio, including plan rollout, calculation, and payroll. The role requires 5+ years of sales compensation experience, advanced Xactly and Excel skills, and SOX compliance knowledge.
The Senior Security Engineer role focuses on implementing and automating security controls across Databricks' enterprise environment. Candidates must have 7+ years of experience and strong programming skills in Python or Go to build and maintain security infrastructure.
The role involves building backend infrastructure for the Databricks platform at scale, focusing on cloud-agnostic abstractions and engineering efficiency. Candidates must have 5+ years of experience, a CS degree, and proficiency in backend languages like Java, Scala, or Go.
The role involves building distributed infrastructure to ingest high-volume, petabyte-scale data from diverse sources into Delta Lake. Candidates must have 5+ years of production experience in Java, Scala, Go, C++, or Python, along with expertise in distributed systems and streaming.
The role involves developing observability solutions to monitor the health and performance of Databricks' large-scale infrastructure. Candidates must have 7+ years of production experience in Python, Java, Scala, or C++ and familiarity with distributed systems and metrics collection.
The role involves building the next generation of Databricks' cloud storage I/O platform to support fast and reliable reads and writes. Candidates require a BS in Computer Science or related field and 5+ years of production experience in Java, Scala, or C++.
The role involves building infrastructure for AI platform components such as MLflow and AI Gateway within Databricks' AI Platform team. Candidates must have 5+ years of backend or infrastructure engineering experience and strong programming skills in Scala, Go, or Python.
The Senior Solutions Architect role involves advising sales teams and customers on Databricks Lakehouse Platform solutions to achieve data-driven outcomes. Candidates must have 8+ years of experience in data engineering, data science, or technical architecture, along with strong Big Data and coding skills.
The role involves developing customer engagement strategies and coaching junior architects to promote the Databricks Data Intelligence Platform. Candidates must influence stakeholders and provide technical solutions for complex data analytics architecture and design.
The role involves developing customer engagement strategies and coaching junior architects to promote the Databricks Data Intelligence Platform. Candidates must have 10+ years of customer-facing technical experience and the ability to influence C-level executives.
The Senior Solutions Architect role involves defining technical strategy for large enterprise accounts to drive Databricks adoption and ML/AI integration. Candidates must have experience in value selling, technical leadership, and big data, with production programming skills in Python, R, Scala, or Java.
The role involves acting as a trusted technical advisor to Databricks customers in Italy, developing customized solutions and reference architectures for the Data Intelligence Platform. Candidates must have prior coding experience in Python, Java, or Scala, proficiency in big data analytics, and business proficiency in both Italian and English.
The Sr. Solutions Architect role involves leading complex customer engagements and driving consumption strategy for enterprise data and AI platforms. Candidates must have 8+ years of experience, expert-level coding proficiency in Python and SQL, and deep knowledge of Databricks or equivalent platforms.
The role is a senior technical leader responsible for complex customer engagements, executive relationships, and consumption strategy. Candidates must have 8+ years of experience, expert-level coding proficiency in Python and SQL, and deep knowledge of enterprise data architecture and the Databricks platform.
The role involves developing customer engagement strategies and coaching junior architects to promote the Databricks Data Intelligence Platform. Candidates must have 10+ years of customer-facing technical experience and expertise in complex proofs-of-concept and public cloud platforms.
The role involves developing customer engagement strategies and coaching junior architects to promote the Databricks Data Intelligence Platform. Candidates must have 10+ years of customer-facing technical experience and the ability to influence C-level executives.
The role involves developing customer engagement strategies and coaching junior architects to promote the Databricks Data Intelligence Platform. Candidates must have 10+ years of customer-facing technical experience and the ability to influence C-level executives.
The role involves developing customer engagement strategies and coaching junior architects to promote the Databricks Data Intelligence Platform. Candidates must influence stakeholders and provide technical solutions for complex data analytics architecture and design.
The Sr. Solutions Architect role involves leading complex customer engagements and driving consumption strategy for enterprise data and AI. Candidates must have 8+ years of experience, expert-level coding proficiency in Python and SQL, and deep knowledge of Databricks and enterprise data architecture.
The Senior Solutions Architect role involves defining technical strategy for large enterprise accounts to drive Databricks adoption and ML/AI integration. Candidates must have experience in value selling, technical leadership, and big data, with production programming skills in Python, R, Scala, or Java.
The role involves providing technical leadership for Customer Lake implementations, including architectural design, data engineering, and identity resolution. Candidates must have 5+ years of CDP or MarTech experience, with 3+ years in customer-facing pre-sales or consulting roles.
The role is a senior technical leader responsible for complex customer engagements, executive relationships, and consumption strategy. Candidates must have 8+ years of experience, expert-level coding proficiency in Python and SQL, and deep knowledge of enterprise data architecture and the Databricks platform.
This role is an expert-level technical leader responsible for complex customer engagements, driving consumption strategy, and owning executive relationships. Candidates must have 8+ years of experience, expert-level coding proficiency in Python and SQL, and deep expertise in enterprise data architecture and the Databricks platform.
The role involves partnering with account teams to design and execute engagement strategies for the Lakebase product line in Tokyo. Candidates must have 10+ years of OLTP expertise and 6+ years in customer-facing pre-sales or consulting roles.
This role is a senior technical leader responsible for complex customer engagements, executive relationships, and platform adoption strategy. Candidates must have 8+ years of experience, expert-level coding proficiency in Python and SQL, and deep knowledge of enterprise data architecture and the Databricks platform.
This role is a senior technical leader responsible for complex strategic customer engagements and executive relationships within the Digital Native Business. Candidates must have 8+ years of experience, expert-level coding proficiency in Python and SQL, and deep expertise in enterprise data architecture and the Databricks platform.
The Sr. Solutions Architect role supports strategic Digital Natives Business customers by developing data and AI architectures using Databricks platforms. Candidates must have 7+ years of experience in data engineering or pre-sales, with proficiency in Python, SQL, and public cloud providers.
This role is a senior technical leader responsible for complex customer engagements, executive relationships, and platform adoption strategy. Candidates must have 8+ years of experience, expert-level coding proficiency in Python and SQL, and deep knowledge of enterprise data architecture and the Databricks platform.
This role is a senior technical leader responsible for complex customer engagements, executive relationships, and platform adoption strategy. Candidates must have 8+ years of experience, expert-level coding proficiency in Python and SQL, and deep knowledge of enterprise data architecture and the Databricks platform.
The role is a senior technical leader responsible for complex customer engagements, executive relationships, and platform strategy. Candidates must have 8+ years of experience, expert-level coding skills, and deep knowledge of enterprise data architecture and Databricks.
The role involves defining technical strategy for large Oil, Gas, and Energy accounts to drive Databricks adoption and ML & AI use. Candidates must have experience in value selling, technical leadership, and big data, with production programming skills in Python, R, Scala, or Java.
This role involves leading the growth of the Databricks Unified Analytics Platform by developing customer-facing architectures and solutions. Candidates must have 8+ years of experience in pre-sales or technical architecture, along with expertise in distributed data systems and public cloud providers.
This role involves leading the growth of the Databricks Unified Analytics Platform by developing customer-facing architectures and solutions. Candidates must have 8+ years of experience in pre-sales or technical architecture and proficiency in Python, Scala, Java, SQL, or R.
The role involves defining technical strategy for large retail and CPG accounts to drive Databricks adoption and ML/AI implementation. Candidates must have 8+ years of experience in large enterprises and 4+ years in pre-sales, with strong technical skills in big data and cloud.
This role is a senior technical leader responsible for complex customer engagements, executive relationships, and consumption strategy. Candidates must have 8+ years of experience, expert-level coding proficiency in Python and SQL, and deep knowledge of enterprise data architecture and the Databricks platform.
This role is a senior technical leader responsible for complex customer engagements, executive relationships, and platform adoption strategy. Candidates must have 8+ years of experience, expert-level coding proficiency in Python and SQL, and deep knowledge of enterprise data architecture and the Databricks platform.
The role involves acting as a trusted technical advisor to Databricks customers in France, developing custom solutions and reference architectures for the Data Intelligence Platform. Candidates must have prior coding experience in Python, Java, or Scala, proficiency in big data analytics, and business proficiency in both French and English.
The role involves providing technical leadership for Customer Lake implementations, including architectural design, data engineering, and identity resolution. Candidates must have 5+ years in pre-sales or consulting and 2+ years implementing CDP and Lakehouse architectures.
The role involves acting as a Big Data Analytics advisor to clients, creating customized solutions and reference architectures using the Databricks platform. Candidates must have experience in solution architecture, data engineering, and coding in a core language like Python.
The Sr. Solutions Engineer role involves independently leading technical engagements, including discovery, solution design, and platform demonstrations for Databricks customers. Candidates must have 4+ years of experience in data engineering or solutions architecture, with proficiency in Python, SQL, and public cloud platforms.
The Sr. Solutions Engineer role involves independently leading technical engagements, solution design, and platform demonstrations for customers in the Greater China region. Candidates must have 4+ years of experience in data engineering or solutions architecture, proficiency in Python and SQL, and business proficiency in Mandarin.
The Sr. Solutions Engineer independently leads technical engagements, owning discovery, solution design, and platform demonstrations for Digital Native customers. The role requires 4+ years of experience in data engineering or solutions architecture, proficiency in Python and SQL, and hands-on experience with public cloud platforms.
The role involves architecting production-grade ML and AI applications on Databricks for customers and the Field Engineering organization. Candidates must have 5+ years of hands-on industry ML experience and a graduate degree in a quantitative discipline.
The role involves defining AI product go-to-market strategy and driving adoption in the Asia Pacific and Japan region. Candidates must have 6+ years in Data Science/ML, 2+ years in production Gen AI, and expertise in cloud environments and LLM architectures.
This role involves guiding customers in building big data solutions on Databricks with a focus on platform security and cloud infrastructure. Candidates must have hands-on production experience with cloud infrastructure, big data technologies, and security architecture.
The role involves architecting production-grade ML and AI workloads for enterprise customers on the Databricks platform. Candidates must have 7+ years of hands-on industry ML experience and fluency in Hebrew and English.
The role involves embedding with strategic customers to design and deliver custom fullstack applications on the Databricks platform. Candidates must own architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development.
The Senior Staff Fullstack Engineer role involves defining the technical roadmap and designing end-to-end, AI-powered applications for Databricks' Agentic Applications team. Candidates must have 12+ years of software engineering experience and 3+ years of engineering leadership experience.
This role leads global customer enablement partnerships at Databricks, owning strategy, operating models, and commercialization for partner products. Candidates require 10+ years of global partner management experience and P&L ownership in enterprise software or cloud.
This role involves defining the architecture and technical standards for Databricks' shared Security AI platform. Candidates must have 10+ years of experience in software engineering or security platform architecture, with fluency in Python and cloud-native systems.
The role involves designing and implementing scalable systems for Databricks' Managed Tables offering, including Predictive Optimization and Liquid Clustering. Candidates must have 15+ years of experience in large-scale distributed systems and strong foundations in algorithms and data structures.
This role involves designing and managing billing systems and services for Databricks products across AWS, GCP, and Azure. Candidates must have 9+ years of experience building large-scale distributed services and data pipelines.
The role involves leading the technical direction and development of Unity Catalog's enterprise-grade governance capabilities. Candidates must have 15+ years of experience building large-scale distributed systems and deep computer science expertise.
This role is a senior technical leader position at Databricks responsible for driving strategy and architecture across Query Observability, SQL Warehouse Management, and Account-Level Observability and Governance. Candidates must have 12+ years of experience building large-scale distributed systems and a proven track record as a technical leader in complex environments.
This role is a senior technical leader position at Databricks responsible for driving strategy and architecture across Query Observability, SQL Warehouse Management, and Account-Level Observability and Governance. Candidates must have 12+ years of experience building large-scale distributed systems and a proven track record as a technical leader in complex environments.
The role involves owning the AI-native web platform layer, including frameworks, design systems, and CI/CD pipelines, while defining the technical roadmap. Candidates must have 12+ years of software engineering experience and 3+ years of engineering leadership experience.
This role leads strategy and execution for critical Reliability initiatives across Databricks infrastructure and product engineering teams. Candidates must have 10+ years managing large-scale technical programs in cloud infrastructure or distributed systems, with experience across multiple hyperscale cloud providers.
This role leads strategy and execution for critical Reliability initiatives across Databricks infrastructure and product engineering teams. Candidates must have 10+ years managing large-scale technical programs in cloud infrastructure or distributed systems, with experience across multiple hyperscale cloud providers.
The role is a Sr. Staff Technical Program Manager (L7) leading an internal incubator to build Databricks' first-party agentic application platform. Candidates must have 10+ years of technical program management experience, deep architectural fluency, and proven people management of lean TPM teams.
The Sr. Strategy & Operations Program Lead will establish and scale the operating model for the Accenture Databricks Business Group, including governance and portfolio management. The role requires 15+ years of experience in program management and cross-functional leadership to build scalable execution frameworks.
This role involves leading customer technical projects to build and productionize data and AI solutions on the Databricks platform. Candidates must have 6+ years of experience in data engineering or software engineering, with expertise in Apache Spark and at least one cloud ecosystem.
The role involves providing technical support for Databricks Platform issues and assisting customers with their analytics journey. Candidates must have 4+ years of experience with Python, Java, or Scala applications, along with strong SQL and Linux/Unix skills.
The role involves designing large-scale connectivity platforms for Databricks' networking infrastructure, focusing on multi-cloud distributed systems. Candidates must have 15+ years of production experience in languages like Rust or Java and 10+ years developing distributed systems.
The role involves building the control plane for Databricks' Unity AI Gateway, which routes AI requests and enforces budgets. Candidates must have 8+ years of backend or infrastructure experience and strong skills in Scala or Go.
The role involves building infrastructure for AI infrastructure components such as MLflow and AI Gateway within the AI Platform team. Candidates must have 5+ years of backend or infrastructure engineering experience and strong programming skills in Scala, Go, or Python.
This role serves as a senior escalation point for complex ML/AI issues involving model training, inference, and Databricks technologies. Candidates must possess deep troubleshooting experience with distributed systems, strong Python skills, and expertise in Apache Spark and MLflow.
This role involves shaping data science areas such as segmentation and forecasting while collaborating with engineering and product teams. Candidates need 7+ years of data science experience, strong coding skills in Python or Scala, and proficiency in SQL and Spark.
This role involves building data science tooling and generating strategic insights for Databricks' infrastructure and engineering teams. Candidates must have 7+ years of data science experience, strong Python and SQL skills, and a master's or PhD in a quantitative field.
The role involves developing machine learning models for fraud and abuse detection within Databricks' Trust and Safety team. Candidates must have 7+ years of data science experience, proficiency in SQL and Python, and a master's degree in a quantitative field.
This role involves securing enterprise applications, data flows, and AI-adjacent use cases within the Databricks platform. Candidates must have 8+ years of security engineering experience and strong technical judgment for cross-functional partnership.
This Staff Forward Deployed Engineer role partners with customers to solve big data challenges using the Databricks Platform. Candidates must have 15+ years of experience in big data technologies and 6+ years designing big data architectures.
The role involves working with customers to build and productionize data and AI solutions using the Databricks platform. Candidates must own architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development.
The role is a Senior Frontend Engineer at Databricks focused on building robust, scalable data and AI infrastructure products. Candidates must have 5+ years of experience with HTML, CSS, and JavaScript, along with modern frameworks like React.
This role involves defining the technical roadmap and designing end-to-end, AI-powered full-stack applications for Databricks' Agentic Applications team. Candidates must have 12+ years of software engineering experience and 3+ years of engineering leadership experience.
This role involves architecting and building agentic systems to automate People Technology workflows using LLM orchestration frameworks. Candidates must have 8+ years of software engineering experience, including at least 2 years building production LLM or agentic applications.
The role involves developing and deploying state-of-the-art AI models and ML pipelines for Databricks' GenAI products. Candidates must have 2-8 years of machine learning engineering experience and proficiency in Python and PyTorch.
This role involves evaluating ML and LLM approaches for CustomerLake's personalization use cases and building the platform to optimize for business value. Candidates must have 10+ years of engineering experience, hands-on ML/LLM product experience, and proficiency in Python and PyTorch.
The role leads technical relationships with strategic AI partners like Anthropic and OpenAI, owning joint roadmaps and building integrations. Candidates need 10+ years of experience in field engineering or AI systems, with hands-on skills in Python, REST APIs, and POC development.
This role serves as the primary technical liaison between Databricks and Microsoft Azure, managing the cross-product roadmap and driving engineering integrations. Candidates must have 10+ years of experience in cloud architecture or partner engineering, with deep expertise in Azure services and hands-on skills in Python, SQL, and API integration.
This role is an IC design lead for Omnigent, focusing on desktop and mobile experiences for AI coding agents. Candidates must have staff-level scope, strong end-to-end craft, and the ability to design directly in codebases.
This role involves designing agent-driven experiences for a new product category at Databricks in New York City. Candidates must have 8+ years of product design experience and a degree in design or a related field.
The role is a Staff Product Manager for the Databricks Runtime team in Amsterdam, responsible for developing product strategy and launching features for data processing. Candidates must have 6+ years of experience, a bachelor's degree, and strong technical skills in cloud infrastructure and data analysis.
The role is a Staff Product Manager for the Databricks Runtime team in Berlin, responsible for developing product strategy and launching features for data processing and governance. Candidates must have 6+ years of experience, a bachelor's degree, and strong technical skills in cloud infrastructure and data analysis.
This role involves owning the product strategy and roadmap for Databricks' Agentic Platform, which enables internal teams to build production-grade agentic applications. The position requires 8+ years of product management experience, with at least 3 years focused on internal platform or developer-experience products.
This role leads the strategy and implementation of Databricks' SAP platform to automate finance operations using AI. Candidates must have 7+ years of product management experience and deep expertise in SAP implementations and agentic automation.
This role leads data security product strategy for the Databricks Lakehouse platform, focusing on privacy, confidentiality, and regulatory compliance. Candidates must have 7+ years of product management experience in enterprise B2B or SaaS, with domain expertise in data security, privacy, and encryption.
This role leads data security product strategy for the Databricks Lakehouse platform, focusing on privacy, confidentiality, and regulatory compliance. Candidates must have 7+ years of product management experience in enterprise B2B or SaaS, with domain expertise in data security, privacy, and encryption.
This role involves owning the strategy for Databricks' Serverless Workspaces platform to simplify cloud infrastructure onboarding. Candidates must have 7+ years of product management experience in cloud infrastructure or SaaS foundations, with technical depth in cloud resource management.
The role involves owning the strategy for Databricks' Serverless Workspaces platform to simplify onboarding and drive serverless adoption. Candidates must have 7+ years of product management experience in cloud infrastructure or SaaS foundations, with technical depth in cloud resource management and a data-driven mindset.
This role owns the product roadmap for Databricks in the US public sector, spanning federal, defense, and classified environments. Candidates must have enterprise product management experience and domain expertise in US government compliance and accreditation standards.
This role involves designing and automating secure cloud infrastructure across AWS, Azure, and GCP for regulated public sector environments. Candidates must have 8+ years of experience operating large-scale cloud environments and hold an active TS/SCI security clearance.
The role involves owning full-cycle recruiting for Corporate Functions roles across AMER, including Finance, Legal, and People. Candidates must have proven experience in high-growth tech industries and strong strategic partnership skills.
This role involves leading high-visibility security compliance initiatives and managing end-to-end delivery for certifications like FedRAMP and DoD IL5/IL6. Candidates must have 7+ years of experience in security program management, an active Top Secret Clearance, and reside in the Washington, DC metropolitan area.
The role involves responding to security incidents and conducting forensics for Databricks' distributed Incident Response team. Candidates must have 7+ years of experience in Incident Response and cloud security expertise in AWS, GCP, or Azure.
This role involves responding to security incidents and conducting forensics for Databricks' Incident Response team. Candidates must have a US GOV Secret clearance and 7+ years of experience in Incident Response.
The role is a Staff Software Engineer in Databricks' Engineering - Pipeline department, reporting to an Engineering Leader. Candidates must have 12+ years of experience building large-scale distributed systems and strong algorithms/data structures knowledge.
The role involves owning and re-architecting critical core platforms for scalability and reliability at Databricks. Candidates must have 12+ years of production experience in languages like Python or Java and a background in large-scale distributed systems.
The Staff Software Engineer role focuses on building the Data Intelligence Platform and metrics store for Databricks. Candidates must have 12+ years of industry experience and 4+ years building large-scale distributed systems.
The role is a Staff Software Engineer (Infrastructure) position in Bengaluru, India, focusing on backend infrastructure, distributed systems, and large-scale service architecture. Candidates must have a BS in Computer Science or related field, 12+ years of production experience in languages like Python or Java, and 6+ years developing large-scale distributed systems.
The Staff Software Engineer role focuses on building and governing Databricks' Money systems, including resource admission control and usage infrastructure. Candidates must have 12+ years of production experience in Java, Scala, or C++ and a track record in large-scale distributed systems.
The role involves leading enhancements to Databricks' search ranking, query understanding, and evaluation systems. Candidates must have 10+ years of experience developing search relevance systems at scale and a BS+ in Computer Science.
The role is a Staff Software Engineer for the Access Management team at Databricks in Bellevue, Washington. The position requires deep expertise in access management, distributed systems, and security, with a focus on setting technical direction for the core authorization service.
The role involves developing and running the research stack for Databricks AI Research, including services for scheduling and observing large-scale training and inference workloads. Candidates must have 5+ years of software engineering experience, a degree in Computer Science or related field, and deep experience with distributed systems and GPU clusters.
The role involves designing, implementing, and operating micro-services for the Databricks platform with a backend focus. Candidates must have 10+ years of production experience in Java or Scala and expertise in large-scale distributed systems.
The role involves designing, implementing, and operating micro-services for the Databricks platform with a backend focus. Candidates must have 10+ years of production experience in Java or Scala and expertise in large-scale distributed systems.
The role involves designing, implementing, and operating micro-services for the Databricks platform with a backend focus. Candidates must have 10+ years of production experience in Java or Scala and expertise in large-scale distributed systems.
The role involves designing, implementing, and operating micro-services for the Databricks platform with a backend focus. Candidates must have 10+ years of production experience in Java or Scala and expertise in large-scale distributed systems.
The role involves building backend infrastructure for the Databricks platform at scale, focusing on cloud-agnostic abstractions and engineering efficiency. Candidates must have 8+ years of experience, a CS degree, and proficiency in backend languages like Java, Scala, or Go.
The role involves building backend infrastructure and products for the Databricks platform at scale. Candidates must have a CS degree and 7+ years of production experience in Java, Scala, C++, or similar languages.
The role involves building backend services for distributed systems and cloud storage integration at Databricks. Candidates must have a CS degree and 8+ years of production experience in Java, Scala, or C++.
The role involves building backend infrastructure and products for the Databricks platform at scale. Candidates must have a CS degree and 7+ years of production experience in Java, Scala, C++, or similar languages.
This role involves building large-scale distributed systems and SaaS platforms for Databricks' data and AI infrastructure. Candidates require 10+ years of production experience in Java, Scala, or C++, along with strong knowledge of algorithms, cloud technologies, and SQL.
The role involves working on backend, distributed data systems, and full-stack engineering for Databricks' data and AI infrastructure. Candidates require 12+ years of production experience in languages like Python, Java, or Scala, along with a degree in Computer Science.
The role involves building and operating the Lakebase platform, focusing on distributed systems, high-performance services, and reliability. Candidates require a BS in Computer Science and 8+ years of production experience in Java, Scala, or C++.
This Staff Software Engineer role focuses on developing AI and LLM systems for customer engagement and documentation at Databricks. Candidates must have 6+ years of experience building large-scale distributed systems and strong proficiency in machine learning and software engineering.
The Staff Software Engineer role focuses on designing and operating the cross-company Data Intelligence Platform to automate decision-making. Candidates must have 10+ years of experience building large-scale distributed systems and 4+ years of technical leadership on production data systems.
The role involves designing and implementing next-generation query engines and storage systems for Databricks' Lakehouse architecture. Candidates should have a passion for database and distributed systems, with 8+ years of experience in related systems preferred.
The role involves designing and implementing next-generation query engines and storage systems for Databricks' Lakehouse architecture. Candidates should have a passion for database and distributed systems, with 8+ years of experience in related systems preferred.
The role involves designing next-generation query engines and storage systems for Databricks, focusing on areas like query optimization and distributed execution. Candidates must have 7+ years of experience in related systems and be comfortable working towards a multi-year vision.
The role involves leading the design and development of a global schema migration platform for MySQL and TiDB. Candidates must have 12+ years of experience in backend systems or platform engineering, with a track record of scaling mission-critical infrastructure.
The role involves building next-generation distributed data storage and processing systems for Databricks' Runtime team. Candidates require 8+ years of production experience in Java, Scala, or C++ and a strong foundation in distributed systems.
The role involves building next-generation distributed data storage and processing systems for the Runtime team. Candidates require 8+ years of production experience in Java, Scala, or C++ and a strong foundation in distributed systems.
The role involves building next-generation distributed data storage and processing systems on Databricks' Runtime team. Candidates require 8+ years of production experience in Java, Scala, or C++ and a strong foundation in distributed systems.
The role involves driving design decisions and developing features for Databricks' data infrastructure in Belgrade. Candidates must have 8+ years of production experience in Java, Scala, or C++ and a strong foundation in distributed systems.
This role involves creating novel interfaces for GenAI agents and leading front-end and full-stack development for vertical AI applications. Candidates must have 10 years of experience with HTML, CSS, JavaScript, and modern frameworks like React.
The role is a Staff Software Engineer - Fullstack position in Databricks' new Vancouver R&D center. Candidates must have 10+ years of experience with front-end technologies like HTML, CSS, and JavaScript, as well as server-side technologies such as Node.js or Java.
This role involves leading the architecture and optimization of Databricks' GenAI inference engine for the Foundation Model API. Candidates must have strong software engineering experience in performance-critical systems and deep knowledge of ML inference internals, CUDA, and distributed systems.
This role involves creating the vision and strategy for Databricks' security engineering discipline to protect customer data. Candidates must have 7+ years of experience in Data Security and expertise in at least two specified areas, along with 10+ years building large-scale distributed systems.
This role involves creating the vision and strategy for Databricks' security engineering discipline to protect customer data. Candidates must have 7+ years of experience in Data Security and expertise in at least two specified areas, along with 10+ years building large-scale distributed systems.
The role involves building scalable ingestion systems for Databricks Lakeflow Connect to process large volumes of data from various sources. Candidates must have 15+ years of experience in distributed systems and database internals, with a focus on low-level debugging and architectural design.
The role involves building scalable ingestion systems for Databricks Lakeflow Connect to process large volumes of data from various sources. Candidates must have 15+ years of experience in distributed systems and database internals, with a focus on low-level debugging and architectural design.
The role involves leading enhancements to Databricks' search quality by developing ML-based relevance models and automated NLP pipelines. Candidates must have 10+ years of experience in search relevance systems and a degree in Computer Science or a related field.
This role involves designing and managing Money systems and services to commercialize Databricks products, including billing, metering, and pricing strategies. Candidates must have technical leadership experience in large projects, distributed service infrastructure, and data pipelines at scale.
This role involves serving as the technical lead for the Bengaluru Multi Cloud Efficiency chapter, defining strategy for cloud infrastructure optimization. Candidates must have 9+ years of experience building distributed systems in Java, Scala, C++, or Go, with expertise in cloud computing and Kubernetes.
The role involves designing and maintaining SQL drivers and infrastructure for Databricks partner integrations. Candidates must have 10+ years of production experience in Java, Python, or Go, along with a track record in architecting highly performant systems.
The role involves leading enhancements to Databricks' Search Quality by developing ML-based relevance models and automated NLP pipelines. Candidates must have 10+ years of experience in search relevance systems and a degree in Computer Science or a related field.
This role involves creating the vision and strategy for Databricks' security engineering discipline to protect customer data. Candidates must have 7+ years of experience in Data Security and expertise in at least two specified areas, along with 10+ years building large-scale distributed systems.
This role involves creating the vision and strategy for Databricks' security engineering discipline to protect customer data. Candidates must have 7+ years of experience in Data Security and expertise in at least two specified areas, along with 10+ years building large-scale distributed systems.
The role involves building the next generation of Databricks' cloud storage I/O platform to support fast and reliable reads and writes. Candidates must have 8+ years of production experience in Java, Scala, or C++ and a strong foundation in low-level systems and distributed systems.
This role involves driving the technical direction of Spark Structured Streaming across open source and Databricks components. Candidates must have 8+ years of experience in big-data ecosystems, Apache Spark, or database internals to improve latency, throughput, and state management.
This Staff Software Engineer role leads the User Activation team to drive technical vision and architecture for customer onboarding and workspace experiences. Candidates must have 15+ years of software engineering experience, 5+ years of engineering management, and expertise in full-stack development and distributed systems.
This role involves architecting and delivering Databricks' AI-native vertical workflow platform for Customer Experience Intelligence. Candidates must have technical leadership experience in distributed systems, full-stack development, and agentic automation.
This role involves defining technical foundations for Genie One across web, mobile, and desktop platforms. Candidates must have 8+ years of experience and strong JavaScript/TypeScript skills to lead cross-surface architecture and delivery.
This role leads the development of data ingestion, aggregation, and agentic workflows for advertising platform data at scale. Candidates must have 10+ years of engineering experience, including tech lead responsibilities, and hands-on experience with walled garden advertising APIs.
This role involves designing and scaling evaluation infrastructure for Databricks' AI agents to improve quality and reliability. Candidates must have strong Python skills and experience building production or research infrastructure.
This role involves owning the architecture and delivery of LLM-powered agents for marketing content workflows at Databricks. Candidates must have 12+ years of software engineering experience and hands-on experience building production LLM systems.
This role involves owning the web platform layer, including frameworks, design systems, and CI/CD pipelines, for an AI-native web experience. Candidates must have 12+ years of software engineering experience and 3+ years of engineering leadership experience.
This role involves driving the architecture and reliability systems for Databricks' AI Runtime, a serverless GPU training platform. Candidates must have 10+ years in distributed systems and deep expertise in GPU training, high-performance computing, and ML systems.
This role involves driving the architecture and evolution of Databricks' next-generation Search product, including Vector, Keyword, and Hybrid Search. Candidates must have 10+ years of experience building large-scale distributed systems and deep expertise in search technologies, indexing, and ranking.
This role leads the end-to-end data collection stack, including browser tags, mobile SDKs, and server-side endpoints. Candidates must have 10+ years of engineering experience, deep browser-side JavaScript expertise, and high-throughput server-side collection skills.
This role involves creating novel interfaces for generative AI agents and leading full-stack development for vertical AI applications in a 0-to-1 environment. Candidates must have 10+ years of experience with HTML, CSS, JavaScript, and server-side technologies, along with a proven track record of building end-to-end generative AI products.
This Staff Software Engineer role focuses on designing distributed systems for cross-region replication and recovery of Lakeflow pipelines. Candidates must have strong software engineering skills and experience with distributed systems, databases, or reliability engineering.
This role involves leading the modeling of sales and CRM objects for AI agents and developing agents for revenue teams. Candidates must have 10+ years of engineering experience and deep knowledge of major CRM data models and platforms.
This role involves driving the technical direction of ranking, relevance, and evaluation for Databricks' next-generation Search product. Candidates must have 10+ years of experience building large-scale search and ML-driven relevance systems, with deep expertise in ranking models and evaluation methodologies.
This role is a hands-on individual contributor position as Technical Lead for the Lakebase Manager team, focusing on building and operating the central control plane for database lifecycle management. The primary requirements include 8+ years of experience in large-scale distributed systems, technical leadership without formal management authority, and proficiency in Go, Rust, or similar systems languages.
The Staff Software Engineer for Customer Experience Intelligence will architect and deliver Databricks' AI-native vertical workflow platform. The role requires extensive backend development experience, familiarity with distributed systems, and hands-on experience with LLM orchestration frameworks.
The role involves building LLM infrastructure for large-scale inference workloads using partner and self-hosted models. Candidates must have 8+ years of backend or infrastructure engineering experience with distributed systems and scalable APIs.
The role involves building backend connectivity services and leading the design of new services for Databricks' networking infrastructure in Bengaluru. Candidates must have 12+ years of production experience in languages like Python or Java, along with 7+ years developing large-scale distributed systems.
This role involves designing and scaling distributed backend systems for Databricks' public sector data platform in sovereign and air-gapped cloud environments. Candidates must have 9+ years of experience and strong production-level proficiency in Java, Scala, Go, or C++.
The role involves owning search quality for both AI agents and human users by optimizing hybrid retrieval and ranking models. Candidates must have expertise in Lucene/Elasticsearch, embeddings, and ranking algorithms, with a focus on building evaluation frameworks for relevance metrics.
This role involves architecting long-term system stability and leading incident response for Databricks' secure government infrastructure. Candidates must have 7+ years of experience in systems engineering and hold an active TS/SCI clearance.
This role involves leading high-visibility security compliance initiatives and managing end-to-end delivery for new certifications and federal authorizations. Candidates must hold an active Top Secret clearance, reside in the Washington, D.C. area, and possess 7+ years of experience in security and technical program management.
This Staff Technical Program Manager role leads complex, cross-functional platform initiatives at Databricks, partnering with engineering, product, and go-to-market teams to drive global enterprise adoption. Candidates must have 10+ years of experience leading large-scale programs in enterprise software, with strong stakeholder alignment and data-driven execution skills.
This Staff Technical Program Manager role drives security execution across infrastructure initiatives for authentication, access control, and anomaly detection. Candidates must have 8+ years of technical program management experience and deep literacy in IAM, data privacy, and distributed systems.
This Staff Technical Program Manager role drives security execution across infrastructure initiatives for authentication, access control, and anomaly detection. Candidates must have 8+ years of technical program management experience and deep literacy in IAM, data privacy, and distributed systems.
This role involves ensuring platform reliability and unblocking secure engineering pipelines for Databricks' multi-cloud data enclaves in air-gapped environments. Candidates must have 7+ years of experience in systems or cloud infrastructure and hold an active Top Secret/SCI clearance.
The role is a Staff Technical Solutions Engineer for the Platform Support team, requiring 12+ years of experience in Databricks or cloud data platforms. The engineer will serve as the primary point of contact for escalated issues, manage high-priority incidents, and collaborate with internal teams to improve platform stability.
This role involves driving and mentoring Data & AI technical solutions for customer issues, including deep dives into production pipelines and AI workflows. Candidates must have 8 years of data pipeline experience, mandatory Spark expertise, and 5 years of Big Data technology development.
This role leads the evolution of Databricks' global communication and workplace technology infrastructure, focusing on enterprise voice, conferencing, and AV systems. Candidates must have 8+ years of experience supporting enterprise unified communications and strong expertise in networking, troubleshooting, and automation.
The role involves closing new accounts and expanding existing ones within the Commercial & Mid-Market Sales department. Candidates must have at least one year of closing sales experience and prior experience in big data, cloud, or SaaS sales.
This role involves selling Databricks' platform to startup and mid-market accounts to drive consumption growth and close deals. Candidates must have direct sales experience with a consumption-based motion and the ability to guide technical buyers through the sales process.
The role involves closing new accounts and expanding existing ones in the commercial and mid-market sales department. Candidates must have at least one year of closing sales experience and prior experience in big data, cloud, or SaaS sales.
The role is an Account Executive in Enterprise Sales focused on acquiring new accounts across the Nordics Market. Candidates must have direct sales experience in a consumption business and the ability to manage full sales cycles.
This role is an Enterprise Account Executive at Databricks responsible for selling to Fortune 500 accounts in the Telco organization. Candidates must have 7+ years of enterprise sales experience, a Bachelor's degree, and experience in big data or cloud sales.
This role involves selling Databricks' data and AI platform to banking enterprises, focusing on executive relationships and new business development. Candidates must have extensive experience in enterprise software sales, regulated industries, and co-selling with cloud partners.
The Strategic Account Executive role focuses on growing a strategic Consumer Goods customer within the UK market. The position requires essential experience in selling to the CPG sector, managing large multi-national accounts, and leading complex sales campaigns.
This role involves growing a top strategic customer in the UK rail and public transport sector for Databricks. The position requires experience selling to large enterprise accounts in the transport or public sector and managing complex, multi-stakeholder relationships.
The Strategic Account Executive role focuses on growing a strategic energy customer within the Benelux region. Candidates must have essential experience selling to the energy sector and managing large, complex multi-national accounts.
The role involves growing a strategic energy customer within the Life Science industry by developing business plans and leading data and AI use cases. Candidates must have experience selling to global enterprises, managing complex multi-national accounts, and exceeding sales quotas in high-growth software companies.
The Strategic Account Executive role focuses on growing Databricks' Medtech customers in the Benelux region by developing business plans and leading complex sales campaigns. Candidates must have essential experience selling to Medtech or manufacturing accounts, exceeding enterprise software quotas, and co-selling with cloud vendors.
The Strategic Account Executive, Public Sector role involves owning strategic sales for a major Canadian public sector customer and driving adoption of Databricks' data and AI platform. Candidates must have 7+ years of SaaS or cloud sales experience in the public sector and speak fluent French.
This role involves identifying and securing new opportunities within Space Force accounts for Databricks. Candidates must have extensive hunting experience and a track record of selling complex technical cloud solutions in data and AI.
The Strategic Account Executive role focuses on driving strategic relationships and revenue growth for key Databricks customers in the Nordic region. Candidates must have proven experience in strategic account management and strong communication skills to build relationships with C-level stakeholders.
This role involves selling Databricks' data and AI platform to enterprise customers in France to drive consumption and meet booking goals. Candidates must have extensive experience in complex enterprise sales, technical product knowledge, and managing federated sales campaigns.
This role is a Strategic Core Account Executive in the Sales department based in San Francisco, California. The position requires 7+ years of enterprise sales experience, a Bachelor's degree, and the ability to manage a small set of enterprise accounts in the Manufacturing sector.
This role involves managing a strategic enterprise client in the DNB vertical for Databricks' Digital Natives team. Candidates must have 7+ years of enterprise sales experience, a Bachelor's degree, and the ability to drive value-based growth and exceed revenue targets.
This role involves selling Databricks' data and AI solutions to enterprise customers in Israel, focusing on growing consumption and identifying new use cases. Candidates must have extensive experience in complex enterprise sales, technical product knowledge, and managing federated sales campaigns.
This role involves leading go-to-market campaigns for major regional accounts and driving value-based growth within enterprise accounts. Candidates must have 7+ years of enterprise sales experience, a Bachelor's degree, and the ability to simplify technical capabilities into value-based benefits.
This role is an Enterprise Account Executive in the Enterprise Sales department responsible for leading go-to-market campaigns in Fortune 500 accounts, specifically within the TELCO space. Candidates must have 7+ years of enterprise sales experience, a Bachelor's degree, and the ability to simplify technical capabilities into value-based benefits.
This role involves selling Databricks' enterprise cloud data platform to retail and other enterprise accounts, focusing on closing net new logos and managing complex sales cycles. Candidates must have 7+ years of field sales experience in big data, cloud, or SaaS, along with a Bachelor's degree.
This role involves selling Databricks' enterprise cloud data platform to telco and other enterprise accounts, focusing on closing net new logos and managing complex sales cycles. Candidates must have 7+ years of field sales experience in big data, cloud, or SaaS, along with a Bachelor's degree.
This role involves managing a strategic automotive/OEM account in Germany, focusing on building C-level relationships and closing new business opportunities. Candidates must have proven enterprise sales experience in the automotive vertical and strong consultative skills in data and AI solutions.
This role involves managing a strategic automotive/OEM account in Germany, focusing on building C-level relationships and closing new business opportunities. Candidates must have proven enterprise sales experience in the automotive vertical and strong consultative skills in data and AI solutions.
This role is an Enterprise Account Executive for Databricks focusing on CMEG Telco accounts. Candidates need 7+ years of enterprise sales experience, a Bachelor's degree, and expertise in Big Data, Cloud, and SaaS sales.
This role involves managing a strategic enterprise client within a large Indian conglomerate, focusing on expanding Databricks' footprint and driving revenue growth. Candidates must have 7+ years of enterprise sales experience in big data or cloud, with a Bachelor's degree and the ability to simplify technical capabilities into value-based benefits.
This role involves leading go-to-market campaigns for Fortune 500 accounts in the CPG vertical, focusing on expanding Databricks' footprint and driving revenue growth. Candidates must have 7+ years of enterprise sales experience, a Bachelor's degree, and the ability to simplify technical capabilities into value-based benefits.
This role involves leading enterprise sales for Databricks within the Swiss insurance sector, focusing on big data and AI solutions. Candidates must have extensive experience in direct enterprise software sales, executive relationship management, and quota over-achievement.
This role involves managing a strategic insurance account in Munich, focusing on building relationships and closing new business opportunities. Candidates must have proven enterprise sales experience in the insurance or financial services sector and strong consultative skills in data and AI.
This role involves leading enterprise sales for Databricks in the Swiss Pharma/Life-Science sector, focusing on big data and AI solutions. Candidates must have extensive experience in direct enterprise software sales, executive relationship management, and complex regulated industries.
This role involves managing strategic enterprise clients in the Retail vertical for Databricks, focusing on expanding the company's footprint and driving revenue growth. Candidates must have 7+ years of enterprise sales experience, a Bachelor's degree, and the ability to simplify technical capabilities into value-based benefits.
This role involves managing a strategic Retail/OEM account in Germany, focusing on building C-level relationships and closing new business opportunities. Candidates must have proven enterprise sales experience in the Retail domain and strong consultative skills in data and AI solutions.
This role is a Strategic Account Executive for Databricks' Public Sector team, focused on selling to Federal System Integrators. Candidates must have 7+ years of enterprise sales experience, FSI relationships, and a Bachelor's degree.
This role involves selling Databricks' data and AI platform to financial services clients in France. Candidates must have enterprise sales experience, executive relationship management skills, and fluency in French and English.
This role is an enterprise sales position based in Rio de Janeiro focused on increasing Databricks consumption for Petrobras. Candidates must have direct account experience with Petrobras and a successful history in incremental consumption sales models.
This role involves acquiring strategic digital native enterprises in the Greater China Region by prospecting new accounts and growing existing ones. Candidates must have 7+ years of SaaS sales experience, Mandarin proficiency, and expertise in solution-based selling.
This role involves acquiring strategic digital native enterprises in the Greater China Region by prospecting new accounts and growing existing ones. Candidates must have 7+ years of SaaS sales experience, proficiency in Mandarin, and a solution-focused approach to selling Databricks' cloud data platform.
This role is an Enterprise Account Executive for Databricks focusing on CMEG accounts. Candidates need 7+ years of enterprise sales experience and a Bachelor's degree.
This role involves selling Databricks' data platform to large healthcare and payer accounts, focusing on growing a single strategic client. Candidates must have 7+ years of sales experience, field sales background in big data or SaaS, and the ability to manage complex sales cycles.
This role involves selling Databricks' data platform to large healthcare accounts, focusing on growing two strategic provider relationships. Candidates must have 7+ years of sales experience, field sales background in big data or SaaS, and the ability to manage complex sales cycles.
This role involves selling Databricks' data platform to large pharmaceutical accounts, focusing on expanding customer vision and closing deals. Candidates must have 7+ years of sales experience, a Bachelor's degree, and expertise in big data or cloud technologies.
This role involves selling Databricks' data platform to a single strategic pharmaceutical account in the Northeast US. Candidates must have 7+ years of sales experience, field sales background in big data or SaaS, and the ability to manage complex enterprise deals.
This role involves selling Databricks' data platform to a strategic medical device account within the Life Sciences division. Candidates must have 7+ years of sales experience, field sales background in big data or SaaS, and the ability to manage complex enterprise deals.
This role involves selling Databricks' data and AI platform to large enterprises in the Media segment in France. Candidates must have extensive direct sales experience, executive relationship management skills, and fluency in French and business English.
This role involves identifying and securing new opportunities within France's leading enterprise accounts for Databricks. Candidates must have extensive hunting experience, a track record in selling complex technical cloud solutions, and fluency in French and English.
This role is an Enterprise Account Executive within Databricks' Public Sector Sales team, responsible for closing net new accounts and driving platform adoption in the Australian Federal Sector. Candidates must have proven enterprise or public sector sales experience, strong communication skills, and a strategic approach to managing the end-to-end sales cycle.
The Strategy & Execution Manager supports Databricks' Partner Strategy & Operations team by scaling partnerships strategy and leading cross-functional initiatives. The role requires 7+ years of strategy and operations experience, strong analytical skills, and the ability to manage high-impact programs with executive stakeholders.
This role manages demand generation programs across the APJ region for Databricks, partnering with Sales Development to build AI-native top-of-funnel engines. Candidates must be AI-fluent, operationally rigorous, and skilled in SQL and data analysis to design, execute, and optimize high-volume demand gen initiatives.
The role involves designing and implementing systems for query engines, vector databases, and storage within the Database Engine team. Candidates must hold a PhD in databases or systems and demonstrate a passion for database and distributed systems.
The role involves designing and implementing systems for query engines, vector databases, and storage within the Database Engine team. Candidates must hold a PhD in databases or systems and demonstrate a passion for database and distributed systems.
This role involves architecting tax process redesigns and building automation solutions to manage finance data pipelines for the global tax organization. Candidates must have 6+ years of experience in tax automation or data engineering, with proficiency in SQL, Python, and the Databricks platform.
This role leads platform monitoring and incident response for the Databricks Platform, focusing on observability and customer reliability. Candidates must have 6+ years of SRE experience, 2+ years leading engineers, and proficiency in cloud providers, Kubernetes, and monitoring tools.
The role involves leading a team of 10-15 Executive Assistants supporting G&A functions in Costa Rica and Serbia. Candidates must have 5+ years of management experience, a Bachelor's degree, and strong communication skills in English and Spanish.
This role is a Tech Lead Manager for Lakebase in London, responsible for leading a small team of five to six engineers while remaining hands-on with architecture and coding. Candidates must have at least five years of engineering experience, strong technical depth in distributed systems, and people management or tech lead experience.
The Technical Business Development Manager runs Databricks' startup program and founder events in San Francisco. The role requires strong AI technical skills, operational discipline, and relationship-building with founders and venture firms.
This role leads the development of AI-native onboarding programs for new Field Engineers at Databricks. The specialist must build scalable enablement solutions and codify role-readiness standards for technical GTM teams.
The Technical Program Manager role involves leading commercial delivery for the Forward Deployed Engineering team, managing projects from single individuals to multi-person teams. Candidates must have experience leading enterprise-scale data or AI/ML projects and managing teams with contract values over $0.5 million.
The role involves leading a portfolio of complex, high-visibility technical programs within Databricks' Professional Services Operations. Candidates must have 5-8 years of experience managing technical programs and obtain PMP and Databricks Associate certifications within six months.
This role leads a portfolio of complex, high-visibility technical programs within Databricks' Forward Deployed Engineering division. Candidates must have extensive experience managing technical programs and intermediate technical fluency, with a Databricks Associate-level Certification required within six months.
The Delivery Solutions Architect role involves collaborating with sales and field engineering teams to accelerate Databricks platform adoption and utilization. Candidates must provide technical guidance for complex workloads and design scalable, secure architectures.
The Accounts Payable Specialist supports the Finance team by managing end-to-end AP processes, including invoice processing, reconciliation, and vendor management. The role requires 2-5 years of AP experience, proficiency with ERP systems like NetSuite, and strong analytical skills.
The AV Operations Specialist manages conference room AV systems and provides Tier 1 IT support in San Jose. The role requires 2-3 years of experience in IT or AV support, including knowledge of AV/VC systems, device management tools, and operating systems.
The Commercial Operations Associate plans and executes humanoid robot deployments for Figure. The role requires a bachelor's degree, 3-6 years of experience, and strong leadership and communication skills.
This role involves tracking commercial use case progress, reporting KPIs, and coordinating across teams to drive action items to closure. Candidates must be a rising senior or recent graduate with strong organizational skills and comfort working with data in spreadsheets.
The role involves maintaining and repairing industrial automation equipment, including conveyors, motors, and sensors, for a robotics company. Candidates must have five years of technician experience and the ability to work independently on a night shift.
The Data Quality Analyst role involves using proprietary tools to label objects, poses, and interactions in robot data for AI training. Candidates must demonstrate strong attention to detail, clear communication, and the ability to learn new software quickly.
The Deployment Engineer (Data Collection) role manages technical challenges for Figure's robot data collection system, bridging field operations and core engineering. Candidates require 3-5+ years of experience in automotive or industrial automation, an engineering degree, and the ability to work hands-on with electro-mechanical systems.
The Deployment Engineer supports the deployment and development of humanoid robots at customer sites in San Jose. The role requires an engineering degree and 3-5+ years of experience in automotive or industrial automation, with proficiency in Linux or Python.
This role supports the Commercial Operations team by triaging field issues, reproducing problems, and documenting solutions for humanoid robots. Candidates must be currently pursuing a relevant engineering or computer science degree and possess strong technical writing and debugging skills.
The Developer Productivity Intern role involves designing infrastructure and tools to accelerate the software development lifecycle at Figure. Candidates must be a rising senior or recent CS graduate with strong Linux fundamentals and proficiency in Go, Rust, C++, or Python.
The role involves designing and testing motor control and power electronics hardware for humanoid robots. Candidates must have a degree in Electrical Engineering, 2+ years of experience, and proficiency in Altium Designer and mixed-signal PCB design.
The role involves designing and testing critical hardware components for Figure's humanoid robots, including PCBAs for compute boards and power systems. Candidates must have a degree in Electrical Engineering, 2+ years of industry experience, and mastery of Altium and hardware debugging.
This role supports the design and testing of critical hardware components, including PCBAs, power distribution boards, and motor controllers, for Figure's humanoid robots. Candidates must be an undergraduate senior or recent graduate in Electrical Engineering with hands-on experience in PCB design, EDA tools, and power, digital, and analog electronics.
The role involves building and improving core software infrastructure for Figure's robot fleet, focusing on OTA and firmware update systems. Candidates must be a rising senior or recent graduate with strong programming skills in C, C++, Rust, or Python, plus experience with Linux and networking.
The Fabricator role involves working in the manufacturing machine shop to fabricate complex parts and support tooling for robot lines. Candidates must have 5+ years of experience, strong welding and fabrication skills, and proficiency with manual mills and lathes.
The Facilities Coordinator manages the end-to-end building operations, security, and vendor management for Figure's new Mexico City data unit. The role requires 4+ years of facilities experience, autonomy in vendor management, and professional English proficiency.
The Facilities Coordinator manages the building operations, security, and third-party vendors for Figure's São Paulo data unit. The role requires 4-8 years of facilities experience and professional English proficiency to establish processes for a growing operation.
The role involves maintaining and troubleshooting humanoid robots and site infrastructure at commercial locations. Candidates need 3+ years of experience with complex systems and mechanical/electrical diagnostic skills.
The role is a full-time, on-site Finance Operations Manager position in São Paulo, Brazil, focused on building the financial foundations for Figure's new Brazilian unit. Key requirements include a degree in finance or related fields, 5+ years of experience in operations finance, and proficiency in financial modeling and ERP systems.
This role supports Figure's humanoid robots by handling board bring-up, firmware development, and integration testing. Candidates must be fluent in C, C++, and Python with experience in low-level software and hardware integration.
This role involves leading hardware bring-up and writing diagnostic firmware for robotic systems at JDM partner sites in Asia. Candidates must have strong C/C++ skills, hardware literacy, and experience with manufacturing processes and embedded communication protocols.
The Fleet Launch Operator manages the safe movement, loading, and delivery of humanoid robots and equipment using company vehicles. The role requires 2+ years of logistics experience, a valid driver's license, and the ability to lift 50 lbs.
The Gear Machinist role involves designing, producing, and inspecting precision gears for Figure's humanoid robots. Candidates must have 10+ years of experience and proficiency in gear hobbing, skiving, and CNC operations.
The Global Supply Manager for EE and Semiconductors develops and executes a global sourcing strategy for humanoid robot components. The role requires 7+ years of experience in semiconductor sourcing, a BS in Engineering, and the ability to manage supplier lifecycles and long-term agreements.
The role involves overseeing the R&D facility for robot use case testing and leading end-to-end workcell builds from design to maintenance. Candidates require 5+ years of experience in space planning, industrial facility management, or hardware project management, along with CAD software proficiency.
This role is an 8-12 month Hardware Test Engineering Internship in San Jose, CA, focused on designing and validating electromechanical test stations for humanoid robots. Candidates must be pursuing an engineering degree with at least two years completed and possess hands-on experience with mechanical and electrical systems.
The role involves designing and building wire harnesses and custom cables for test setups in a fast-paced prototyping environment. Candidates must meet IPC/WHMA standards, read technical drawings, and perform electrical tests to support engineering teams.
The Android lead will own Figure's consumer app end to end, setting technical direction and shipping the platform. The role requires 6+ years of experience, expertise in Kotlin and Jetpack Compose, and deep knowledge of camera and media pipelines.
The role involves building backend services and infrastructure for Figure's consumer mobile application, including auth, payments, and tooling. Candidates must have 5+ years of experience building production backend systems at scale with strong distributed systems fundamentals.
The role involves designing and maintaining tools for offloading, storing, and manipulating robot data across on-premise and cloud environments. Candidates must have strong software engineering fundamentals and at least four years of experience building reliable backend systems.
The role involves architecting real-time localization and state estimation systems for humanoid robots by fusing multi-modal sensor data. Candidates must have deep expertise in nonlinear optimization, 3D geometry, and performant C++ software development.
The role involves developing perception systems for humanoid robots, including computer vision, localization, and visuomotor policies. Candidates must have extensive production-level software and ML experience, strong mathematical foundations, and domain expertise in areas like 3D Vision or SLAM.
The role involves optimizing distributed training frameworks and GPU kernels for large-scale model training at Figure. Candidates must have 3+ years in AI performance engineering and deep knowledge of GPU architecture, profiling tools, and collective communication.
The role involves leading the development of large-scale video foundation models trained on diverse real-world and robot-collected data. Candidates must have experience training large-scale models on video data and proficiency in Python and PyTorch.
The role involves building and maintaining XR products to interface with Figure's humanoid robots and data-capture hardware. Candidates must have deep hands-on XR development experience, strong C++ skills, and experience with video streaming and motion-capture systems.
This role involves operating humanoid robots for commercial use cases, testing new behaviors, and filing JIRA tickets for identified issues. Candidates must be able to stand for 8+ hours, lift up to 50 lbs, and have experience with robots or troubleshooting mechanical systems.
This role involves operating humanoid robots for commercial use cases, testing new behaviors, and filing JIRA tickets for identified issues. Candidates must be able to stand for 8+ hours, lift up to 50 lbs, and have experience with robots or troubleshooting mechanical systems.
This role involves operating humanoid robots on a night shift to test behaviors and validate commercial use cases. Candidates must identify issues, file JIRA tickets, and maintain safety and cleanliness standards.
This role involves operating humanoid robots in the field or on customer sites to test and validate new behaviors. Candidates must follow maintenance procedures, track issues in Jira, and adhere to safety protocols while physically managing hardware for 8+ hours daily.
This role involves operating humanoid robots in the field or on customer sites to test and validate new behaviors. Candidates must follow maintenance procedures, track issues in Jira, and adhere to safety protocols while physically managing hardware for 8+ hours daily.
The Humanoid Robot Pilot role involves wearing teleoperation equipment to guide robots and collect data for AI training in San Jose, CA. Candidates must have excellent physical coordination, spatial awareness, and the ability to stand for 8+ hours daily.
The role is an Inventory Accounting Manager responsible for owning inventory and cost accounting processes, including ERP and operational system integration. Candidates require a bachelor's degree, 8+ years of accounting experience, and 5+ years in cost and inventory accounting at a hardware or manufacturing company.
The Client Engineer owns Figure's endpoint fleet across campus, factories, and field sites, managing device issuance, hardening, and recovery. The role requires hands-on experience with macOS, Windows, and Ubuntu endpoint management, SSO integration, and scripting to automate IT operations.
The role involves leading IT support, device fleet management, and network administration for a new data operations unit in Mexico City. Candidates must have 4+ years of IT experience, proficiency with Apple MDM and Google Workspace, and professional English skills.
The role is an on-site IT Operations Specialist in São Paulo responsible for user support, Apple device fleet management, and office network administration. Candidates require 4-8 years of IT experience, proficiency with macOS and Google Workspace, and professional English.
The role involves designing and validating End of Line (EOL) testers for Figure's humanoid production line. Candidates must have 5+ years of industry experience and solid electrical engineering fundamentals.
The Manufacturing Engineer role involves designing the build process for scaling Figure's robot fleet and setting up internal build lines for module and full system assemblies. Key requirements include expert knowledge of manual and automated assembly techniques, experience with Manufacturing Execution Systems (MES), and proficiency in 3D CAD software.
The Manufacturing Equipment Technician supports the Manufacturing Engineering Team by maintaining and improving assembly lines for humanoid robots. The role requires experience with high-tech manufacturing tools, automation, and complex equipment, along with the ability to develop maintenance programs and standard operating procedures.
The Manufacturing Quality Engineer role oversees production quality on in-house assembly lines and leads new product introduction quality activities. Candidates require 7+ years of experience in high-volume electromechanical manufacturing and a bachelor's degree in a related technical field.
The role involves writing, troubleshooting, and maintaining end-of-line software for programming, calibrating, and verifying subassemblies. Candidates must have 5+ years of experience with Python, C++, and embedded stacks to develop automation tests and GUI screens.
The Materials Handler supports procurement, inventory management, and kitting for commercial deployment and data operations teams. The role requires experience in materials handling or warehouse operations, proficiency with inventory systems, and the ability to lift up to 50 lbs.
The role involves designing, testing, and implementing key hardware components for Figure's humanoid robots. Candidates must have 3+ years of mechanical engineering experience and a degree in a related field.
This role involves designing, testing, and implementing hardware components for Figure's humanoid robots. Candidates must have mechanical engineering experience with 3D CAD, prototyping, and documentation skills.
The role involves designing, testing, and implementing hardware components for humanoid arms at Figure. Candidates must have 2+ years of mechanical engineering experience and a relevant degree, with expertise in 3D CAD, prototyping, and electromechanical integration.
The role involves designing, testing, and implementing key hardware components for Figure's humanoid robots. Candidates must have 2+ years of mechanical engineering experience and a degree in a related field, with expertise in 3D CAD, prototyping, and electromechanical integration.
The role involves designing softgoods and plastic parts for humanoid robots using 3D CAD and injection molding processes. Candidates must have 5+ years of mechanical engineering experience and a degree in a related field.
The role involves designing structural parts and assemblies for robot hands, including FEA, GD&T drawings, and NPI production support. Candidates need 2+ years of mechanical engineering experience, a degree, and expertise in 3D CAD and structural analysis.
This role involves rebuilding core middleware services that manage the lifecycle of robot software modules and creating C++ CLI/TUI tooling. Candidates must be a rising senior or recent CS graduate fluent in modern C++ with a deep understanding of Linux.
The Mobile Service Technician role involves traveling to customer sites to troubleshoot and repair Figure's humanoid robot fleet. Candidates must have 3+ years of experience with complex systems and proficiency in mechanical, electrical, and software diagnostics.
The NPI Buyer/Planner role manages material readiness for new product introductions, converting immature BOMs into purchase orders and build schedules. Candidates require 3-5 years of experience in buying or planning, with at least 2 years supporting NPI or prototype builds in complex electromechanical hardware.
The Operations & Logistics Coordinator manages internal logistics for Figure's São Paulo unit, including receiving, organizing, and distributing equipment. The role requires 4-8 years of experience in logistics or warehouse coordination and the ability to design processes.
The role involves designing PCB layouts for new and existing humanoid robot hardware, managing fabrication files, and collaborating with cross-functional engineering teams. Candidates require 5+ years of experience, strong proficiency in Altium, and expertise in power converters, flex/rigid flex, HDI, and DFx design.
The role is a full-time, on-site People Coordinator position in Mexico City responsible for building People operations from scratch, including recruitment, onboarding, and HR administration. Candidates must have 4+ years of generalist HR experience and professional English proficiency to coordinate with US teams.
This role is responsible for building People operations in Figure's new São Paulo unit, managing recruitment, onboarding, and CLT administration. The position requires 4-8 years of generalist HR experience, proficiency in Brazilian labor law, and professional English.
The role involves designing and testing power electronics hardware for Figure's humanoid robots, including charging products and power architectures. Candidates must have a degree in Electrical Engineering and 4+ years of experience designing and shipping power electronics products.
The Product Compliance Engineer develops safety certification and compliance strategies for Figure's humanoid robots, driving end-to-end regulatory compliance from design to launch. The role requires a Bachelor's degree in a related engineering field and at least five years of experience in product safety engineering within regulated hardware domains.
The Production Lead role involves driving daily execution on the factory floor by coordinating work across teams and resolving issues in real time. Candidates must have an AS degree or equivalent experience, 3+ years in regulated manufacturing, and 1+ year in a leadership role.
The Production Lead role involves driving daily execution on the factory floor by coordinating work across teams and resolving issues in real time. Candidates must have an AS degree or equivalent experience, 3+ years in regulated manufacturing, and 1+ year in a leadership role.
The role involves leading daily data collection operations for a humanoid robotics company in Mexico City. Candidates must have at least two years of experience in operations or shift supervision and be available for rotating shifts.
The role involves developing, training, and deploying reinforcement learning algorithms for whole body control of humanoid robots. Candidates must have strong backgrounds in dynamics and control, with experience in RL algorithms like PPO and SAC.
The role involves performing routine maintenance and troubleshooting mechanical, electrical, and software issues for a humanoid robot fleet. Candidates must have three or more years of experience with complex systems and proficiency in diagnostic tools.
The Robot Service Technician role involves performing routine maintenance and troubleshooting mechanical, electrical, and software issues for Figure's humanoid robot fleet. Candidates must have at least three years of experience with complex systems and proficiency in using diagnostic tools and assembly documentation.
The role involves conducting security assessments and building tooling for the robot and backend services. Candidates need strong software engineering skills and experience in application security, embedded systems, and secure development.
The role involves designing and implementing detection and response tooling for Figure's infrastructure, including endpoints, networks, and cloud environments. Candidates must have strong software engineering skills and 6+ years of experience in security monitoring or related roles.
This role is a senior, hands-on individual contributor position on the Security & Privacy team at Figure. The engineer will build endpoint hardening controls, manage identity and access, and design application authentication using configuration-as-code and GitOps.
The role is a senior, hands-on individual contributor position focused on designing and managing security controls for backend services and infrastructure. Candidates require 6+ years of security or software development experience and strong engineering skills in languages such as C/C++, Rust, Golang, or Python.
The role involves conducting security assessments for embedded systems, hardware designs, and software integrations while building tooling for secure development. Candidates must have strong electrical engineering skills, experience in hardware reverse engineering, and a solid foundation in low-level software security.
The role involves building, integrating, and maintaining complex robotic systems and test assets in a hands-on capacity. Candidates must have 5+ years of experience troubleshooting electromechanical systems and proficiency with diagnostic equipment and Linux/Python.
The Senior Gear Design Engineer owns end-to-end gear and transmission design for humanoid robot hands, managing sizing, validation, and mass manufacturing. The role requires 7+ years of experience, a degree in mechanical engineering, and proficiency in KISSsoft and CATIA.
This senior role involves owning end-to-end HR operations, including employee lifecycle management, payroll, benefits, and compliance for hourly workforces. Candidates require 6+ years of People Operations experience in tech or robotics, with strong skills in HRIS administration and California employment law.
The role involves designing and building the core middleware framework for Figure's humanoid robots, focusing on efficiency and low latency. Candidates must have at least 7 years of C++ experience and a mastery of Modern C++.
The Shift Coordinator manages daily data collection operations, sequencing work between Data Creators and stations to meet production and quality targets. The role requires 1-2+ years of experience in operations or shift supervision, the ability to make real-time decisions, and professional-level English.
The Night Shift Coordinator leads a team of humanoid robot operators in San Jose, managing overnight operations, safety, and performance metrics. The role requires 5+ years of leadership experience in fast-paced manufacturing or operations environments and the ability to make independent decisions under pressure.
The role involves designing and implementing privacy-enhancing technologies and data governance services for Figure's humanoid robots and backend systems. Candidates must have strong software engineering skills in C/C++, Rust, Golang, or Python, along with 8+ years of experience in privacy engineering or related security roles.
The role involves building and maintaining in-house software for service, logistics, and operations, including ticketing and fleet tracking. Candidates must have 4+ years of experience, a CS degree, and proficiency in Python, TypeScript, and Linux.
The Software Integration Engineer role involves owning core software features end-to-end for Figure's robotic stack, bridging AI, Controls, Firmware, and Hardware. The position requires strong debugging skills, C++ and Python programming experience, and a degree in Computer Science or a related field.
This role involves developing robot behaviors and software for external events at Figure, an AI robotics company. Candidates must be graduate students with strong software engineering skills, proficiency in Python, and experience applying AI or machine learning.
The role involves owning the on-board inference architecture for Figure's humanoid robots, mapping AI workloads to heterogeneous compute hardware to optimize latency, power, and cost. Candidates require an M.S. or Ph.D. in a related field and at least 8 years of industry experience in hardware acceleration, ML systems, or compute architecture.
The Staging Specialist supports offsite data collection by traveling to homes across the country to set up realistic environments for training humanoid robots. The role requires 75%+ travel, physical work, and experience in set design or similar hands-on operations.
The State Estimation Engineer owns architecture and algorithm development for a next-generation data collection system powering humanoid robot teleoperation and trajectory reconstruction. The role requires 4+ years of experience in multi-sensor fusion, state estimation, and high-performance C++ development.
The Supplier Quality Engineer role involves onboarding new vendors and evaluating their quality within BotQ Manufacturing. The position requires a strong mechanical background, expertise in GD&T, and experience with root cause analysis and continuous improvement methodologies.
The Supply Chain Analytics Intern will own supplier ramp and sourcing readiness toolsets for the Global Supply Management team. The role requires advanced Excel, SQL or Python, and working knowledge of hardware supply chain basics.
The Systems Integration Engineer role focuses on actuation systems for humanoid robots, collaborating with cross-functional teams to deliver robust systems. Candidates require 5+ years of experience in robotic or electromechanical systems, proficiency in Matlab and Python, and a strong understanding of mechanics and controls.
The Systems Integration Engineer integrates dexterous hand subsystems into humanoid robots, collaborating with mechanical, electrical, controls, and software teams. The role requires 5+ years of experience in robotic or electromechanical systems, proficiency in C++ and Python, and a degree in a related engineering field.
The Technical Coordinator manages hardware, inventory, and maintenance for data capture equipment in Mexico City. The role requires 2+ years of practical experience in electronic or electromechanical troubleshooting and professional English for technical documentation.
The Technical Coordinator manages hardware, inventory, and maintenance for Figure's data capture unit in São Paulo. The role requires 2+ years of electronics maintenance experience, troubleshooting skills, and the ability to document technical issues for remote engineering teams.
The role involves designing and maintaining automated testing infrastructure for Figure's CI, HIL, and system-level validation environments. Candidates must have 3-5 years of experience in test automation or embedded systems validation, with proficiency in Python and Linux.
This role supports the design, automation, and execution of system-level validation for Figure's humanoid robots. Candidates must have strong electrical engineering fundamentals and proficiency with Python.
The role involves designing and integrating wire harness and electrical interconnect systems for humanoid robotic platforms. Candidates must have 3+ years of experience in wire harness design and strong proficiency in 3D CAD tools.
The Cybersecurity Architect role leads system-level security activities for robotics products, focusing on architecture, risk assessment, and compliance with standards like IEC 62443. Candidates require a degree in engineering or related fields and 3-7 years of experience in OT/ICS environments.
The role involves developing functional safety concepts and architectures for robotic and mechatronic systems for European and North American markets. Candidates must have at least five years of experience in functional safety engineering and strong knowledge of standards such as ISO 13849 and IEC 60204-1.
The Robotics Application Engineer designs and implements robotic automation solutions for laboratory environments, working with customers and partners to integrate Franka robotic arms with lab equipment. The role requires a degree in robotics or related fields, practical experience in lab automation, and proficiency in ROS2, C/C++, and Python.
The role involves managing customer service, issue resolution, and financial performance for GeekPlus accounts in the Project Delivery & Operations department. Candidates must have at least two years of customer service experience, strong communication skills, and bilingual proficiency in Chinese and English.
The Administrative Assistant (CN Bilingual) role manages day-to-day office operations, vendor relations, and HR support in Suwanee, Georgia. Candidates must have at least one year of office administration experience and working-level proficiency in Chinese.
The role involves leading onsite deployment and controls integration for robotic systems, including PLC programming and project execution. Candidates must have hands-on industrial controls experience and be able to travel 80%+ to client sites.
The Deployment Engineer serves as the primary point of contact for project managers and customers to coordinate robotic systems deployment and maintenance. The role requires deep understanding of autonomous mobile robot hardware, troubleshooting techniques, and the ability to manage site implementation across multiple teams.
The Deployment Engineer coordinates robotic systems deployment and maintenance at customer sites while managing contractors and hardware inspections. The role requires experience in warehouse automation, electrical and mechanical installation, and troubleshooting autonomous mobile robots.
The Field Operations Engineer in Chile coordinates robotic systems deployment and maintenance at customer sites. The role requires managing contractors, conducting hardware inspections, and troubleshooting autonomous mobile robots.
The role supports US financial operations, focusing on invoicing, accounts receivable, expense and tax support, inventory supervision, and budget coordination. Candidates must be recent graduates with a degree in finance or accounting, bilingual English and Chinese skills, and proficiency in Microsoft Excel.
The Hardware Integration Engineer role involves managing on-site hardware implementation for WES/WMS projects, including vendors, production support, and equipment. Candidates must be bilingual in Chinese and have 3-5 years of relevant hardware implementation experience.
The Project Manager role involves leading AMR project teams to deliver warehouse automation projects within agreed specifications, budgets, and timelines. Candidates must have at least two years of experience in the logistics or AMR industry and a bachelor's degree in engineering or business management.
The role involves leading AMR project teams in the logistics industry to deliver warehouse automation projects within agreed specifications, budgets, and timelines. Candidates must have at least two years of experience as a Project Manager in logistics or AMR, possess strong communication skills, and be fluent in English.
The Regional Sales Manager role focuses on developing relationships with key accounts and managing a network of industry partners to grow sales and market share. Candidates require a bachelor's degree and 3-5 years of customer-facing experience with strong technical knowledge.
The role involves partnering with the Sales VP to execute strategy, govern opportunities, and control forecast quality. Candidates must be bilingual in Chinese and English with over 10 years of experience in sales operations or revenue management.
The Senior Network Engineer role involves designing and operating enterprise hybrid cloud network architecture, integrating public clouds with on-premise environments. The position requires expert knowledge of AWS networking, VPN, SASE, and SD-WAN technologies, along with bilingual English and Mandarin skills.
The role involves designing and leading end-to-end robotic automation solutions for logistics and supply chain environments. Candidates must have 5+ years of experience in logistics automation or robotics and strong project leadership capabilities.
The role involves serving as a primary point of contact for clients to design and deliver customized AMR automation solutions. Candidates must be bilingual in Portuguese and English, hold a relevant bachelor's degree, and possess AutoCAD 2D layout proficiency.
The Solution Engineer role involves designing and delivering AMR automation solutions for clients while serving as the primary point of contact. Candidates must have a bachelor's degree, Portuguese and English proficiency, and experience in warehousing automation.
The Solution Engineer serves as the primary point of contact for partners and clients to identify and deliver comprehensive automation solutions. The role requires a Bachelor's degree, AutoCAD 2D proficiency, and proven experience in warehousing automation or logistics.
The System Consultant serves as a trusted partner to clients, providing guidance on software for advanced mobile robotics solutions. The role requires 5+ years of Material Handling software experience and a BS/MS in a related field.
The role involves providing first-level technical support for Geek+ systems and customers, requiring fluent English and Mandarin. Candidates must have at least one year of IT support experience and a Computer Science degree, with SQL and Crystal Report skills preferred.
The role involves conducting in-depth troubleshooting and resolution of complex technical issues escalated from L1 support, including system anomalies and integration failures. Candidates must have a bachelor's degree and at least three years of experience in system support or operations, with proficiency in MySQL, Linux, and Java.
This role is a full-time, onsite internship for an AI Research Intern focused on developing foundation models for physical AI and manufacturing. Candidates must have research experience in foundation models for robot manipulation, proficiency in Python and PyTorch, and experience with simulation environments or robotics middleware.
The HR & Payroll Generalist owns the entire employee experience, including onboarding, payroll, benefits, and compliance at GrayMatter Robotics. The role requires 6+ years of HR experience, multi-state compliance knowledge, and proficiency in HRIS tools like UKG.
The IT Systems Engineer serves as the primary escalation point for internal infrastructure, fleet management, and customer site support. The role requires 2 to 5 years of experience in IT systems administration, with strong knowledge of Linux, networking, and scripting.
The Program Manager owns end-to-end delivery of a multi-year, defense-scale manufacturing build-out for a major U.S. shipbuilding program. The role requires 10+ years of experience in complex engineering environments and the ability to coordinate robotic applications and federal qualification processes.
The Project Coordinator supports Aerospace & Defense robot cell projects from design through deployment and activation. The role requires a bachelor's degree, 2-4 years of project coordination experience, and proficiency in scheduling tools.
The Research Administrator joins the Government Projects team to prepare proposals and manage compliance for awarded contracts. The role requires a bachelor's degree and at least two years of experience in government contracting, compliance, or financial administration.
This paid internship supports robotic surface treatment applications on the Customer Success team in Carson, CA. Candidates must have a bachelor's degree in a related field and experience with C++/Python.
The Robotics Software Engineer develops and implements algorithms for high-DOF robotic systems in manufacturing environments. The role requires a Master's degree, 2+ years of experience, and proficiency in C++, Python, and ROS2.
The Strategic Sales Development Representative role involves building GMR's outbound sales engine by conducting high-volume, multi-channel outreach to manufacturing prospects. Candidates must demonstrate strong communication skills, the ability to work in ambiguous environments, and a results-driven mindset to book qualified opportunities for Account Executives.
The Senior Robotics Engineer: Perception role involves developing algorithms and architecture for production software by working with physical robots, sensors, and tools. Candidates must have a Master's degree, 2+ years of industry experience, and proficiency in C++ and Python for high-DOF robotic systems.
The Senior Robotics Design Engineer leads the design, implementation, and testing of complex robotic systems for government projects. The role requires 5+ years of experience with six-axis industrial robots, 3D CAD modeling, and robotic workcell design.
The role involves designing and implementing robust C++ and ROS/ROS 2 architectures for robotic systems in the Carson, CA office. Candidates must have 8+ years of production C++ experience and strong skills in concurrency, real-time programming, and debugging embedded systems.
The Senior Design Engineer role involves designing and testing robotic hardware systems for manufacturing applications. Candidates must have a BS/MS in Mechanical Engineering and 8+ years of experience with CAD, prototyping, and manufacturing processes.
The Supply Chain Manager will develop and execute procurement processes, source suppliers, and manage vendor relationships to optimize costs. The role requires a Bachelor's degree and 8+ years of experience in purchasing or procurement within a hardware or electronics business.
The Account Executive role focuses on commercial expansion in Europe by identifying and closing B2B opportunities for enterprise and mid-market clients. Candidates must have 10+ years of B2B GTM experience, a Master's degree, and proven success in exceeding sales targets.
The role is the first Head of Brand, responsible for leading a brand relaunch and building a five-year brand strategy for an AI company. Candidates must have 5+ years in B2B SaaS brand or marketing experience and a track record of leading brand repositioning.
The Content Manager role involves owning global content strategy and production for an AI company, reporting to the head of marketing. Candidates must have 5+ years of B2B tech content experience and the ability to write in both bold and precise registers.
The Deployment Strategist serves as the strategic link between customers and the engineering team, identifying key multi-step tasks to automate with AI agents. The role requires 3+ years of experience selling complex IT solutions, fluency in a backend language, and strong communication skills.
The Deployment Strategist serves as the strategic link between customers and the engineering team, identifying key multi-step tasks to automate and integrating AI agent solutions. The role requires 3+ years of experience selling complex IT solutions, fluency in a backend language, and strong communication skills.
The Deployment Strategist serves as the strategic link between customers and the engineering team, identifying key multi-step tasks to automate with AI agents. The role requires 3+ years of experience selling complex IT solutions, fluency in a backend language, and strong communication skills.
The Executive Business Partner to CEO works alongside the CEO as a strategic partner, managing the CEO's agenda, priorities, and complex international travel. The role requires 6+ years supporting C-level executives, strong business judgment, and fluency in English and French.
The Forward Deployed Engineer role involves integrating AI agents into customer systems and building production-grade services. Candidates require 3+ years of AI experience, heavy Python fluency, and strong customer-facing communication skills.
This role supports the CEO by managing agendas, relationships, and cross-team projects within the Operations department. Candidates need 2-5 years of experience in strategy, operations, or VC, with strong English and French communication skills.
The role involves identifying customer tasks for automation and integrating AI agents with customer systems. Candidates require 3+ years of AI and software engineering experience, heavy Python fluency, and customer-facing communication skills.
The role involves integrating AI agents into customer systems and building production-grade services to automate multi-step tasks. Candidates require 3+ years of AI and software engineering experience, heavy fluency in Python, and strong customer-facing communication skills.
The role involves integrating AI agents into customer systems and building production-grade services to automate multi-step tasks. Candidates require 3+ years of AI and software engineering experience, heavy fluency in Python, and strong customer-facing communication skills.
The Implementation Strategist serves as the strategic link between customers and the engineering team, identifying key multi-step tasks to automate with AI agents. The role requires 3+ years of experience selling complex IT solutions, fluency in a backend language, and strong communication skills.
The role involves owning GPU compute infrastructure for model training and serving within the Infrastructure team. Candidates must have experience running Kubernetes clusters for GPU workloads and debugging at the OS layer.
The role involves owning GPU compute infrastructure for model training and serving within the Infrastructure team. Candidates must have experience running Kubernetes clusters for GPU workloads and debugging at the OS layer.
The role involves owning infrastructure for H's products, including Kubernetes clusters, networking, and security. Candidates must have experience building and operating Kubernetes platforms at scale and working with multiple cloud providers.
The role involves owning infrastructure for H's products, including Kubernetes clusters, networking, and security. Candidates must have experience building and operating Kubernetes platforms at scale and working with multiple cloud providers.
The role involves drafting and negotiating commercial and AI contracts, including service agreements and liability terms, for a Paris-based company building computer-use agents. Candidates must have a law degree, 3-5 years of experience, and strong knowledge of data protection, IP, and contract law.
The Online Engine Lead owns H's website, organic visibility, and paid acquisition to generate qualified enterprise pipeline. The role requires 6+ years in digital marketing, technical SEO, and agency management, with strong analytics and HubSpot skills.
The Product Designer role focuses on creating agentic AI workflows for the H Platform, requiring strong user research and iterative design skills. Candidates must have 5+ years of experience, proficiency in Figma, and the ability to design complex technical products.
The Product Designer role focuses on creating agentic AI workflows for the H Platform, requiring strong user research and iterative design skills. Candidates must have 5+ years of experience, proficiency in Figma, and the ability to design complex technical products.
The role involves developing and training advanced LLMs and VLMs for agentic AI applications, focusing on post-training and reinforcement learning techniques. Candidates must have strong programming skills in Python or Rust, proficiency in deep learning frameworks, and experience with distributed training and RL methods.
The role involves developing and training advanced LLMs and VLMs for agentic AI applications. Candidates must have strong programming skills, deep learning expertise, and experience with large-scale distributed training.
The role involves building and operating the inference stack for multimodal agentic models while improving latency, throughput, and cost. Candidates must have strong software engineering skills, proficiency in Python and a systems language, and experience with deep learning frameworks and distributed systems.
The role involves building and operating the inference stack for multimodal agentic models while improving latency, throughput, and cost. Candidates must have strong software engineering skills, proficiency in Python and a systems language, and experience with deep learning frameworks and distributed systems.
The role is a Senior Account Executive based in New York City responsible for leading commercial expansion and designing a scalable go-to-market strategy for the US market. Candidates must have 10+ years of B2B GTM experience, including 5 years in a leadership role, and a proven track record in opening new markets.
This senior individual contributor role focuses on outbound pipeline generation, AE support, and trade show execution for GTM operations. Candidates need 3-6 years in revenue-adjacent roles and fluency with pipeline metrics.
The role involves building the H Platform and HoloTab Chrome extension, focusing primarily on React and TypeScript front-end development with occasional Python API changes. Candidates must have shipped production products as a senior engineer and be able to handle live, async data and concurrent code.
The role involves building and maintaining an evaluation framework for computer-use agents, ensuring reliability, speed, and cost-efficiency across 50 to 200 benchmarks. Candidates must have 5+ years of backend development experience with production Python, Kubernetes, and distributed systems.
The role involves building and maintaining an evaluation framework for computer-use agents, ensuring reliability, speed, and cost-efficiency across 50 to 200 benchmarks. Candidates must have 5+ years of backend development experience with production Python, Kubernetes, and distributed systems.
The role involves overseeing the end-to-end recruitment lifecycle and shaping hiring strategies for a fast-growing AI company. Candidates must have 8-10+ years of experience in Talent Acquisition, strong sourcing skills, and full fluency in French and English.
The role involves managing H Company's social media and content strategy across LinkedIn, X, YouTube, and developer channels to build audience engagement. Candidates need 2-6 years of experience in B2B tech communications, native-level English, and the ability to explain complex AI topics to diverse audiences.
The role involves owning the company's speaking programme and managing trade partnerships to position leaders at key events. Candidates need 2 to 6 years of experience in events, partnerships, or communications, with native-level English and strong relationship-building skills.
The role is within the GTM department at H, an AI startup focused on agentic AI. Candidates are expected to work in a hybrid office environment three days a week with occasional travel between offices.
This role owns observability strategy, technical design, and rollout across the company's computer-use agent stack. The candidate must design systems for metrics, logs, and traces while defining SLAs and SLOs with various teams.
This role owns observability strategy, technical design, and rollout across the company's computer-use agent stack. The candidate must design systems for metrics, logs, and traces while defining SLAs and SLOs with various teams.
This role involves building and running an executive-level business development program alongside the CEO at Hume AI. Candidates must demonstrate strong commercial instincts, excellent communication skills, and the initiative to operate close to leadership.
The Marketing Manager role owns Hume's market positioning, product launches, and demand generation for its emotional intelligence infrastructure. Candidates must have 5-8 years of B2B marketing experience with a track record of technical product marketing and pipeline generation.
The Operations Coordinator supports Hume AI's executive team by organizing information, coordinating projects, and managing day-to-day operations. The role requires strong organizational skills, clear communication, and experience in operations or related fields, with recent graduates encouraged to apply.
The Product Designer role involves owning the design of Hume's voice AI platform interfaces, including developer consoles and real-time voice experiences. Candidates must have professional software design experience, strong visual and interaction craft, and fluency in Figma and design systems.
The Research Engineer role involves developing speech-language and audio models through hands-on model development, large-scale training, and rigorous evaluation. Candidates must have at least two years of experience in model training or fine-tuning with large-scale datasets and strong Python and PyTorch skills.
The role involves building production web applications and developer experiences for Hume's voice AI platform using TypeScript, React, and Next.js. Candidates must have significant professional experience, strong proficiency in frontend technologies, and the ability to own features from design through production support.
The Customer Success Engineer partners with customers to deliver complex robotic automation systems and manage long-term lifecycle success. The role requires a bachelor's degree in a technical field, proficiency in C++ or Python, and experience delivering industrial automation solutions into production.
This is a general application for non-technical functions at Intrinsic, an AI robotics group at Google. The role is suitable for candidates with experience scaling non-technical functions from 0-1 who are interested in industrial robotics.
This role supports senior VPs at Intrinsic by designing executive operations and managing complex stakeholder relationships. Candidates need at least five years of executive business partnership experience and advanced proficiency in Google Workspace and AI tools.
The role involves developing full-stack web interfaces for factory orchestration, including client-side rendering, server-side databases, and backend API integrations. Candidates must have at least three years of frontend experience and proficiency in TypeScript, JavaScript, and Rust.
The Legal Operations Manager develops and scales processes for legal teams across Intrinsic and other Alphabet projects, overseeing contract lifecycle management, legal technology, and outside counsel billing. The role requires a BA/BS degree, at least five years of legal operations experience, and strong analytical and communication skills.
The Mechanical Design Engineer role involves designing and building robotic automation systems and custom End-of-Arm Tooling within the Lab Infrastructure team. Candidates must have a degree in Mechanical Engineering or a related field, along with 2 to 4 years of professional experience.
This is a general application for roboticist roles at Intrinsic, an AI robotics group at Google. Candidates should be proficient in modern software development and PLC programming, with experience in building or integrating robotic hardware.
The Robotics & Automation Technician role involves maintaining and operating robotics labs in Munich, including mechanical and electrical assembly, CAD design, and procurement. Candidates require vocational training, practical experience in assembly and troubleshooting, and proficiency in German and English.
The Robotics Software Engineer role involves developing production-ready algorithms for robotic grasping and manipulation in industrial environments. Candidates must have a Master's degree, 5+ years of robotic manipulation experience, and 3+ years programming in C++ and Python.
The Robotics Software Engineer role involves developing production-ready algorithms for robotic grasping and manipulation in industrial manufacturing environments. Candidates must have a Master's degree, 5+ years of robotic manipulation experience, and 3+ years programming in C++ and Python.
The Robotics Software Engineer role focuses on developing production-quality algorithms for robotic grasping in industrial manufacturing environments. Candidates must have a Master's degree, 2+ years of robotics experience, and strong C++ and Python programming skills.
The Robotics Software Engineer role focuses on developing production-quality algorithms for robotic grasping in industrial manufacturing environments. Candidates must have a Master's degree, 2+ years of robotics experience, and strong C++ and Python programming skills.
The role involves designing, building, and deploying robotic automation systems, including programming workcells and selecting hardware. Candidates need a degree in engineering and three years of experience with robotics, PLC programming, and automation cell design.
The role involves designing and implementing a distributed cloud and on-premises system for industrial robotics automation. Candidates must have a bachelor's degree and at least five years of experience coding in Go, C++, or Python.
The role involves partnering with customers in the APAC region to deliver complex robotic automation systems and lead high-impact initiatives. Candidates must have a technical degree, experience with C++ or Python, and proficiency in industrial automation systems.
The role involves leading end-to-end user research for industrial robotics developer tools and interfaces. Candidates must have a Master's or PhD in HCI or related fields, plus 4+ years of user research experience in complex software or hardware.
The role involves designing and maintaining scalable data infrastructure for robotics systems, including data collection, processing, and machine learning pipelines. Candidates require at least four years of experience in medium to large software projects and proficiency in C++, Go, or Python for production systems.
The role involves developing and deploying deep learning models for 3D computer vision tasks such as object detection and pose estimation for industrial robots. Candidates need a degree in a technical field and 1-2 years of experience in AI or computer vision with proficiency in Python or C++.
This is a general software engineering role for Intrinsic, an AI robotics group at Google, focused on industrial robotics. Candidates should be proficient in modern software development and interested in full-stack software, AI, and robotics.
This role involves taking technical ownership of developing and deploying robotics grasping and manipulation algorithms for industrial applications. Candidates must have a Master's degree, 8+ years of robotic manipulation experience, and 6 years of programming in C++ and Python.
The role involves taking technical ownership of developing and deploying robotics grasping and manipulation algorithms for industrial settings. Candidates must have a Master's degree, 8+ years of robotics experience, and 6+ years programming in C++ and Python.
This role manages the delivery of automation technology and robotic solutions to customers and partners. It requires experience in technical program management, stakeholder alignment, and managing external projects.
The Controller role involves owning the close process, setting technical accounting positions, and architecting controls for a unicorn-stage AI company. Candidates must have 12+ years of progressive accounting experience, deep technical judgment in ASC 606 and ASC 718, and experience implementing ERP systems.
This Developer Relations role requires a hands-on technical voice to build reference apps and content for edge AI and small models. Candidates must have production LLM experience, fluency with PyTorch and Hugging Face, and a public portfolio of technical communication.
The Research Engineer role involves designing and implementing novel AI architectures, training methods, and inference strategies within Liquid Labs. Candidates must have experience in machine learning research or production systems and a track record of publications in tier-1 venues.
This role involves building Liquid AI's outbound motion and automation layer to generate qualified pipeline and scale pipeline generation. Candidates must have 4-6 years of B2B GTM experience, including early-stage company work and direct accountability for revenue.
The role involves owning technical searches end-to-end for product, applied ML, and infrastructure roles at Liquid AI. Candidates must have full-cycle recruiting experience, strong sourcing skills, and the ability to learn technical domains quickly.
This role involves owning applied ML projects for Japanese customers, from technical discovery to production deployment. The engineer must optimize model inference for latency and memory while building robust software and evaluation systems.
This role involves owning end-to-end applied ML work for enterprise recommendation system engagements, including model adaptation, evaluation, and deployment. Candidates must have hands-on experience building sequential recommendation models at scale and proficiency in Python and PyTorch.
The role involves designing and building distributed training infrastructure for GPU clusters to optimize large-scale model training. Candidates must have hands-on experience with PyTorch Distributed, DeepSpeed, or Megatron-LM and expertise in diagnosing performance bottlenecks.
The role involves designing and shipping custom CUDA kernels to optimize GPU performance for AI training and inference pipelines. Candidates must have strong C/C++ skills, proficiency with low-level profiling tools like Nsight, and a deep understanding of GPU architecture and memory hierarchies.
The role involves designing and building benchmark suites for inference performance and model quality across various hardware targets. Candidates must have hands-on experience with inference frameworks like llama.cpp, ONNX, or MLX, along with strong C++ and Python skills for performance-sensitive contexts.
The role involves joining the Pre-Training Data team to source, filter, and synthesize datasets for Liquid Foundation Models. Candidates must have deep hands-on experience in pre-training data work, production pipeline development, and running experiments to measure data impact on model quality.
The role involves improving Liquid Foundation Models for Japan through post-training strategies, data curation, and rigorous experimentation. Candidates must have hands-on experience with modern language or multimodal models, strong engineering skills, and the ability to collaborate with global teams.
This role involves building production-grade audio models for STT, TTS, and speech-to-speech on-device systems. Candidates must own data pipelines, evaluation systems, and customer deployments while writing clean, maintainable code.
This role involves owning end-to-end applied post-training projects for text workloads, including data generation, fine-tuning, and evaluation. Candidates must have hands-on experience with LLM post-training methods such as SFT, RLHF, and DPO, along with proficiency in the open-source ML ecosystem.
This role involves owning end-to-end applied post-training projects for LFM2.5-Audio, focusing on function calling and customer deployment. Candidates must have hands-on experience with post-training techniques like SFT and RL, along with strong skills in data generation and evaluation pipelines.
This role involves owning end-to-end post-training projects for vision-language models for enterprise customers. Candidates must have hands-on experience with VLM fine-tuning, data generation, and multimodal evaluation.
The role involves managing Boston office operations, vendors, and budgets while serving as Executive Assistant to the Co-Founder and Chief Science Officer. Candidates must demonstrate experience in facilities operations, event planning, and executive support with strong organizational skills.
The role involves driving product experiments from idea to product-market fit by working closely with ML and engineering teams. Candidates must have hands-on ML or applied LLM experience and the ability to prototype using AI and coding tools.
The role is a full-time strategic business development lead responsible for driving enterprise partnerships and revenue for Liquid AI's foundation models. Candidates must have 10+ years of experience in strategic business development or partnerships at technology companies, with high technical fluency and a track record of closing complex deals.
The role is a strategic business development lead responsible for building life sciences partnerships and revenue with pharmaceutical and biotech organizations. Candidates must have 10+ years of experience in business development within life sciences technology and possess high technical fluency to drive scientific conversations.
This role involves cutting and publishing social video for Dream Lab and Luma across TikTok, Instagram, LinkedIn, and YouTube. The editor must build motion graphics from scratch, apply frame-accurate tracking, and manage the full production lifecycle from raw footage to final delivery.
This role involves acting as a creative lead for major brands and agencies to shape generative video production workflows. Candidates must have senior client-facing creative experience and an outstanding portfolio of high-craft work.
This role is a senior creative lead based in London who partners with major French brands and agencies to shape generative video workflows. The position requires fluent French, a high-craft portfolio, and deep expertise in creative production pipelines and generative AI.
This role involves acting as a creative lead for major brands and agencies to integrate generative video into production workflows. Candidates must have senior client-facing creative experience, a strong portfolio, and expertise in creative production pipelines.
The GTM Delivery Lead manages forward-deployed creative team operations in North America, partnering with sales to deliver paid trials and enterprise engagements. The role requires experience managing cross-functional teams and building scalable processes for high-volume pre-sales and support functions.
The role involves inventing next-generation world-model architectures and controllability mechanisms for Luma's generative video models. Candidates must have a PhD or equivalent research record and deep expertise in generative modeling or model-based RL.
The role involves profiling and optimizing GPU, CPU, and accelerator code for Luma's multimodal models to improve training efficiency and deployment scale. Candidates must have expert-level skills in Triton, CUDA, and PyTorch, along with a deep understanding of transformer internals and hardware features.
The role involves profiling and optimizing GPU, CPU, and accelerator code for Luma's multimodal models to improve training efficiency and deployment scale. Candidates must have expert-level skills in Triton, CUDA, and PyTorch, along with a deep understanding of transformer internals and hardware features.
The role involves profiling and optimizing GPU, CPU, and accelerator code for Luma's multimodal models to improve training efficiency and deployment scale. Candidates must have expert-level skills in Triton, CUDA, and PyTorch, along with a deep understanding of transformer internals and hardware features.
The role involves designing and scaling distributed reinforcement learning systems for post-training LLMs across thousands of GPUs. Candidates must have hands-on experience with RL post-training, distributed PyTorch, and building RL environments or reward infrastructure.
The role involves designing and scaling distributed reinforcement learning systems for post-training LLMs across thousands of GPUs. Candidates must have hands-on experience with RL post-training, distributed PyTorch, and building RL environments or reward infrastructure.
The role involves designing and scaling distributed reinforcement learning systems for post-training LLMs across thousands of GPUs. Candidates must have hands-on experience with RL post-training, distributed PyTorch, and building RL environments or reward infrastructure.
The role involves building distributed systems to train large-scale multimodal models across thousands of GPUs. Candidates must have extensive experience with PyTorch, CUDA, and advanced parallelization techniques like FSDP and multi-node training.
The role involves building distributed systems to train large-scale multimodal models across thousands of GPUs. Candidates must have extensive experience with PyTorch, CUDA, and advanced parallelization techniques like FSDP and multi-node training.
The role involves building distributed systems to train large-scale multimodal models across thousands of GPUs. Candidates must have extensive experience with PyTorch, CUDA, and advanced parallelization techniques like FSDP and multi-node training.
The role involves building and training large-scale multimodal agentic models that reason, plan, code, and call tools. Candidates must have a strong foundation in machine learning, agentic systems, and hands-on PyTorch experience for large-scale training.
The role involves leading outbound sales in the UK for Luma, focusing on brands, agencies, and media. Candidates must have 5+ years of full-cycle sales experience in a high-growth technology environment and be comfortable building new business from scratch.
The Sales Executive role leads outbound sales in Germany for Luma, focusing on brands, agencies, and media. Candidates must have 5+ years of full-cycle sales experience in a high-growth technology environment and be comfortable building new business from scratch.
The role involves leading outbound sales for Luma in the UK, targeting brands, agencies, and media to build a foundational pipeline. Candidates must have 5+ years of full-cycle sales experience in a high-growth technology environment and be comfortable creating new business from scratch.
The role involves leading outbound sales across France for Luma, focusing on brands, agencies, and media. Candidates must have 5+ years of full-cycle sales experience in a high-growth technology environment and be fluent in French.
The role involves owning a portfolio of high-value enterprise accounts to drive platform usage and expansion across EMEA. Candidates must have 5-10+ years of experience in strategic account management or commercial customer success within SaaS or enterprise tech.
The role involves owning a portfolio of high-value enterprise accounts to drive platform usage and expansion across EMEA. Candidates must have 5-10+ years of experience in strategic account management or commercial customer success within SaaS or enterprise tech.
The role involves designing simulation environments and evaluation harnesses to train general-purpose robot policies using generative models and physics engines. Candidates must have strong backgrounds in robotics simulation or computer graphics and fluency in Python and C++.
The role involves building and scaling high-throughput data infrastructure for multimodal AI systems and machine learning research. Candidates must have strong foundations in distributed systems, data engineering, and proficiency in Python.
The role involves owning Luma's model serving infrastructure by integrating new architectures into the inference engine and scaling deployments across thousands of machines. Candidates must have strong systems engineering skills, experience with model serving, and proficiency in Kubernetes at scale.
This role involves owning Luma's model serving infrastructure by integrating new architectures into the inference engine and scaling deployments across thousands of machines. The position requires strong systems engineering skills, specifically in Kubernetes, fleet management, and maintaining GPU utilization while meeting internal SLOs.
The role involves owning Luma's model serving infrastructure by integrating new architectures into the inference engine and scaling deployments across thousands of machines. Candidates must have strong systems engineering skills, experience with model serving, and proficiency in Kubernetes at scale.
This is a general application for Luma to submit work samples and a note on desired problems. The company reviews applications across research, engineering, design, product, and go-to-market roles.
The role involves driving end-to-end enterprise sales for Mistral's AI solutions in the Nordics, managing deals from prospecting to closing. Candidates must have proven enterprise sales experience, a strong technical aptitude for complex AI products, and excellent negotiation skills.
The Account Executive Enterprise role involves driving end-to-end sales for Mistral's largest enterprise customers across various industries. Candidates must have 7-10 years of enterprise sales experience, a strong technical aptitude for AI products, and excellent negotiation skills.
The Account Executive Enterprise role focuses on driving end-to-end sales for Mistral's largest manufacturing customers, including strategic outreach and deal closing. Candidates must have 7-10 years of enterprise sales experience in manufacturing and strong technical aptitude to navigate complex AI products.
The Account Executive Enterprise, Public Sector role involves driving end-to-end sales for Mistral's largest public sector customers in Paris. Candidates must have 7-10 years of enterprise sales experience, a degree in business or computer science, and strong technical aptitude to manage complex AI product negotiations.
The Account Executive for the Nordics Public Sector is based in Sweden and owns the full deal cycle for government, healthcare, and education institutions across the region. The role requires 7-10 years of enterprise sales experience, a public-sector track record, and strong technical aptitude to navigate complex procurement and AI deployments.
The role involves managing the full sales cycle for enterprise customers in the US, focusing on strategic outreach and closing deals for Mistral AI. Candidates must have 7-10 years of enterprise sales experience with complex technical products and strong negotiation skills.
This role involves managing the full sales cycle for Mistral's enterprise AI solutions in the Canadian market, with a focus on financial institutions. Candidates must have 7-10 years of enterprise sales experience, fluency in French and English, and a strong understanding of the Quebec business environment.
This role involves driving Mistral's AI adoption among large enterprise customers in Toronto, with a focus on financial institutions. The position requires managing the full sales cycle, including strategic outreach, proof of concept support, and executive engagement.
The role involves driving end-to-end enterprise sales for Mistral's AI solutions in the DACH region, focusing on strategic outbound and inbound deal management. Candidates must have 7-10 years of enterprise sales experience, a degree in business or computer science, and strong technical aptitude to navigate complex AI products.
The role involves driving end-to-end enterprise sales for Mistral's AI solutions, managing deals from prospecting to closing. Candidates must have 7-10 years of enterprise sales experience, a degree in business or computer science, and fluency in French and English.
The role involves driving end-to-end enterprise sales for Mistral's public sector customers in the UK, managing deals from outreach to closing. Candidates must have proven enterprise sales experience, a degree in business or computer science, and significant experience within the UK public sector or AI ecosystem.
The role involves driving end-to-end enterprise sales for Mistral's AI solutions, managing deals from initial outreach to closing. Candidates must have 7-10 years of enterprise sales experience, a degree in business or computer science, and strong technical aptitude to navigate complex product discussions.
The Accounting (R2R) Manager in Paris leads the Record-to-Report function and owns the end-to-end close process for all entities. The role requires a CPA or equivalent with at least 8 years of accounting experience, including 2+ years at a Big 4 firm, and solid IFRS knowledge.
The AI Deployment Strategist role involves driving the adoption and scaling of AI solutions by partnering with sales and product teams. Candidates must have a relevant scientific degree, customer-facing experience, and proficiency in Python or JavaScript for prototyping.
The AI Deployment Strategist drives the adoption and deployment of Mistral's AI solutions by partnering with customers from strategic vision to production implementation. The role requires 2+ years in a client-facing strategic and technical role, a degree in a relevant scientific field, and hands-on experience building and deploying AI applications.
The AI Deployment Strategist drives the adoption and deployment of Mistral's AI solutions by partnering with customers from strategic vision to production implementation. The role requires 2+ years in a client-facing strategic and technical role, a degree in a relevant scientific field, and hands-on experience building and deploying AI applications.
The AI Deployment Strategist role involves driving the adoption and deployment of Mistral's AI solutions by partnering with customers from strategic vision to production implementation. Candidates must have at least two years of client-facing strategic and technical experience, a relevant scientific degree, and hands-on experience building and deploying AI applications using Python.
The AI Deployment Strategist drives the adoption and deployment of Mistral's AI solutions by partnering with customers from strategic vision to production implementation. The role requires 2+ years in a client-facing strategic and technical role, a degree in a relevant scientific field, and hands-on experience building and deploying AI applications using Python.
The AI Deployment Strategist role involves driving the adoption and deployment of Mistral's AI solutions by partnering with customers from strategic vision to production implementation. Candidates must have at least two years of client-facing strategic and technical experience, a relevant scientific degree, and hands-on experience building and deploying AI applications using Python.
The AI Deployment Strategist drives the adoption and deployment of Mistral's AI solutions by partnering with customers from strategic vision to production implementation. The role requires 2+ years in a client-facing strategic and technical role, a degree in a relevant scientific field, and hands-on experience building and deploying AI applications.
The AI Deployment Strategist role involves driving the adoption and deployment of Mistral's AI solutions by partnering with customers from strategic vision to production implementation. Candidates must have at least two years of client-facing strategic and technical experience, a relevant scientific degree, and hands-on experience building and deploying AI applications using Python.
The AI Deployment Strategist drives the adoption and deployment of Mistral's AI solutions by partnering with customers from strategic vision to production implementation. The role requires 2+ years in a client-facing strategic and technical role, a degree in a relevant scientific field, and hands-on experience building and deploying AI applications using Python.
The AI Deployment Strategist drives the adoption and deployment of Mistral's AI solutions by partnering with customers from strategic vision to production implementation. The role requires 4+ years in a client-facing strategic and technical role, a degree in a relevant scientific field, and hands-on experience building and deploying AI applications.
The AI Deployment Strategist role involves bridging vision and execution by advising C-suite executives and leading AI solution deployments from concept to adoption. Candidates must have 8+ years of experience in technical consulting or enterprise technology, with deep expertise in AI/ML and enterprise data architecture.
The role involves driving the adoption and deployment of Mistral's AI solutions for cybersecurity in the EMEA region. Candidates must have 6+ years of client-facing experience in cybersecurity or defense, along with strong domain expertise in security operations and AI/ML.
The role involves driving the adoption and deployment of Mistral's AI solutions for defense and sovereign institutions, working from strategic vision to production implementation. Candidates must have at least two years of client-facing strategic and technical experience, a relevant scientific degree, and hands-on experience building and deploying AI applications.
The role involves driving the adoption and deployment of Mistral's AI solutions for defense and sovereign institutions in the UK. Candidates must have 2+ years in a client-facing strategic and technical role, a relevant degree, and hands-on experience building AI applications.
The role involves owning end-to-end delivery of AI solutions for physics and engineering challenges across APAC enterprise accounts. Candidates must have an advanced degree in physics or engineering and five or more years of technical project management experience.
The role involves driving the adoption and deployment of Mistral's AI solutions for industrial enterprises in the EMEA region. Candidates must have at least two years of client-facing strategic experience and a deep understanding of computational mechanics or numerical methods.
The role involves driving the adoption and deployment of Mistral's AI solutions for science-heavy projects in domains like computer vision and robotics. Candidates must have at least two years of client-facing technical experience and a degree in a scientific field.
The role involves conducting pre-sales calls, guiding customers in deploying and integrating Mistral's text completion API, and providing post-deployment support. Candidates must hold a degree in a relevant scientific field, be proficient in English and Korean, and have experience implementing AI or machine learning products.
The AI Scientist role involves developing and scaling cutting-edge models for reasoning, code, and multimodal applications. Candidates must be proficient in software engineering and have experience with AI frameworks or distributed systems.
The AI Scientist role involves researching and developing novel methods to advance large language models and building infrastructure for large-scale training and evaluation. Candidates must have a strong publication record, high software engineering proficiency, and experience with AI frameworks like PyTorch or JAX.
The AI Scientist role involves developing and scaling cutting-edge models for reasoning, code, and multimodal applications. Candidates must be proficient in software engineering and have experience with AI frameworks or distributed systems.
The AI Scientist role involves developing and scaling cutting-edge models to advance frontier intelligence. Candidates must have a track record in scientific domains and hands-on experience with AI frameworks like PyTorch or JAX.
The role involves designing pretraining, SFT, and RL data for engineering tasks across CAD, CAE, and semiconductor/EDA. Candidates must have deep machine learning expertise and hands-on experience running real engineering workflows in at least one of these domains.
The role involves building AI-accelerated simulation capabilities for industrial engineering by applying deep solid-mechanics expertise to crashworthiness foundation models. Candidates must have substantial industrial simulation experience, a Master's degree or equivalent, and strong Python development skills for automation and model evaluation.
The role involves researching and training novel foundation models for physics simulation to push the frontier of AI-accelerated engineering. Candidates must have a PhD or Master's in CS/AI or an engineering science, along with strong machine learning expertise and Python coding skills.
The role involves building and operating Mistral AI's corporate compliance framework, focusing on anti-corruption, economic sanctions, and export controls. Candidates require a legal master's degree, at least five years of relevant experience, and substantive exposure to at least two of the specified compliance areas.
The role involves designing, implementing, and deploying secure AI solutions for defense and critical infrastructure clients. Candidates must have a PhD or Master's in AI/ML, 2+ years of experience, and expertise in LLM fine-tuning, RAG, and Python.
The Applied AI Engineer role involves designing and delivering production-grade AI systems for internal Mistral departments. Candidates must have at least three years of experience building AI software and strong full-stack skills in Python and React.
The role involves onboarding customers on Mistral's AI products and managing end-to-end deployment from GPU stacks to front-end interfaces. Candidates must have 2+ years of DevOps experience, a degree in Computer Science or related fields, and proficiency in Python, Docker, and Kubernetes.
The Applied AI Engineer role involves leading the design and delivery of production-grade AI systems in rapid development cycles. Candidates must have at least two years of experience building AI products and strong Python skills with scalable backend frameworks.
The Applied AI Engineer role focuses on deploying state-of-the-art AI models onto real robots in physical environments. Candidates must integrate AI with robotic hardware, improve system robustness, and debug autonomy stacks using Python or C++.
The role involves building and operating a framework for reliable Mistral solution delivery across enterprise accounts. Candidates must have 5+ years in SRE or DevOps, strong Kubernetes fluency, and experience with observability and infrastructure as code.
The role involves designing and building production software for defense institutions, focusing on data ingestion, transformation, and storage. Candidates must have strong engineering fundamentals, experience with data or distributed systems, and proficiency in Python or TypeScript.
The role involves building and deploying cybersecurity-related agentic workflows and customer use cases on the Mistral stack. Candidates must have 2+ years of technical experience in AI products, strong Python skills, and proficiency in RAG, agentic use cases, or LLM fine-tuning.
The role involves building and deploying cybersecurity-related agentic workflows and customer use cases on the Mistral stack. Candidates must have 2+ years of technical experience in AI products, strong Python skills, and proficiency in RAG, agentic use cases, or LLM fine-tuning.
The role involves facilitating the adoption of Mistral AI products by managing customer relations from pre-sale to post-implementation. Candidates must have a PhD or master's in AI/data science, 2+ years of technical experience, and strong skills in Python, PyTorch, and LLM fine-tuning.
This internship involves working with the Applied AI Engineering team to deploy GenAI applications and address customer technical challenges. Candidates must have strong Python skills, familiarity with machine learning and NLP, and a basic understanding of MLOps.
The role involves deploying state-of-the-art GenAI applications and LLMs into production for enterprise clients. Candidates must have 2+ years of technical experience in AI product implementation, Python coding, and LLM fine-tuning.
The role involves deploying state-of-the-art GenAI applications and LLMs into production for enterprise clients. Candidates must have 2+ years of technical experience in AI product implementation, Python coding, and LLM fine-tuning.
The role involves facilitating the adoption of Mistral AI products by managing customer relations from pre-sale to post-implementation. Candidates must have a PhD or master's in AI/data science, 2+ years of technical experience, and strong Python and PyTorch skills.
The role involves deploying state-of-the-art GenAI applications and LLMs into production for enterprise clients. Candidates must have 2+ years of technical experience in AI product implementation, Python coding, and LLM fine-tuning.
The role involves leading technical strategy and execution for complex AI solutions while delivering critical code as an individual contributor. Candidates must have a PhD or Master's degree and at least seven years of AI/ML experience, including two years in technical leadership.
The role involves leading a team of Applied AI Engineers to deliver complex AI solutions for enterprise customers. Candidates must have 7+ years of AI/ML experience, 2+ years in technical leadership, and a Master's or PhD degree.
The role involves leading a team of Applied AI Engineers to deliver complex AI solutions for enterprise customers. Candidates must have a PhD or Master's degree, 7+ years of AI experience, and 2+ years in technical leadership.
The role involves leading a team of Applied AI Engineers to deliver complex AI solutions for enterprise customers. Candidates must have 7+ years of AI/ML experience, 2+ years in technical leadership, and a Master's or PhD degree.
The role involves developing frontier cybersecurity models, training pipelines, and evaluation benchmarks for defensive security. Candidates must have hands-on security experience and strong Python skills to build agentic models and manage technical delivery.
The role involves designing, training, and deploying state-of-the-art robotics models for navigation and manipulation. Candidates must have expert proficiency in PyTorch or JAX and experience with Vision Language Models and simulation tools.
The role involves designing, training, and deploying state-of-the-art robotics models for navigation and manipulation. Candidates must have expert proficiency in PyTorch or JAX and experience with Vision Language Models and simulation tools.
The role involves designing, training, and deploying state-of-the-art time-series foundation models for industrial forecasting. Candidates must have expert PyTorch or JAX skills and experience pre-training or fine-tuning large transformer models at scale.
The role involves developing state-of-the-art models across text, image, and speech modalities while collaborating with clients on complex research projects. Candidates must be experts in PyTorch or JAX, write high-performance Python code, and manage research projects independently.
The role involves developing state-of-the-art models across text, image, and speech modalities while collaborating with clients on complex research projects. Candidates must be fluent in English, expert in PyTorch or JAX, and capable of writing clean, high-performance Python code.
The role involves designing, training, and deploying state-of-the-art large language models for formal methods applications. Candidates must be experts in PyTorch or JAX and capable of writing high-performance Python code.
The role involves developing state-of-the-art models across text, image, and speech modalities while managing research projects with clients. Candidates must be expert in PyTorch or JAX, write high-performance Python, and run pre-training and deployment on large GPU clusters.
The role involves developing state-of-the-art models across text, image, and speech modalities while managing research projects with clients. Candidates must be fluent in English and Korean, expert in PyTorch or JAX, and capable of writing high-performance Python code.
The Benefits Manager role involves owning and scaling benefits infrastructure across multiple countries while partnering with HR, Finance, and Legal. The position requires experience managing multi-country benefits during hypergrowth and deep knowledge of regulations in at least one core region.
The Chief of Staff to the VP of Revenue Europe South supports the Southern Europe Enterprise Sales organization during a rapid scaling phase. The role requires driving strategic planning, operational excellence, and cross-functional initiatives, with a minimum of five years of experience in strategic operations or consulting.
The role involves reviewing and auditing code annotations against rubrics while building and maintaining internal tools for annotators. Candidates need a degree in computer science or 2-5 years of experience in software engineering, along with proficiency in at least one programming language.
The role involves drafting and negotiating commercial contracts and agreements to support deal making and revenue generation. Candidates must have 3-5 years of legal experience, a Master's degree in law, and strong knowledge of AI regulations and contract law.
The Compute Solution Architect serves as a technical advisor for AI Infrastructure customers, managing large-scale GPU workloads and strategic GPUaaS contracts. The role requires 5-10+ years of experience in cloud solutions architecture and hands-on knowledge of AI/ML workloads and cluster orchestration.
The Consolidation Manager will build and run Mistral's recurring IFRS consolidation function for approximately 30 entities across 15 countries. The role requires solid IFRS consolidation experience, including business combinations, goodwill, intercompany eliminations, and multi-currency translation.
The Corporate Paralegal role in Paris centralizes administrative legal operations, including cap table management, entity housekeeping, and contract administration. Candidates require 10+ years of legal experience, proficiency in French and English, and strong Excel skills.
The role serves as Mistral AI's senior technical authority for critical electrical, mechanical, and life-safety infrastructure across assigned colocation sites. It requires 5-7+ years of experience in critical facilities engineering, commissioning, or data center operations, with strong knowledge of electrical and mechanical systems.
The Customer Success Manager role manages a portfolio of enterprise customers to drive adoption and satisfaction with Mistral's AI solutions. Candidates need 5+ years of customer-facing experience, strong communication skills, and the ability to engage with technical teams.
The Customer Success Manager role manages a portfolio of enterprise customers to drive adoption and satisfaction with Mistral's AI solutions. Candidates require 5+ years of customer-facing experience, strong communication skills, and the ability to engage with technical teams.
The Customer Success Manager role manages a portfolio of enterprise customers to drive adoption and satisfaction with Mistral's AI solutions. Candidates require 5+ years of customer-facing experience, strong communication skills, and the ability to engage with technical teams.
The Customer Success Manager role manages a portfolio of enterprise customers to drive adoption and satisfaction with Mistral's AI solutions. Candidates need 5+ years of customer-facing experience, strong communication skills, and the ability to engage with technical teams.
The role involves architecting and maintaining the security posture of AI infrastructure and application lifecycles. Candidates must have five or more years of experience in Platform Security, Security Engineering, or Cloud Security, with strong skills in container orchestration and Infrastructure-as-Code.
The role involves serving as a dedicated Product Security partner for one or more product organizations within Mistral's Cybersecurity department. Candidates must have 5+ years of experience in Product Security or Software Engineering and strong skills in threat modeling, secure architecture, and security automation.
The Data Annotation Quality Specialist ensures high standards in human data annotations to support AI model development and evaluation. The role requires strong research and analytical skills, proficiency in English, and the ability to audit annotations and collaborate with technical teams.
The role involves diagnosing and repairing server and cluster hardware in a data center in the South of Paris. Candidates must have hands-on experience with server hardware, basic Linux, and practical electrical safety knowledge.
The role involves diagnosing and repairing server and cluster hardware, including GPUs, CPUs, and interconnects, within a data center environment. Candidates must be physically able to work in racks and comfortable with a 24/7 operation, including rotating on-call duties.
The role involves diagnosing and repairing server and cluster hardware, including GPUs, CPUs, and interconnects, within a data center environment. Candidates must be physically able to work in racks and comfortable with a 24/7 operation including rotating on-call duties.
The Data Center Operations Manager oversees the build, run, and operational excellence of Mistral's data centers in the Paris Region. The role requires a degree in a related field, proven data center operations experience, and fluency in English and French.
The Data Centre Safety Manager builds a health and safety program for Mistral's expanding data center operations, protecting employees and contractors. The role requires at least five years of practical health and safety experience in operational or industrial environments, along with strong communication skills and the ability to work on site.
The Data Scientist role in Paris involves analyzing user behavior, optimizing product performance, and designing data-driven features for Mistral's AI suite. Candidates must have strong backgrounds in data analysis, statistical modeling, and machine learning, with proficiency in Python and SQL.
The Deputy Director, Safety & Security HQ role is responsible for ensuring the physical safety, regulatory compliance, and operational resilience of Mistral's headquarters in Paris. The position requires proven experience in designing physical security programs, managing security vendors, and leading crisis response frameworks for high-stakes facilities.
This role leads technical design and reliability engineering for Mistral's AI datacenter infrastructure in colocation facilities. Candidates must have at least 8 years of experience in mission-critical data center design or reliability, with deep expertise in electrical or mechanical engineering.
The Developer Relations Engineer role involves creating documentation, tutorials, and sample code to support Mistral AI products. Candidates must have a Master's degree in a related field, fluency in Python, and experience with AI orchestration tools and PyTorch.
The Director of OEMs role leads Mistral AI's partnerships with hardware OEMs to drive joint go-to-market initiatives and expand business opportunities. Candidates must have 15+ years of experience in hardware OEM solution sales and proven track record managing complex partner relationships.
The Engineering Manager role leads a ten-member Product Engineering team to build scalable AI systems and products. Candidates must balance technical contributions with team leadership, partnering with Product Managers to align engineering work with business objectives.
This role leads a team to automate datacenter fleet delivery, focusing on reducing time-to-acceptance for hardware clusters. Candidates must have 8+ years in backend infrastructure, 2+ years leading engineers, and production experience with Go and Linux.
The role involves leading a new team to evolve Mistral's Inference APIs and ship enterprise-level features. Candidates must have experience managing engineering teams and proficiency in Python, C#, Golang, or TypeScript.
The role involves building and leading a new engineering team to manage complex partnership work and scale it into repeatable product features. Candidates must have experience managing engineering teams and proficiency in Python, C#, Golang, and TypeScript.
This role leads the team building secure, isolated sandbox environments for AI agents and reinforcement learning workloads. Candidates must have 3+ years of people leadership, 8+ years in backend infrastructure, and deep expertise in Linux internals and Go.
This role is a people-leadership position managing the team building Mistral's serverless containers product. Candidates must have 3+ years of people leadership experience and have shipped production systems in Go.
This role is a founding Engineering Manager for storage on Mistral's Sovereign AI cloud, responsible for building the team and the storage stack from scratch. Candidates must have 8+ years of infrastructure experience, 2+ years of people leadership, and expertise in distributed systems and Go.
The role involves building and developing the core backend platform for Mistral's AI products while leading an engineering team. Candidates must combine hands-on coding with strategic leadership, project planning, and stakeholder collaboration to improve developer experience and system reliability.
This role leads a team of about five people to improve developer experience, code quality, and workflow efficiency across Mistral's AI platform. Candidates must have 5+ years of experience in DevEx or DevOps, a Master's degree, and proficiency in Python, JavaScript/TypeScript, or Go.
The Evaluation Engineer role involves designing and building frontier LLM benchmarks for industry use cases and agent-based tasks. Candidates must have 2+ years of industry experience or a PhD, strong Python skills, and a background in software engineering or research.
The Field CTO role serves as a senior external technical voice for Mistral in the DACH region, engaging enterprise executives and shaping AI strategy. Candidates must have 10-25 years of enterprise technology experience, a public track record in AI, and fluency in European data sovereignty and on-premise deployment.
The Field CTO role serves as a senior external technical voice for Mistral, engaging enterprise boards and C-level stakeholders to shape AI strategy. Candidates must have 10-25 years of enterprise technology experience, a public track record in AI, and fluency in European data sovereignty and on-premise deployment.
The Field CTO serves as a senior external technical voice, engaging enterprise executives and shaping AI strategy for strategic accounts. The role requires 10-25 years of enterprise technology experience, a public track record in AI, and fluency in European data sovereignty and on-premise deployment.
The role involves reviewing and auditing finance annotations against rubrics while building and maintaining annotation tools. Candidates require a Masters degree in Finance, at least three years of professional experience, and strong analytical skills.
This role is a founding Team Lead for Applied AI Engineering Deployment in South Korea, focusing on DevOps and customer integration. Candidates must have 8+ years of engineering experience, a strong DevOps background, and fluency in English and Korean.
The General/Senior Accountant role supports accounting operations for multiple entities in France and abroad, focusing on compliance and process automation. Candidates require a degree in accounting or finance, at least five years of experience, and strong knowledge of IFRS or French standards.
The Group Financial Controller role involves ensuring the accuracy and compliance of accounting records and financial statements for Mistral AI. The position requires at least 10 years of experience, including Big 4 audit background, and proficiency in IFRS, French GAAP, and SAP S4.
The Head of Analyst Relations will build and lead Mistral's global program to shape industry analyst perceptions of its AI products and vision. The role requires 10+ years of experience in Analyst Relations or related marketing functions and the ability to manage relationships with leading firms like Gartner and IDC.
The role leads the development of learning programs for Mistral's scaling FDE organization, which will grow to several hundred employees. The owner must build technical and strategic bootcamps, onboarding paths, and readiness standards to ensure consistent capability across regions.
The Head of HR Business Partner leads the HR People Partner function and shapes people strategy to support Mistral AI's growth. The role requires significant experience leading HR teams in high-growth environments and strong knowledge of French employment law.
The Head of Solution Operations will lead a fast-growing function responsible for staffing, capacity planning, and global delivery processes across EMEA, the US, and Asia-Pacific. The role requires extensive leadership experience, data-driven AI fluency, and the ability to industrialize processes to scale operations from hundreds to thousands of people.
The Head of Financial Systems Engineering leads the assessment and design of Mistral's finance technology architecture, data governance, and transition roadmap. The role requires strong project management, deep data architecture knowledge, and experience with finance tools like SAP S4H and Kyriba.
This role serves as the UK people operations expert and drives EMEA expansion by building HR operations from scratch. Candidates must have 7-10 years of HR experience and deep expertise in UK employment law, payroll, and visa sponsorship.
The People Operations Manager in Paris builds and scales HR operations for Mistral's France team, ensuring compliance and seamless employee experiences. The role requires 5 to 10 years of HR experience, deep knowledge of French labor laws, and proficiency with HRIS and payroll tools.
The role is a founding HR Operations Manager for APAC responsible for establishing HR infrastructure, managing multi-country payroll, and overseeing employee onboarding. Candidates require 8 to 15 years of progressive HR experience, expertise in Singaporean labor law, and Singapore citizenship or Permanent Residency.
The People Operations Manager will build and manage HR operational infrastructure for North America, including payroll, benefits, and global mobility. The role requires 5-10 years of progressive HR experience, strong knowledge of US employment laws, and proficiency with modern HRIS systems.
The HR Business Partner supports managers and employees across the employee lifecycle while helping build scalable people practices. The role requires 5-8 years of HR experience, a degree in HR or Business, and strong knowledge of French employment law.
The role is an individual contributor position focused on driving the adoption and scaling of GenAI solutions for enterprise clients. Candidates must have experience as a DevOps, Site Reliability Engineer, or Cloud Solution Architect, with proficiency in Python and cloud platforms.
The role involves driving the adoption and scaling of AI solutions by guiding clients in integrating GenAI technologies. Candidates must have experience in DevOps, cloud architecture, and deploying AI products in production environments.
The Internal Event Manager leads internal event strategy and execution at Mistral's Paris headquarters. The role requires at least six years of experience, with three years in event management, and strong organizational and communication skills.
The International Mobility Lead owns and develops the company's international mobility approach, supporting cross-border moves and assignments. The role requires strong experience in global mobility, knowledge of immigration and tax topics, and the ability to manage multiple cases and stakeholders.
This internship supports Mistral AI's Strategic Licensing Partnerships team in driving data sourcing and stakeholder engagement across financial services and venture capital. Candidates must have a hybrid legal/business profile, strong AI curiosity, and hands-on tech fluency for configuring AI agents.
The IP Rights Manager role involves managing data licensing operations, compliance tracking, and AI-powered workflows for Mistral's IP & Licensing team. Candidates need a bachelor's degree and 2-5 years of experience in copyright, licensing, or legal operations, with knowledge of EU and US copyright law.
The IT Specialist provides technical support for hardware, software, and collaboration tools while managing equipment, user accounts, and inventory. The role requires a degree in Computer Science, experience with Google Workspace, and troubleshooting skills for macOS and Windows environments.
The role involves leading technical teams and delivering critical code for complex AI projects in Seoul. Candidates must have 5+ years of experience with Python, TypeScript, and front-end/back-end frameworks.
The role is a Head of Applied AI Engineering in Seoul, requiring a PhD or master's in AI/data science and 10+ years of technical experience. Candidates must lead technical teams, deliver critical code, and design complex AI systems including fine-tuning, RAG, and agentic workflows.
The role leads the Applied Science team in Seoul, driving frontier research and SOTA model development across text, image, and speech. Candidates must lead technical teams, engage C-suite stakeholders, and execute high-stakes projects using PyTorch or JAX.
The Lead Deployment Strategist role involves bridging vision and execution for enterprise AI solutions in Seoul. Candidates must have 8+ years of experience in technical consulting or strategic roles, fluency in English and Korean, and expertise in AI/ML and enterprise data architecture.
The role involves owning the inference portfolio within the Cloud & Inference organization, setting strategy, and writing specs for production AI workloads. Candidates must have deep product experience in infrastructure, an engineering background, and fluency in business economics such as gross margin and unit economics.
The Learning & Development Lead will establish the foundation for learning culture and capabilities to support Mistral AI's growth. The role requires at least 8 years of HR experience, significant time in tech start-ups, and proven ability to build L&D functions across multiple countries.
The Legal Counsel role involves drafting and negotiating commercial agreements to support Mistral's North American business growth. Candidates must have 5+ years of legal experience, a U.S. bar license, and the ability to manage legal operations using AI tools.
The role involves structuring, drafting, and negotiating non-dilutive financing transactions for Mistral's infrastructure and compute investments. Candidates must have at least seven years of relevant legal experience, including four years at an international law firm, and proficiency in LMA-standard documentation.
The role involves transforming AI research into a strategic patent portfolio by drafting applications and managing global prosecution. Candidates must have proven experience in complex software/AI patent drafting and hands-on knowledge of LLMs or GenAI technologies.
The role involves developing and optimizing large language models and agentic AI systems to solve problems in natural sciences. Candidates must have strong expertise in LLMs, deep learning, and hands-on experience with frameworks like PyTorch or JAX.
The Logistics Manager role owns end-to-end logistics for high-value hardware, including deployment, inventory, and reverse logistics for Mistral's datacenter infrastructure. Candidates require at least five years of relevant experience in complex technical logistics, supplier management, and inventory control.
The role involves structuring, drafting, and negotiating M&A transactions and equity fundraisings under the Head of M&A and Finance Legal Counsel in Paris. Candidates must have a law degree, 4-5 years of relevant experience, and substantial M&A or equity financing expertise.
The Partner Sales Manager role focuses on driving strategy and execution for the Cloudera partnership across the United States. Candidates must have 10+ years of sales experience in the ISV space and strong technical credibility in AI/ML concepts.
The Partner Solution Architect role involves driving the adoption of Mistral's enterprise AI platform through pre-sales activities, partner enablement, and technical integration. Candidates must have experience in technical pre-sales or consulting, strong Python development skills, and the ability to manage complex implementation projects.
The Partner Solution Architect role involves driving the adoption of Mistral's enterprise AI platform through pre-sales activities, partner enablement, and technical integration. Candidates must have experience in technical pre-sales or consulting, strong Python development skills, and the ability to manage complex implementation projects.
The Partner Solution Architect role involves onboarding Mistral solutions to partner platforms and executing technical discovery with GTM teams. Candidates must have experience in technical presales or consulting, strong Python or TypeScript skills, and the ability to create enablement assets.
The People Onboarding Specialist designs and manages onboarding journeys for new hires across multiple regions. The role requires experience delivering onboarding programs, strong project management skills, and the ability to navigate HR technology.
The role involves building data pipelines and automations for People Operations, integrating HR systems like HRIS and ATS. Candidates must have strong SQL and Python skills, along with experience in data engineering and HR technology.
The People Tech & Analytics Lead owns the HR technology roadmap and builds analytics to improve people decisions. The role requires deep experience in HR technology, people analytics, and workflow automation with global HR platforms.
The Privacy Legal Counsel role involves shaping global privacy strategy for AI products and embedding with technical teams to build privacy-first solutions. Candidates must be qualified lawyers with 5-8 years of experience in privacy law, GDPR compliance, and AI technologies.
The Procurement Category Manager (IT and Data) role involves owning cost savings strategies for indirect spend, specifically in IT and Data categories. The position requires at least five years of experience as a Buyer or Category Manager and strong negotiation and project management skills.
The Procurement Category Manager role focuses on driving cost savings across Workplace and Marketing categories by defining and executing procurement strategies. Candidates must have at least five years of experience as a Buyer or Category Manager and demonstrate strong negotiation and project management skills.
The Product Director, Studio role involves owning the strategy and vision for Mistral's enterprise AI platform, Studio. The position requires 10+ years of product management experience, deep technical platform expertise, and proven people leadership to build and scale the PM organization.
The Product Manager on the Context team defines strategy for AI agents accessing context, data, and tools. The role requires 5+ years of Product Management experience, technical fluency, and strong cross-functional leadership skills.
The Product Manager on the Enterprise Controls team will shape strategy for AI platform governance, compliance, and user access management. The role requires 7+ years of product management experience, technical acumen, and strong cross-functional influence to drive enterprise adoption.
The Product Manager on the Studio team defines and executes product strategy for AI infrastructure tools, including workflows, observability, and asset tracking. The role requires experience with AI products, launching and scaling products, and leading cross-functional teams to build production-ready solutions.
The Product Manager role focuses on defining strategy for Mistral Vibe Code and Vibe Work, two AI-driven productivity tools. Candidates must have 5+ years of product management experience, with a focus on enterprise or productivity products and hands-on experience with generative AI or LLMs.
The Product Monetization & Pricing Lead shapes and executes pricing strategies for Mistral AI's product suite, working across Product, Engineering, Sales, and Finance. The role requires 8-10 years of experience in GTM or strategy, with at least 5 years of pricing experience for technical products.
The Product Operations Manager (DesignOps) role focuses on streamlining the design team's operations by defining its cadences, rituals, and coordination systems. The position requires 6-10 years of experience in design or product operations, with a founding design-ops mindset and strong systems thinking to build processes from scratch.
The role involves shaping Mistral AI's public affairs strategy and influence in Germany by engaging with policymakers and navigating AI regulation. Candidates need extensive public affairs experience, deep knowledge of German institutions, and expertise in tech regulations like the AI Act and GDPR.
The Recruiting Coordinator role involves coordinating global interview scheduling and managing candidate experience initiatives within the Talent Acquisition team. Candidates must have 4-5 years of recruiting coordination experience and strong organizational skills with proficiency in applicant tracking systems.
The Recruiting Coordinator role involves coordinating interview scheduling, managing candidate experience initiatives, and maintaining recruitment pipeline data. The position requires 2-3 years of experience in recruiting coordination, strong communication skills, and proficiency with applicant tracking systems.
The Recruiting Operations Manager role focuses on optimizing recruiting systems, data, and processes to support hiring over 100 people monthly. The position requires 5+ years in operations, including 2+ years in recruiting or HR operations, with strong systems thinking and organizational skills.
The role involves designing and implementing RL environments for cybersecurity scenarios, including vulnerability discovery and remediation. Candidates must have strong software engineering skills, Python fluency, and hands-on cybersecurity expertise.
The Research Engineer on the Eval Platform team builds infrastructure to measure model quality, ensuring evaluation results are reliable, reproducible, and fast. The role requires a Master's or PhD in Computer Science, 4+ years of production software experience, and strong Python skills.
The role involves building and operating infrastructure for Mistral's agentic models and coding assistants, including large-scale sandboxing and training pipelines. Candidates must have 4+ years of experience in systems engineering, distributed systems, or MLOps, with strong expertise in Kubernetes and high-performance software.
The role involves building and operating next-generation data infrastructure, including massive compute fleets and storage systems for MLOps and research. Candidates must have 4+ years of experience in Data Infrastructure or MLOps, with proficiency in Python and Kubernetes-native tooling.
The role involves building and operating next-generation data infrastructure for massive compute fleets and storage systems at Mistral AI. Candidates must have 4+ years of experience in Data Infrastructure or MLOps, with proficiency in Python and Kubernetes.
The Research Engineer role involves building post-training and evaluation workflows for model adaptation, data pipelines, and deployment infrastructure. Candidates require strong Python and PyTorch skills, along with experience in LLM training, systems fundamentals, and debugging large-scale ML systems.
The role involves collaborating with researchers and engineers to integrate AI models into client software and develop full-stack applications. Candidates must have a CS degree, 2+ years of technical experience, and strong skills in Python, TypeScript, and front-end/back-end frameworks.
The role involves developing low-level code and custom kernels to maximize GPU performance for large language model training and inference. Candidates must have high technical competence in distributed GPU clusters and strong software design instincts.
The role involves developing and optimizing the core inference engine and orchestration for production LLM serving. Candidates must have experience with inference engines like vLLM and a solid grasp of inference internals such as KV-cache behavior and batching.
The role involves researching and prototyping techniques to reduce latency and increase throughput in LLM inference, such as speculative decoding and quantization. Candidates must have a strong ML background, hands-on Python and PyTorch experience, and a track record of conducting experiments.
The role involves building and optimizing large-scale machine learning systems for open-weight models, either within the Platform or Embedded Research Engineering teams. Candidates must have a Master's or PhD in Computer Science and at least four years of experience working on large-scale ML codebases.
The role involves building and operating the ML platform for large-scale training, evaluation, and batch inference at Mistral AI. Candidates must have 4+ years of experience in ML infrastructure or distributed systems and proficiency in Python or Go.
The role involves designing and building the core of the Orchestral platform, including the rollout engine and distributed systems for training and evaluation. Candidates must have strong Python skills and experience building complex distributed systems at scale.
The Research Engineer role involves deploying and refining AI models for mobile manipulation on real robots in production environments. Candidates must have hands-on robotics software experience, mastery of Python, and proficiency in robotic control frameworks like ROS.
The role involves designing and operating a sandboxing platform for untrusted code at scale across Kubernetes clusters. Candidates must have strong software engineering and distributed systems experience, with fluency in Python or Rust.
The role involves building a cloud-agnostic platform to improve stability and scalability for the research department. Candidates need 5+ years of experience in DX, DevOps, or SRE roles with proficiency in Python and Go.
The role involves designing and hardening codebases, tools, and distributed services for training frontier-scale models. Candidates must have a Master's in Computer Science, 4+ years in large-scale systems, and fluency in Python plus one systems language.
The Revenue Operations Manager in Singapore partners with APAC sales leadership to drive commercial planning, territory design, and quota management for a 100+ person GTM organization. The role requires experience leading revenue operations teams in APAC, strong commercial judgment, and the ability to implement AI-driven process improvements.
This role leads commercial operations for Mistral's Inference business, owning demand forecasting, pricing, and margin models. Candidates must have revenue operations experience in variable-cost industries and strong SQL skills to build data models.
The Security Compliance Specialist role involves developing and operating Mistral AI's cybersecurity compliance program, including supporting the Information Security Management System and coordinating internal and external audits. Candidates must have 5+ years of experience in cybersecurity compliance and strong knowledge of frameworks such as ISO 27001 and SOC 2.
The role involves supervising the EMEA commercial legal team and supporting business deal-making through contract drafting and negotiation. Candidates require a Master's degree in law and 8-10 years of relevant experience, with essential knowledge of AI technologies and contract law.
The role involves leading complex hardware interventions, including multi-node failures and GPU-dense deployments, across Mistral's data centers. Candidates must have 6+ years of data center hardware experience and strong diagnostic skills.
The Senior Field Marketing Manager for the DACH region owns and executes the regional field marketing strategy to drive brand awareness and revenue growth. The role requires 5+ years of experience in field marketing, enterprise B2B tech background, and fluency in German and English.
The Senior Field Marketing Manager owns and executes Mistral's field marketing strategy for Northern Europe, driving brand awareness and revenue growth. The role requires 5+ years of experience in field marketing, ABM, and event management within an enterprise B2B tech context.
The role involves providing labour law expertise to the Corporate Legal team, focusing on French legal requirements and operational efficiency. Candidates must have a Master's degree in French Labour Law and 6-8 years of experience in a multinational environment.
The role involves owning industry-specific go-to-market initiatives for verticals like manufacturing and finance. Candidates need 5+ years in industry solutions or product marketing and strong cross-functional collaboration skills.
The role involves developing and managing a third-party risk management program to identify, assess, and mitigate risks from vendors and partners. Candidates must have 7+ years of experience in third-party risk management or cybersecurity compliance, with proficiency in standards like ISO 27001 and regulations such as NIS2.
The role involves designing and maintaining highly available infrastructure for web services and ML workloads while balancing production operations with long-term engineering improvements. Candidates must have a Master's degree and 7+ years of experience in DevOps/SRE, with strong skills in cloud computing, distributed systems, and CI/CD tools.
The Site Reliability Engineer role focuses on shaping the reliability, scalability, and performance of Mistral's platform and customer-facing applications. Candidates must have a Master's degree and 7+ years of experience in DevOps or SRE, with strong expertise in cloud computing and distributed systems.
The Site Reliability Engineer role involves owning and operating large-scale Linux environments, cloud systems, and AI workloads for Mistral's sovereign AI platform. Candidates must have strong Linux system administration experience at scale and proficiency in Slurm and/or Kubernetes to manage workloads effectively.
The Site Reliability Engineer role involves owning and operating large-scale Linux environments, cloud systems, and AI workloads for Mistral's sovereign AI platform. Candidates must have strong Linux system administration experience at scale and proficiency in Slurm and/or Kubernetes to manage workloads effectively.
The Site Reliability Engineer role focuses on shaping the reliability, scalability, and performance of Mistral's Cloud platform and customer-facing applications. Candidates must have a Master's degree and 5+ years of experience in DevOps or SRE, with strong expertise in bare metal infrastructure and distributed systems.
The role involves building a Go-based delivery pipeline to automate datacenter hardware provisioning and validation. Candidates must have 5+ years of backend experience and deep Linux knowledge to reduce time-to-acceptance for GPU fleets.
The role involves building and owning the Kubernetes control plane for a sovereign AI cloud, focusing on scheduling, GPU support, and bare metal provisioning. Candidates must have shipped production systems in Go and extensive experience running Kubernetes and Linux infrastructure.
The role involves building secure, isolated sandbox environments for AI agents and reinforcement learning workloads using Go. Candidates must have deep Linux internals knowledge, production Go experience, and 5+ years in backend or infrastructure systems.
The role involves building a serverless containers product for AI workloads, including scheduling, routing, and scale-to-zero capabilities across CPU and GPU. Candidates must have shipped production systems in Go and possess deep Linux and container platform experience.
The role involves building and owning the storage stack, including block, file, and object storage, for a sovereign AI cloud. Candidates must have 5+ years of experience building backend or infrastructure systems and deep distributed-systems fundamentals.
The role involves designing and building systems for operating large-scale data center networks, focusing on leaf-spine architectures and automation. Candidates must have deep hands-on experience with Ethernet switching, IP routing, BGP, EVPN/VXLAN, and production network automation.
The role involves designing and automating resilient WAN and edge connectivity for AI infrastructure, including BGP policy and firewall management. Candidates need deep hands-on networking experience, production automation skills, and strong software engineering fundamentals.
The role involves designing and maintaining scalable backend systems and APIs for Mistral's AI platform, including authentication, billing, and developer tools. Candidates must have experience with distributed systems, performance optimization, and secure architecture design.
The role involves developing backend systems and APIs for Mistral's AI products, including AI Studio, Le Chat, and Mistral Code. Candidates must have a degree in Computer Science or equivalent experience and proficiency in Python or another backend language.
The role involves owning the software development lifecycle by building and monitoring CI/CD pipelines to accelerate deployments. Candidates must have 5+ years of experience in DevOps or Developer Experience, with strong proficiency in Go, Python, and site reliability engineering practices.
The role involves designing and maintaining scalable frontend features for Mistral's AI products using a modern stack. Candidates must be proficient in TypeScript and NodeJS, with experience in a frontend framework like React or NextJS.
This role serves as a strategic business partner to the Solution team, driving end-to-end staffing strategy and capacity planning. The position requires 3+ years of experience in strategic operations or resource management, along with strong analytical skills using tools like Salesforce and BI platforms.
The role is a Solutions Operations Manager for strategic accounts in Paris, acting as a Technical Program Manager to account leadership. It requires a technical background and 3-5 years of experience managing complex, multi-stakeholder technical programs.
The Solution Operations Manager partners with Solutions leadership to build and scale an operating system for value and operational excellence. The role requires 4+ years of experience in strategic or business operations, with strong analytical and technical skills to build automations and ROI frameworks.
The Staff AI Deployment Strategist role involves shaping enterprise AI adoption in the DACH region and sponsoring high-impact customer programs. Candidates must have 8 to 10+ years of experience in strategy consulting or transformation, with strong executive presence and business judgment.
The role involves shaping AI adoption strategies for enterprises in the UK and Nordics, focusing on high-impact transformations and executive engagement. Candidates must have 8-10+ years of experience in strategy consulting or transformation, with strong executive presence and the ability to lead complex programs.
The role involves negotiating complex licensing and revenue-sharing agreements to secure high-value data and content for AI training and distribution. Candidates must have a proven track record of closing deals over $10M, a strong STEM background, and legal acumen in data acquisition and global copyright laws.
The Strategic Partner Lead role focuses on driving global strategy and execution for Mistral's SAP partnership in Germany. Candidates must have at least 10 years of GTM experience, including 5+ years in partner management, and deep knowledge of the SAP ecosystem.
This role owns Mistral's strategic relationship with EY across APAC, managing joint go-to-market activities to deliver revenue and industry impact. Candidates must have 8-12+ years of partner-led revenue experience with GSIs and direct management of the EY relationship at executive levels.
The role involves defining and executing Mistral's hiring strategy while leading a recruiting team. Candidates must have 8+ years of corporate recruiting experience and proven leadership skills.
The role involves owning full-cycle recruitment for Corporate and GTM functions across EMEA markets. Candidates must have 6+ years of recruiting experience, including 2+ years in a startup or high-growth B2B SaaS company, with expertise in AI/ML and enterprise software talent pools.
This role involves owning end-to-end recruiting processes for the EMEA People team, partnering with hiring managers to fill technical and non-technical roles. Candidates must have 5+ years of experience in fast-paced environments and demonstrate proficiency in autonomous hiring and international recruiting.
This role involves managing end-to-end recruiting for business and technical positions within Mistral's US team. Candidates must have at least four years of recruiting experience, including outbound search, and proficiency with tools like Ashby.
The role involves designing and executing global early careers strategies, including internships and graduate hiring, from the Paris HQ. Candidates must have 7+ years of recruiting experience, team leadership skills, and expertise in international university partnerships.
The role involves partnering with hiring managers to attract and secure top-tier technical talent across Product, Engineering, and Science. Candidates must have 5+ years of recruiting experience, preferably in tech, and demonstrate data-driven and global hiring capabilities.
This role involves building and scaling Mistral's US-based revenue-generating teams by owning full-cycle recruitment for Sales and Go-To-Market functions. Candidates must have 6+ years of recruiting experience, including 2+ years in a startup or high-growth B2B SaaS company, with a focus on Sales and GTM roles.
This role involves owning full-cycle technical recruitment for Research Science and Engineering positions across the US. Candidates must have 6+ years of recruiting experience, including 2+ years in a startup or high-growth environment, with a focus on technical roles.
The role is a Talent Sourcer in Seoul responsible for identifying and attracting top technical talent in South Korea. Candidates must have 5+ years of relevant recruiting experience and fluency in English.
The role involves planning and executing complex technical programs within Mistral's Engineering organization to deliver high-impact projects on time and within budget. Candidates must possess a relevant scientific degree, proven experience managing technical programs, and strong cross-functional leadership skills.
The Technical Program Manager oversees the delivery of Mistral's high-performance computing projects from deployment to production. The role requires a technical degree and proven experience in large infrastructure project management, with a focus on managing timelines, budgets, and cross-functional collaboration.
The role involves leading and scaling human data annotation operations for the Code team while collaborating with researchers to define data strategies. Candidates must have 5+ years of experience in software engineering and technical program management, along with strong Python skills.
The role involves partnering with Mistral's code research team to manage operational visibility, coordination, and the path from research to release. Candidates need a bachelor's degree in a related field and at least three years of experience in technical program management or research coordination.
This role is a hybrid L1/L2 Technical Support Engineer for Mistral's new Compute Support team, focusing on GPU clusters and Kubernetes environments. Candidates must have 5+ years of experience in system administration or infrastructure operations, with mandatory hands-on Kubernetes expertise and deep Linux/Unix knowledge.
The VP Product role owns the Cloud and Inference portfolio, including managed Kubernetes, GPU clusters, and inference APIs. The candidate must define strategy, build the PM organization, and drive adoption, revenue, and gross margin for a sovereign AI cloud.
The VP of Demand Generation leads Mistral's global demand generation and field marketing organization as the CMO's right hand. The role requires 12+ years of experience in B2B tech demand generation and proven success driving enterprise pipeline.
The VP of Global Developer Relations leads a global DevRel strategy to build communities and engage technical audiences with Mistral's AI models. The role requires proven leadership in developer relations, deep technical credibility, and the ability to scale a global team of advocates.
The role involves managing day-to-day San Francisco office operations, including vendor relationships, logistics, and employee engagement events. Candidates need at least three years of experience in office management or workplace operations, along with strong organizational and communication skills.
The Workplace Project Manager role involves owning complex, multi-site workplace projects and aligning global workplace strategy with company values. The position requires 8+ years of experience in workplace project management, facilities management, or corporate real estate, along with strong financial and vendor negotiation skills.
The Controller role involves owning accounting operations and building the in-house finance function at Nous Research. Candidates must have a CPA and six or more years of experience in accounting and finance, including prior Controller or Assistant Controller roles at a technology company.
The Controller role involves owning the day-to-day accounting function, including the monthly close, US GAAP reporting, and accounts payable/receivable. Candidates must have an active CPA credential and 6+ years of experience in technology accounting, with strong technical judgment and financial modeling skills.
The Data Engineer role involves building and operating production data pipelines for analytics and model training, focusing on long-horizon agentic data. Candidates must have 4+ years of experience, strong SQL and Python skills, and production experience with workflow orchestration systems.
The Forward Deployed Engineer role involves deploying and adapting Hermes Agent Enterprise in complex customer environments. Candidates must have 5+ years of software engineering experience and strong debugging skills across distributed systems and cloud infrastructure.
The Head of Security role involves building and owning end-to-end security for infrastructure, products, and enterprise deployments at Nous Research. Candidates must have 8+ years of security engineering experience with deep expertise in multi-cloud infrastructure and production SaaS environments.
This role involves building and maintaining evaluation infrastructure for agent capabilities, including LLM-as-judge systems and benchmark design. Candidates require 3+ years of software or ML engineering experience, solid Python skills, and hands-on experience with LLM evaluation frameworks.
The Office Manager role supports the New York office by managing day-to-day operations, vendor relationships, and executive assistant duties for leadership. Candidates must have at least three years of experience in office management or operations and be based in or willing to work from New York City.
The Partnerships Lead role owns external engagement for Nous Research, managing inbound interest and building durable relationships with the AI ecosystem. Candidates need experience in partnerships or business development, strong communication skills, and the ability to work across US and China time zones.
The Product Analytics Engineer role involves owning measurement systems for Hermes Agent, including instrumentation, event pipelines, and dashboards. Candidates must have 5+ years of experience in analytics or data engineering, with expert SQL and Python skills.
This role owns the product direction and execution for Hermes Agent, working directly with the Co-Founder to prioritize and ship features. Candidates must have product management experience, a software engineering background, and hands-on experience building AI agent products.
This role owns the Hermes Enterprise roadmap and packaging for managed and customer-controlled deployments. Candidates must have 5+ years of product management experience, enterprise foundations expertise, and strong technical fluency with LLMs and AI agents.
The role involves building and maintaining infrastructure for Hermes Agent and Nous Portal across web, desktop, and mobile platforms. Candidates must have production software experience, depth in one technical area, and fluency in TypeScript and Python.
The role involves owning full-stack engineering for the Hermes Cloud platform, including infrastructure, deployment systems, and user-facing features. Candidates require 3+ years of experience with cloud platforms, containerization, and CI/CD pipelines.
This role owns the Hermes Agent mobile experience, including native iOS and Android apps, a cross-platform layer, and backend work. Candidates need 5+ years of mobile engineering experience, strong native development skills, and the ability to build production apps end to end.
The role involves building customer-facing product experiences for Hermes Agent and Nous Portal across desktop, web, and mobile. Candidates require 7+ years of full-stack experience with TypeScript, Node.js, React, and Python.
The 3P Systems Architect defines rack- and cluster-level reference designs for AI infrastructure in collaboration with external partners. The role requires strong system architecture experience, vendor management skills, and the ability to translate workload requirements into executable system designs.
This role supports OpenAI's Enterprise Go-To-Market team by identifying and advancing complex enterprise opportunities in regulated industries. Candidates need 2-6+ years of sales experience and strong executive communication skills.
This role supports OpenAI's Enterprise Go-To-Market team by identifying and advancing complex enterprise opportunities in regulated industries. Candidates must have 4-6+ years of experience in enterprise sales or strategic customer-facing roles, with strong communication skills and the ability to build credibility with senior stakeholders.
This role supports OpenAI's Enterprise Go-To-Market team by identifying and advancing complex enterprise opportunities in regulated industries. Candidates must have 4+ years of experience in enterprise sales or strategic customer-facing roles and speak fluent business-level Korean.
This role involves building and scaling pipeline for Japan Strategic & Large Enterprise, DNB, and Startup accounts through outbound, discovery, and stakeholder mapping. Candidates must have native or near-native Japanese, business-level English, and a strong track record in B2B SaaS or technology sales development.
This role involves owning large enterprise cybersecurity accounts to win new business and expand AI adoption. Candidates must have 14+ years of experience selling complex SaaS or PaaS products to large enterprises with a strong track record in the cybersecurity ecosystem.
This role involves managing key accounts and leading enterprise prospects through the sales cycle to achieve consumption revenue targets. Candidates must have 7+ years of experience selling SaaS or PaaS and a history of exceeding $1M annual revenue targets.
This role involves managing customer accounts and driving opportunities through the entire sales cycle for OpenAI's AI products. Candidates must have 8+ years of experience selling SaaS or PaaS and working with c-level executives.
This role involves managing key enterprise accounts and driving the sales cycle from pipeline generation to closure. Candidates must have 14+ years of experience selling SaaS or PaaS and a history of exceeding revenue targets.
This role involves driving new business opportunities and managing enterprise sales cycles for OpenAI's AI products. Candidates must have 8+ years of SaaS experience and a track record of exceeding $1M annual revenue targets.
This role involves driving the sales cycle for OpenAI's AI products in Singapore, from pipeline generation to closure. Candidates must have 7+ years of experience selling SaaS or PaaS and managing complex account strategies.
This role involves managing customer accounts and driving opportunities through the entire sales cycle for OpenAI's AI products. Candidates must have 7+ years of experience selling SaaS or PaaS and working with c-level executives.
This role is an Account Director in OpenAI's Go To Market Sales team based in Tokyo. The position requires 7+ years of SaaS experience and a history of exceeding $1M annual revenue targets.
This role involves managing customer accounts and driving opportunities through the entire sales cycle for OpenAI's GTM team. Candidates must have 7+ years of experience selling SaaS or PaaS products and working with c-level executives.
This role involves managing key accounts and leading enterprise prospects through the sales cycle to achieve consumption revenue targets. Candidates must have 5-7+ years of experience selling SaaS or PaaS in France and a track record of exceeding $1M annual revenue targets.
This role involves managing key accounts and leading enterprise prospects through the sales cycle to achieve consumption revenue targets. Candidates must have 5-7+ years of experience selling SaaS or PaaS and a track record of exceeding $1M annual revenue targets.
This role involves managing customer accounts and driving opportunities through the entire sales cycle for OpenAI's GTM team. Candidates must have 9+ years of experience selling SaaS or PaaS products and managing complex customer relationships.
This role involves managing key accounts and leading enterprise prospects through the sales cycle to achieve consumption revenue targets. Candidates must have 5-7+ years of SaaS experience in the UAE and a track record of exceeding $1M annual revenue targets.
This role involves managing key enterprise accounts and leading prospects from consideration to deployment while owning consumption revenue targets. Candidates must have 10+ years of SaaS experience and a track record of exceeding $2M annual revenue targets.
This role involves managing enterprise accounts across ANZ and leading prospects from consideration to deployment. Candidates must have 7+ years of SaaS experience and a track record of exceeding $2M annual revenue targets.
This role involves managing federal accounts and driving the sales cycle for OpenAI's government products. Candidates must have 14+ years of experience selling SaaS to the federal government and a history of exceeding revenue targets.
This role involves leading account strategy and commercial execution for an emerging defense technology portfolio within OpenAI's Federal Partnerships team. Candidates must have 8+ years of relevant experience in government, defense, or SaaS, with at least 2 years in private-sector customer-facing roles.
This role involves owning executive-level relationships with leading Insurance organizations to deploy OpenAI's technology for financial data analysis and operations. Candidates must have 14+ years of enterprise sales experience and 4+ years in Financial Insurance, with proven success achieving revenue targets over $2M.
This role manages key accounts in the Financial Services Industry, driving opportunities from pipeline generation to closure. Candidates must have 7+ years of experience selling SaaS or PaaS in this sector and native-level Japanese proficiency.
This role leads OpenAI's public-sector sales efforts in Australia and New Zealand, managing complex government accounts and opportunities across APAC. Candidates require 10+ years of government sales experience, an Australian Government security clearance, and the ability to navigate complex procurement and security environments.
This role involves owning executive-level relationships with leading healthcare organizations to deploy OpenAI's technology for clinical and administrative workflows. Candidates must have 14+ years of experience selling complex enterprise software to healthcare organizations and a track record of achieving revenue targets over $2M.
This role involves managing key accounts and leading prospects from consideration to deployment for OpenAI's AI products. Candidates must have 10+ years of experience selling SaaS or PaaS and be fluent in Korean and English.
This role involves managing complex enterprise accounts and leading sales cycles from pipeline generation to closure. Candidates must have 10+ years of SaaS experience and a track record of exceeding $2M annual revenue targets.
This role involves owning large enterprise accounts to win new business and expand adoption of OpenAI's AI products. Candidates must have 14+ years of experience selling complex SaaS or PaaS products to large enterprises and managing consumption-based revenue.
This role involves managing key enterprise accounts and leading sales cycles from pipeline generation to closure. Candidates must have 10+ years of experience selling SaaS or PaaS and a history of exceeding revenue targets.
This role involves managing complex enterprise accounts and leading sales cycles from pipeline generation to closure. Candidates must have 10+ years of SaaS experience and a track record of exceeding $2M annual revenue targets.
This role involves managing key enterprise accounts and leading prospects from consideration to deployment while owning consumption revenue targets. Candidates must have 10+ years of SaaS experience and a track record of exceeding $2M annual revenue targets.
This role involves managing key enterprise accounts and leading sales cycles from pipeline generation to closure. Candidates must have 10+ years of SaaS experience and a track record of exceeding $2M annual revenue targets.
This role involves managing key accounts and leading enterprise prospects through the sales cycle for OpenAI's AI products in the Financial Services industry. Candidates must have 10+ years of experience selling SaaS to large Financial Services institutions in South East Asia and a track record of exceeding revenue targets.
This role manages key enterprise accounts in Tokyo, driving the sales cycle from pipeline generation to closure. Candidates must have 7+ years of SaaS experience, bilingual proficiency in Japanese and English, and a track record of exceeding $1M revenue targets.
This role involves owning executive relationships with life sciences organizations to deploy OpenAI's technology for R&D and clinical workflows. Candidates must have 14+ years of enterprise sales experience in regulated life sciences environments.
This role involves managing key accounts and leading enterprise prospects through the sales cycle to achieve consumption revenue targets. Candidates must have 7+ years of SaaS experience, bilingual proficiency in Japanese and English, and a track record of exceeding $1M annual revenue targets.
This role is an Account Director for OpenAI's ANZ Mid-Market team, responsible for managing a portfolio of accounts and owning consumption revenue targets. Candidates must have 7+ years of direct selling experience in Data, AI, or Cloud, along with skills in go-to-market strategy and partner orchestration.
This role is an Account Director in OpenAI's APAC Mid-Market team, responsible for managing a portfolio of accounts and owning consumption revenue targets. Candidates must have 7+ years of direct selling experience in Data, AI, or Cloud, along with skills in go-to-market strategy and partner orchestration.
This role is an Account Director for OpenAI's APAC Mid-Market team, responsible for managing named accounts and executing programmatic sales via partners. Candidates must have 7+ years of direct selling experience in Data, AI, or Cloud, along with skills in go-to-market strategy and partner orchestration.
This role is an Account Director for OpenAI's APAC Mid-Market team in Seoul, responsible for managing named accounts and executing programmatic sales via partners. Candidates must have 7+ years of direct selling experience in Data, AI, or Cloud, along with skills in go-to-market strategy and partner orchestration.
This role involves managing key accounts and leading enterprise prospects through the sales cycle to achieve consumption revenue targets. Candidates must have 7+ years of SaaS experience, bilingual proficiency in Japanese and English, and a track record of exceeding $1M annual revenue targets.
The Account Director role involves owning relationships with top startup customers and supporting their growth on the OpenAI platform. Candidates must have 6+ years of experience selling SaaS or PaaS and managing complex account strategies.
The Account Director role involves managing relationships with top startup customers and supporting their use of OpenAI's platform. Candidates must have 7-12 years of experience selling PaaS or API products and speak Mandarin.
The Account Director role involves owning relationships with top startup customers and supporting their growth on the OpenAI platform. Candidates must have 8+ years selling platform-as-a-service or API products and experience working with the startup ecosystem.
The Account Director role involves managing relationships with top startup customers and supporting their technical integration with OpenAI's platform. Candidates require 7-12 years of experience selling PaaS or API products and working within the startup ecosystem.
The Accounting Manager role involves owning close activities, intercompany accounting, and internal controls for assigned balance sheet and P&L areas. Candidates require 6+ years of progressive accounting experience, strong general accounting knowledge, and hands-on intercompany experience.
The Japan Ads Marketing Manager will build OpenAI's advertising business in Japan, focusing on growing small and medium-sized advertisers. The role requires experience in digital advertising, deep understanding of the Japanese market, and strong analytical skills to drive revenue outcomes.
This role involves improving the capabilities and reliability of OpenAI's agentic models through research, engineering, and product collaboration. Candidates must have strong technical fundamentals in machine learning or software engineering and hands-on experience with LLMs, RL, or post-training.
This role involves training frontier models to operate computers, navigate browsers, and use tools for complex workflows. Candidates must have strong technical fundamentals in machine learning and hands-on experience with LLMs, RL, or post-training.
The Agent Standards Architect leads OpenAI's external technical standards strategy for agent identity, delegated authority, and related workstreams. The role requires experience in technical standards, internet protocols, and security architecture to author specifications and represent the company in forums like IETF and W3C.
The AI Deployment Manager is a specialist post-sales enablement role focused on delivering high-impact enablement and adoption services across OpenAI's product suite. The role requires 6+ years of experience in customer-facing enablement, strong product fluency, and the ability to design and deliver training for diverse enterprise audiences.
The role involves building and operating infrastructure for large-scale model training and evaluation to improve reliability and efficiency. Candidates must have strong software engineering fundamentals and experience with large-scale distributed systems or ML infrastructure.
The AI Support Engineer role involves troubleshooting complex technical issues for customers via tickets and live calls, including API failures and production incidents. Candidates must have 8+ years of experience in technical support or engineering, with strong SaaS troubleshooting and Python scripting skills.
The AI Support Engineer role involves troubleshooting complex technical issues for customers via tickets and live calls, including API failures and production incidents. Candidates must have 8+ years of experience in technical support or engineering, with strong SaaS troubleshooting and Python scripting skills.
The AI Support Engineer role involves troubleshooting complex technical issues for customers and partnering with engineering to improve support systems. Candidates must have 8+ years of experience in technical support or engineering and strong SaaS troubleshooting skills.
This role involves troubleshooting complex technical issues for customers via tickets and live calls while partnering with Engineering and Product to improve support systems. Candidates must have 8+ years of experience in technical support or engineering, strong SaaS troubleshooting skills, and the ability to script code using Python or emerging AI tools.
The AI Support Engineer role involves troubleshooting complex technical issues for customers and partnering with engineering to improve support systems. Candidates must have 8+ years of experience in technical support or engineering and be fluent in English.
The AI Support Engineer role involves troubleshooting complex technical issues for customers via tickets and live calls while partnering with Engineering and Product. Candidates must be fluent in Korean and English, with 8+ years of experience in technical support or engineering and a bachelor's degree in a relevant field.
The AI Support Engineer role involves troubleshooting complex technical issues for customers via tickets and live calls while partnering with Engineering and Product. Candidates must have 8+ years of experience in technical support or engineering, be fluent in English, and work a hybrid schedule in Singapore.
The AI Support Engineer role involves troubleshooting complex technical issues for customers and partnering with engineering to improve support systems. Candidates must be fluent in Japanese and English and have 8+ years of experience in technical support or engineering.
The AI Support Engineer role involves troubleshooting complex technical issues for customers via tickets and live calls while partnering with Engineering and Product. Candidates must be fluent in Korean and English, with 8+ years of experience in technical support or engineering and a bachelor's degree in a relevant field.
The AI Support Engineer role involves troubleshooting complex technical issues for customers via tickets and live calls while partnering with Engineering and Product. Candidates must be fluent in Japanese and English, have 8+ years of technical experience, and work a hybrid schedule with weekly weekend shifts.
The AI Support Engineer role involves troubleshooting complex technical issues for customers via tickets and live calls, including API failures and production incidents. Candidates must have 5+ years of experience in technical support or engineering, with strong SaaS troubleshooting and Python scripting skills.
The AI Support Engineer role involves troubleshooting complex technical issues for customers via tickets and live calls, including API failures and production incidents. Candidates must have 8+ years of experience in technical support or engineering, with strong SaaS troubleshooting and Python scripting skills.
This role supports public sector customers by troubleshooting complex technical issues and providing guidance on OpenAI's platform. Candidates must have 8+ years of experience in technical support or engineering and a U.S. government background investigation.
This role supports public sector customers by troubleshooting complex technical issues and providing guidance on OpenAI's platform. Candidates must have 8+ years of experience in technical support or engineering and a U.S. government background investigation.
The role involves building and maintaining the core agent harness for Codex, focusing on safe execution, orchestration, and production reliability. Candidates must have hands-on experience with distributed systems, ML workflows, and debugging complex AI agent behavior across the stack.
This role involves building data models, metrics, and dashboards to support Go-to-Market analytics and decision-making. Candidates must have 10+ years of experience, deep SQL expertise, and proficiency in Python and BI tools.
The Android Engineer, Ad Formats role builds native Android experiences and client-side systems for OpenAI's ads ecosystem. Candidates must have 4+ years of Android experience and be fluent in Kotlin, Gradle, and Jetpack Compose.
The Senior Android engineer builds core mobile experiences and reusable Android foundations for OpenAI's Applied Foundations team. The role requires 4+ years of experience, fluency in Kotlin or Java, and a focus on security, reliability, and user experience.
The role involves building and improving image generation experiences within the ChatGPT Android app. Candidates must have deep experience building Android applications using Kotlin and modern frameworks.
The role is a senior Android engineer position on the ChatGPT Library team in Seattle. The engineer will own high-impact product experiences across the Android stack, focusing on building scalable, maintainable foundations for content organization and discovery.
The Android Engineer role focuses on building mobile experiences for plugins, connectors, and interactive apps within ChatGPT. Candidates must have deep experience with Kotlin and modern Android frameworks, along with a platform mindset for designing reusable interfaces.
The APAC Sales Development Leader will build and lead OpenAI's enterprise Sales Development organization across Asia Pacific, reporting to the Head of Global Sales Development. The role requires 10+ years of experience in enterprise sales or GTM leadership, with a focus on scaling pipeline generation and managing distributed teams.
This role involves building and scaling the outsourced operating model for OpenAI's Ads business in APAC. The position requires designing governance, performance systems, and capacity plans to manage BPO partners and drive commercial outcomes.
This role involves building and scaling the outsourced operating model for OpenAI's Ads business in APAC. The position requires designing governance, performance systems, and capacity plans to manage BPO partners and drive commercial outcomes.
The Applied AI Architect serves as the senior technical owner for a customer portfolio, shaping AI strategy and guiding adoption from evaluation to production. The role requires strong architectural judgment, customer-facing technical experience, and the ability to partner with executives and engineers.
The Applied AI Architect serves as the senior technical owner for a customer portfolio, shaping AI strategy and guiding adoption from evaluation to production. The role requires strong architectural judgment, customer-facing technical experience, and the ability to partner with executives and engineers.
The Applied AI Architect serves as the senior technical owner for a customer portfolio, shaping AI strategy and guiding adoption from evaluation to production. The role requires strong architectural judgment, customer-facing technical experience, and the ability to partner with executives and engineers.
The Applied AI Architect serves as the senior technical owner for a customer portfolio, shaping AI strategy and guiding adoption from evaluation to production. The role requires strong architectural judgment, customer-facing technical experience, and the ability to partner with executives and engineers.
The Applied AI Architect serves as the senior technical owner for a customer portfolio, shaping AI strategy and guiding production adoption. The role requires strong architectural judgment, customer-facing technical experience, and the ability to lead discovery and deployment across enterprise AI solutions.
The Applied AI Architect serves as the senior technical owner for a customer portfolio, shaping AI strategy and guiding adoption from evaluation to production. The role requires strong architectural judgment, customer-facing technical experience, and the ability to partner with executives and engineers.
The Applied AI Architect serves as the senior technical owner for a customer portfolio, shaping AI strategy and guiding adoption from evaluation to production. The role requires strong architectural judgment, customer-facing technical experience, and the ability to partner with executives and engineers.
The Applied AI Architect serves as the senior technical owner for a customer portfolio, shaping AI strategy and guiding adoption from evaluation to production. The role requires strong architectural judgment, customer-facing technical experience, and the ability to partner with executives and engineers.
The Cybersecurity Applied AI Architect partners with customers to deploy OpenAI models for security use cases like code review and vulnerability triage. The role requires 5+ years of technical consulting experience and strong cybersecurity domain expertise.
The Applied AI Architect serves as the senior technical owner for a customer portfolio, shaping AI strategy and guiding adoption from evaluation to production. The role requires strong architectural judgment, customer-facing technical experience, and the ability to partner with executives and engineers.
The Applied AI Architect serves as the senior technical owner for a portfolio of digital-native customers, guiding their AI strategy from discovery to production adoption. The role requires strong architectural judgment, customer-facing technical experience, and the ability to lead executive and engineering stakeholders.
The Applied AI Architect serves as the senior technical owner for a customer portfolio, shaping AI strategy and guiding adoption from evaluation to production. The role requires strong architectural judgment, customer-facing technical experience, and the ability to partner with executives and engineers.
The Applied AI Architect for Education role serves as the senior technical owner for a portfolio of education customers, guiding their AI strategy from discovery to production adoption. The position requires strong architectural judgment, education-sector fluency, and the ability to partner with institutional leaders to design secure and scalable AI solutions.
The Applied AI Architect serves as the senior technical owner for a customer portfolio, shaping AI strategy and guiding adoption from evaluation to production. The role requires strong architectural judgment, customer-facing technical experience, and the ability to partner with executives and engineers.
The Applied AI Architect serves as the senior technical owner for a portfolio of public sector customers, guiding their AI strategy from discovery to production adoption. The role requires strong architectural judgment, public sector fluency, and experience with government agencies and security requirements.
The Applied AI Architect serves as the senior technical owner for a portfolio of Healthcare and Life Sciences customers, guiding their AI strategy from discovery to production adoption. The role requires strong architectural judgment, industry fluency, and the ability to partner with executives and engineers to design secure, scalable AI solutions.
The Applied AI Architect serves as the senior technical owner for a customer portfolio, shaping AI strategy and guiding production adoption. The role requires strong architectural judgment, customer-facing technical experience, and the ability to lead executive and technical stakeholders.
The Applied AI Architect serves as the senior technical owner for a customer portfolio, shaping AI strategy and guiding adoption from evaluation to production. The role requires strong architectural judgment, customer-facing technical experience, and the ability to partner with executives and engineers.
The Applied AI Architect serves as the senior technical owner for a portfolio of public sector customers, guiding them from pre-sales discovery through production adoption. The role requires strong architectural judgment, public sector fluency, and the ability to lead technical strategy across ChatGPT Enterprise, the OpenAI API, and agentic AI solutions.
The Partner Applied AI Architect serves as a senior technical advisor to strategic partners, shaping technical strategies and architectures for OpenAI products. The role requires strong architectural judgment, executive presence, and experience guiding enterprise organizations from discovery through production adoption.
The Applied AI Architect serves as the senior technical owner for a portfolio of retail customers, guiding their AI strategy from discovery to production adoption. The role requires strong architectural judgment, customer-facing technical experience, and fluency in modern AI systems and retail business needs.
The Applied AI Delivery Lead owns the delivery of priority AI initiatives for OpenAI's largest customers, leading complex deployments from planning through launch and adoption. The role requires 7+ years of experience in enterprise technology deployments, strong technical aptitude, and the ability to resolve blockers and drive measurable customer value.
This role involves owning the delivery of priority AI initiatives for OpenAI's largest customers, leading complex deployments from planning through launch and adoption. The position requires 7+ years of experience in enterprise technology deployments, strong technical aptitude, and the ability to manage cross-functional stakeholders and resolve delivery risks.
This role involves owning the delivery of priority AI initiatives for OpenAI's largest customers, leading complex deployments from planning through launch and adoption. The position requires 7+ years of experience in enterprise technology deployments, strong technical aptitude, and the ability to resolve blockers and drive measurable customer value.
The Applied AI Engineer role involves partnering with enterprise customers to design, build, and deploy AI systems that deliver measurable business outcomes. Candidates must have a track record of delivering AI or machine-learning systems in enterprise environments and be highly proficient in Python.
The Applied AI Engineer role involves partnering with enterprise customers to design, build, and deploy AI systems that deliver measurable business outcomes. Candidates must have a track record of delivering AI or machine-learning systems in enterprise environments and be highly proficient in Python.
The Applied AI Engineer role involves partnering with enterprise customers to design, build, and deploy production AI systems that deliver measurable business outcomes. Candidates must have a track record of delivering AI or machine-learning systems in enterprise environments and be highly proficient in Python.
The Applied AI Engineer role involves partnering with enterprise customers to design, build, and deploy AI systems that deliver measurable business outcomes. Candidates must have a track record of delivering AI or machine-learning systems in enterprise environments and be proficient in Python.
The Applied AI Engineer role involves deploying generative AI applications for enterprise customers in the Digital Natives segment. Candidates must have 8+ years of hands-on technical experience and a track record of leading production-scale AI/ML systems.
The Applied AI Engineer role involves deploying generative AI applications for enterprise customers in the Digital Natives segment. Candidates must have 8+ years of technical experience and proficiency in Python, JavaScript, or TypeScript to build production systems.
The Applied AI Engineer role involves partnering with customers to design and scale AI coding workflows using OpenAI Codex. Candidates must have 5+ years of technical consulting experience and be an active power user of AI coding tools.
The Applied AI Engineer role partners with engineering organizations to design and deploy AI-powered software development workflows using Codex. Candidates must have hands-on experience building production systems, proficiency in Python, and the ability to evaluate AI coding systems systematically.
The Applied AI Engineer role partners with engineering organizations to design and deploy AI systems that transform software development workflows. Candidates must have a track record of building production systems and proficiency in Python.
The Applied AI Engineer role partners with engineering organizations to design and deploy AI-powered software development workflows using Codex. Candidates must have a track record of building production systems, proficiency in Python, and fluency in English and Spanish.
The Applied AI Engineer role partners with engineering organizations to design and deploy AI-powered software development workflows using Codex. Candidates must have a track record of building production systems and proficiency in Python.
The Applied AI Engineer role involves partnering with customers to design and scale AI coding workflows using OpenAI Codex. Candidates must have 5+ years of technical consulting experience and be fluent in Portuguese, Spanish, and English.
The Applied AI Engineer role involves partnering with customers to design and scale AI coding workflows using OpenAI Codex. Candidates must have 5+ years of technical consulting or solutions architecture experience and be power users of AI coding tools.
The Applied AI Engineer role involves leading customer engagements to integrate Codex into engineering workflows, from discovery through implementation and evaluation. Candidates must have 5+ years of experience in software development or related fields and demonstrate the ability to build production-relevant software and evaluate AI-assisted systems.
The Applied AI Engineer role focuses on improving Codex agent performance, reliability, and usefulness for real-world software engineering tasks. Candidates must have experience building LLM-powered products, strong Python skills, and familiarity with model evaluation or prompt design.
The Applied AI Engineer role partners with engineering organizations to design and deploy AI systems that transform software development workflows. Candidates must have a track record of building production AI systems, proficiency in Python, and fluency in Japanese and English.
The Applied AI Engineer, Cyber role partners with customers to deploy OpenAI technologies for cybersecurity use cases. Candidates need 5+ years of customer-facing technical experience and strong cybersecurity domain expertise.
The Applied AI Engineer, Cyber role involves partnering with customers to deploy OpenAI technologies for cybersecurity use cases. Candidates must have 5+ years of customer-facing technical experience and strong cybersecurity domain expertise.
The Applied AI Engineer role involves building secure AI-powered tools and agentic workflows for government cyber missions. Candidates must have 7+ years of cybersecurity experience, an active TS/SCI clearance, and a full-scope polygraph.
The Applied AI Engineer role involves deploying generative AI applications for enterprise customers in São Paulo. Candidates must have 8+ years of technical experience and proficiency in Python, JavaScript, or TypeScript.
The Applied AI Engineer role involves partnering with enterprise customers to design, build, and deploy production-ready AI systems. Candidates must demonstrate hands-on experience in Python, system architecture, and evaluation, with fluency in French and English.
The Applied AI Engineer role involves partnering with enterprise customers to design, build, and deploy production-ready AI systems. Candidates must demonstrate hands-on experience in Python, system architecture, and evaluation, while operating in a hybrid Munich office.
The Applied AI Engineer, Enterprise role partners with organizations to design, build, and deploy production AI systems that deliver measurable business outcomes. Candidates must have a track record of delivering AI or ML systems in enterprise environments and be highly proficient in Python.
The Applied AI Engineer role involves partnering with government agencies to design and implement GenAI solutions using the OpenAI API. Candidates must have 7+ years of technical consulting experience, an active TS/SCI clearance, and expertise in cloud architecture and programming languages like Python.
This role involves delivering GenAI solutions to international public-sector customers in London, focusing on architecture, implementation, and adoption. Candidates must have substantial technical consulting experience with regulated customers and proficiency in Python, Go, or TypeScript.
The Applied AI Engineer role supports strategic partners in building and maintaining plugins for ChatGPT and Codex. Candidates must have 4-6 years of software engineering experience and strong product sense to design, evaluate, and launch production-ready integrations.
The Applied AI Engineer role involves designing and building agent enablement integrations for strategic partners across web applications, APIs, and developer tools. Candidates must have 4-6 years of software engineering experience and strong skills in OAuth/OIDC identity systems, full-stack development, and partner-facing technical leadership.
The Applied AI Engineer role involves partnering with strategic startup customers to build and scale Generative AI applications on the OpenAI API. Candidates must have 5+ years of software or ML engineering experience and proficiency in Python and JavaScript.
The Applied AI Engineer role involves partnering with strategic startup customers to build and scale Generative AI applications on the OpenAI API. Candidates must have 5+ years of software or ML engineering experience, proficiency in Python and JavaScript, and strong AI/LLM best practices.
The Applied AI Engineer role involves partnering with strategic startup customers to build and scale Generative AI applications on the OpenAI API. Candidates must have 5+ years of software or ML engineering experience, proficiency in Python and JavaScript, and fluency in Japanese and English.
The Applied AI Engineer role focuses on Codex for startups, partnering with founders to build workflows and drive adoption. Candidates must have strong software engineering fundamentals, startup experience, and compelling technical communication skills.
The Applied AI Engineer role focuses on Codex for startups, partnering with founders to build workflows and drive adoption. Candidates must have strong software engineering fundamentals, startup experience, and compelling technical communication skills.
The Applied AI Engineer role focuses on Codex for startups, partnering with founders to build workflows and drive adoption. Candidates must have strong software engineering skills, startup experience, and the ability to present technical demos and workshops.
The Applied AI Engineer role involves partnering with Mandarin-speaking startups to build and scale Generative AI applications on the OpenAI API. Candidates must have 5+ years of software or ML engineering experience, proficiency in Python and JavaScript, and strong AI/LLM best practices.
The role involves building production systems for AI-powered go-to-market workflows, focusing on agent behavior, evaluation, and experimentation. Candidates need 4+ years of experience in software, backend, or applied AI, with strong skills in Python, APIs, and data pipelines.
This role leads the development of AI/ML-powered intelligence products for OpenAI's B2B GTM and Technical Success teams. The candidate must build data science foundations, lead a small team, and create next-best-action systems to improve customer adoption and retention.
The role involves identifying machine learning opportunities and building applied data science solutions for personalization and product interventions. Candidates must own the full workflow from problem definition to launch evaluation, using Python, SQL, and production tools.
The Applied Risk Standards Architect leads standards development for applied AI risks, including mental health, youth safety, and privacy. The role requires translating research and policies into measurable standards and representing OpenAI in external standards bodies.
The Art Director role involves developing visual ideas and hands-on art direction for campaigns, research launches, and social content. Candidates must have 8+ years of experience, a strong portfolio, and the ability to prototype quickly across various mediums.
The role involves designing and developing firmware, drivers, and functional models for OpenAI's in-house AI accelerator. Candidates must have 5+ years of embedded software experience and strong programming skills in C/C++ and/or Rust.
This role leads the development of an asset compliance framework for hardware financial assets and capital equipment within OpenAI's Finance department. Candidates must have 8+ years of experience in hardware operations, asset management, or risk controls, with proficiency in ERP systems like SAP or Oracle.
The role involves leading commercial legal strategy for data center development and colocation transactions at OpenAI. Candidates must have 12+ years of legal experience and deep expertise in drafting and negotiating infrastructure agreements.
The Audio Engineer serves as the senior audio authority for high-profile livestreams, broadcast productions, and on-location shoots. The role requires 8+ years of experience in live, broadcast, and studio production, with expertise in designing resilient audio systems and leading audio crews.
This role involves leading commercial execution for priority AWS and OpenAI co-sell opportunities across strategic enterprise accounts. Candidates must have 15+ years of experience in enterprise sales, cloud partnerships, or complex technology go-to-market roles, with a track record of closing large-scale deals.
This role involves identifying and executing strategic B2B partnerships across various segments to integrate OpenAI capabilities with partner technologies. Candidates must have 8+ years of experience in business development or partnerships and the ability to manage initiatives from pilot through launch and scale.
This role involves owning the onboarding, activation, and growth of a B2B partner portfolio across OpenAI's ecosystem programs. The position requires 8+ years of experience in partnerships or business development, along with strong analytical and negotiation skills.
The ANZ B2B Marketing Lead owns OpenAI's B2B marketing strategy and execution across Australia and New Zealand, focusing on enterprise and mid-market opportunities. The role requires 10+ years of experience in B2B marketing, ABM, and integrated demand generation, with strong cross-functional collaboration and local market expertise.
The B2B Marketing Manager for DACH owns the integrated marketing strategy and execution for Germany, Austria, and Switzerland, partnering with Sales and GTM to drive pipeline and revenue. The role requires 12+ years of experience in B2B marketing, fluency in German and English, and the ability to manage complex enterprise sales cycles.
The Backend Engineer role involves designing and building scalable, secure backend systems, APIs, and infrastructure for consumer devices. Candidates must have 7+ years of experience, proficiency in Python and Go, and strong system design skills.
The role involves designing and building backend systems for AI-native financial workflows, including data ingestion, retrieval, and enterprise integrations. Candidates must have 5+ years of experience building production backend systems and proficiency in languages such as Python, Go, Rust, or TypeScript.
The role involves designing and implementing safe backend services and infrastructure for OpenAI's core products. Candidates must have strong experience with distributed systems, APIs, and backend languages such as Go, Python, Rust, or C++.
The role involves designing and operating large-scale backend systems for ChatGPT's image generation and editing features. Candidates must have experience building distributed systems, APIs, and cloud-native architectures to support multimodal AI workflows.
This role involves developing customer-facing ChatGPT and OpenAI API features for public sector customers in on-premises and cloud environments. Candidates must have 9+ years of engineering experience and proficiency in JavaScript, React, and Python.
The role involves building backend infrastructure for AI agents, including durable runtimes, workflow orchestration, and context memory systems. Candidates must have 6+ years of software engineering experience in applied AI or user-facing systems.
The role involves developing and coordinating multidisciplinary BIM models for large-scale industrial and mission-critical facilities. Candidates must have a bachelor's degree and at least three years of experience in BIM modeling, coordination, or design technology.
The role involves leading OpenAI's global life sciences partnership strategy across pharmaceutical, biotechnology, and research organizations. Candidates must have 12+ years of experience in strategic partnerships or business development within life sciences and technology.
The Business Lead serves as the operating leader for a major partnership initiative, combining strategy, operations, and commercial execution. The role requires substantial experience in strategy, operations, and general management, along with strong analytical and relationship leadership skills.
The Business Recruiter role focuses on end-to-end hiring for technical business roles in the APAC region, primarily within the B2B and go-to-market organization. Candidates must have 7+ years of full-cycle recruiting experience and strong stakeholder management skills to partner with senior leaders on talent strategy.
This role involves designing and building integrations and first-party applications for OpenAI's procurement workflows using Oracle Fusion and Zip. Candidates must have 6+ years of experience in enterprise integrations and be proficient in Python or TypeScript.
The role involves owning low-level camera enablement on custom hardware, including sensor bring-up and driver development. Candidates need deep embedded camera experience and strong C/C++ skills for Linux-based systems.
The Capacity Systems Software Engineer role involves building software platforms and backend services for OpenAI's Industrial Compute planning and operations. Candidates must have 5+ years of experience in software or platform engineering and strong skills in system design and distributed systems.
The Capture Manager role involves identifying and driving government sales opportunities from pipeline generation to closure. Candidates must have 10+ years of experience selling IT services to governments and hold an active U.S. Government TS/SCI clearance.
This role involves optimizing the performance, reliability, and efficiency of mission-critical systems like ChatGPT and the OpenAI API. Candidates must have 7+ years of software engineering experience and deep expertise in profiling, instrumentation, and high-scale distributed systems.
This role focuses on driving new and expanded advertising revenue by owning the full sales cycle from prospecting to deal closure. Candidates must have 10+ years of experience in performance marketing or client-facing strategy and 3+ years influencing executives.
This role involves driving new and expanded advertising revenue for Spanish-speaking advertisers in Dublin. Candidates must own the full sales cycle, negotiate complex agreements, and build long-term commercial partnerships.
This role focuses on growing advertising revenue in the Financial Services vertical by owning the full sales cycle and building strategic relationships with senior decision-makers. Candidates must have 10+ years of experience in digital advertising or enterprise sales and 3+ years advising senior executives.
This role focuses on growing advertising revenue across the Travel vertical by owning the full sales cycle and building strategic relationships with senior decision-makers. Candidates must have 10+ years of experience in digital advertising or enterprise sales and 3+ years advising senior executives.
The Client Platform Engineer role involves building and operating secure Linux endpoint management systems and agentic workflows to automate fleet operations. Candidates must have deep experience securing Linux fleets at scale, strong software engineering skills, and proficiency in Python, Go, or another modern programming language.
The role oversees quality assurance, quality control, and commissioning for a global hyperscale data center program. It requires 10+ years of experience managing quality systems and deep technical knowledge of construction and MEP standards.
The Commissioning Project Lead owns the commissioning strategy and execution for a large-scale, self-build data center project. The role requires 10+ years of experience in commissioning or construction, with strong skills in coordinating multidisciplinary testing and turnover.
This role is a senior communications leader responsible for shaping OpenAI's global cybersecurity narrative and leading communications for major milestones. The position requires 12+ years of experience in cybersecurity or a highly technical field, along with strong press instincts and technical fluency.
This role involves building compensation programs for OpenAI's go-to-market organization and serving as an advisor to GTM leaders. Candidates need 6+ years of compensation experience with strong expertise in sales compensation and GTM benchmarking.
The Compensation Operations Analyst role involves building and running systems, tools, and processes for compensation at OpenAI. The position requires configuring HRIS modules, managing compensation tools, and maintaining data quality to ensure accurate and scalable compensation cycles.
This role leads end-to-end program management for global compensation programs, including reviews, bonuses, and equity cycles. Candidates must have 10+ years of compensation experience and strong analytical skills with systems like Workday.
The Regulatory Compliance Program Manager builds and operates compliance programs for AI safety, security, and content moderation, focusing on regulations like the EU AI Act and DSA. The role requires translating requirements into processes, maintaining evidence, and leading external assessments with cross-functional teams.
This role owns end-to-end quality for high-speed interconnect hardware across the product lifecycle, including design influence, supplier readiness, and fleet quality. Candidates must have 7+ years of experience in quality engineering for interconnects and strong command of problem-solving tools like 8D and SPC.
The role involves developing AI inference compute systems for OpenAI's humanoid robots, combining compute architecture, high-speed digital design, and power electronics. Candidates must have 5+ years of experience in compute hardware and strong hands-on skills in board bring-up, debugging, and HDI PCB development.
The Critical Facilities Manager leads day-to-day operations for mission-critical AI data center infrastructure, overseeing electrical, mechanical, and controls systems. The role requires 8+ years of experience in data center operations, commissioning, and facility management, with strong technical and leadership skills.
The role involves designing and implementing wireless connectivity features for Bluetooth, BLE, and Wi-Fi across OpenAI's consumer devices. Candidates must have deep experience shipping wireless features on Linux-based products and proficiency in C/C++ with systems debugging.
This role involves building a safety operating model for new consumer hardware, including incident taxonomies, playbooks, and launch readiness plans. The position requires 8+ years of experience in device safety or product operations and strong technical fluency in data flows and case management.
The role involves developing and executing Japan-specific consumer marketing plans to drive user growth and retention. Candidates must have 7+ years of marketing experience and deep knowledge of the Japanese consumer landscape.
This role leads communications strategy, launches, and campaigns for ChatGPT and OpenAI's consumer-facing products. The position requires strong editorial judgment, management skills, and experience leading communications for consumer technology products.
The Content Designer role focuses on building prompts, evaluations, and tools to improve ChatGPT content and messaging at scale. Candidates must have 5+ years of experience in content design or engineering, with hands-on skills in prompt development, evaluation frameworks, and code-based workflows.
The Content Studio Creative Lead builds and leads a centralized content studio serving the broader creative team. The role requires 10+ years of experience in scaling content or production capabilities and strong editorial judgment across multiple formats.
The Robotics Control Systems Engineer designs and implements real-time control algorithms for robotic systems, including motion control and state estimation. The role requires hands-on experience with robotic hardware, C++ or Rust, and strong fundamentals in classical control and system dynamics.
This role is a senior operations leader position responsible for owning the integrated operating model for OpenAI's Community & Culture team. The candidate must have 10+ years of experience in operations and a track record of managing budgets, governance, and workforce planning.
The role is a commercial attorney position based in San Francisco, CA, focused on leading legal support for OpenAI's business transactions and partnerships. Candidates must have 7+ years of experience in in-house or technology law firm roles and strong skills in drafting and negotiating complex commercial contracts.
The role is an employment lawyer position based in San Francisco, focused on building legal foundations for OpenAI's growth. Candidates must have 7+ years of relevant experience, a JD, and California licensure to practice law.
The Japan Creative Lead directs OpenAI's brand vision and execution in Tokyo, translating global ideas into culturally resonant work for local audiences. The role requires strong conceptual and visual skills, deep cultural fluency in Japan, and experience leading brand work within a global organization.
The Critical Facilities Lead supports the commissioning, deployment, and long-term operation of next-generation AI data centers. The role requires 10+ years of experience in large-scale data center facility operations and deep familiarity with liquid-cooled IT systems.
This role involves leading community communications for OpenAI's Product & Research team to shape narratives and amplify community-driven stories. Candidates must have strong editorial skills, cultural instincts, and experience leading communications for consumer brands or cultural campaigns.
This role involves owning and improving government support systems, including Salesforce Service Cloud and related integrations. The engineer must have prior experience in government environments and deep Salesforce Service Cloud expertise to build reliable workflows and automate operations.
The Customer Success Manager supports advertisers in onboarding and growing on OpenAI's advertising platform by managing partner relationships and providing strategic advice. The role requires 5-10+ years of experience in digital advertising or customer success, along with strong data analysis and communication skills.
The Customer Success Manager supports advertisers in onboarding and growing on OpenAI's advertising platform by managing partner relationships and providing strategic advice. The role requires 5-10+ years of experience in digital advertising or customer success, along with Spanish fluency and data analysis skills.
The Customer Success Manager role supports advertisers in onboarding, launching, and growing on OpenAI's advertising platform. Candidates must have 5-10+ years of experience in digital advertising or account management and be proficient in data querying.
The Customer Success Manager role supports advertisers in onboarding, launching, and growing on OpenAI's advertising platform. Candidates need 5-10+ years of experience in digital advertising or account management, along with skills in data analysis and cross-functional partnership.
The Customer Success Manager role supports advertisers in onboarding, launching, and growing on OpenAI's advertising platform. Candidates need 5-10+ years of experience in digital advertising or account management, along with skills in data analysis and cross-functional partnership.
The Cyber Enablement Lead owns Daybreak's government enablement strategy, designing and delivering training for U.S. and international cyber leaders. The role requires deep cybersecurity expertise, technical credibility, and the ability to translate frontier AI capabilities into practical government workflows.
This role leads Cyber Operations within Critical Harm Operations, focusing on building enforcement systems for severe user-safety risks. The position requires a senior cybersecurity practitioner with 8+ years of experience, 4+ years of team leadership, and strong analytical and automation skills to manage operations and develop people.
The role is a senior IC position for a Cyber Operations Strategist to improve the quality and scalability of Cyber Operations. Candidates must have 8+ years of hands-on cybersecurity experience and the ability to design operating systems and SOPs.
This role involves building and scaling OpenAI's global compute infrastructure to support frontier AI models. Candidates must have experience operating complex technical systems and strong technical judgment.
The Data Center Controls Network Engineer designs and scales OT network architectures for high-density AI data centers. The role requires 8+ years of experience in controls engineering, industrial automation, and OT networking, with expertise in routing, switching, and segmentation.
The Data Center Design Manager coordinates multidisciplinary design and delivery for large-scale AI infrastructure. The role requires a bachelor's degree in engineering or architecture and experience managing complex data center design packages.
The role involves developing and validating next-generation power architectures for high-density AI data centers, focusing on research, advanced design, and technical validation. Candidates require 10+ years of experience in electrical engineering or power-system design, with deep expertise in medium- and low-voltage systems and power-system modeling.
The role involves developing and optimizing physical infrastructure for large-scale AI deployments, including power, cooling, and controls. Candidates must have significant experience with hyperscale data centers and digital-twin modeling to improve efficiency and reliability.
The role involves defining and scaling electrical power systems for high-density AI data centers, including rack-power architectures and facility infrastructure. Candidates require 10+ years of experience in mission-critical power systems, electrical engineering, and data center operations.
The Data Engineer role involves designing and managing data pipelines and canonical datasets for OpenAI's data warehouse. Candidates must have 3+ years of data engineering experience and proficiency in languages like Python, Scala, or Java.
The Data Engineer role involves designing and managing data pipelines and canonical datasets for OpenAI's experimentation platform. Candidates must have 3+ years of data engineering experience and proficiency in languages like Python, Scala, or Java.
The Data Engineer role involves designing and building scalable data infrastructure for OpenAI's hardware and consumer devices. Candidates must have strong fundamentals in data architecture, distributed systems, and production-grade pipelines.
This role leads the Growth & Revenue data engineering team at OpenAI, owning data strategy for growth, billing, and revenue systems. Candidates must have deep experience leading data engineering teams and strong technical judgment in modern data systems.
The Data Program Manager role involves partnering with research, operations, and engineering teams to execute complex programs for collecting high-quality data. The position requires managing external vendors and AI trainers, gathering requirements, and using internal tooling to assess labeled data.
This role involves developing and executing scientific data programs for OpenAI's Research Data team, focusing on biology and chemistry. Candidates must connect research priorities with data sources, manage partnerships, and lead commercial execution while exercising sound judgement on sensitive data.
The Data Scientist for Ads Demand role builds measurement and insight foundations to understand demand health and advertiser value across OpenAI's ads marketplace. Candidates must have 7+ years of experience in data science or analytics within an ads platform, marketplace, or performance-oriented B2B business, with strong SQL and Python or R skills.
The role involves leading measurement, experimentation, and decision science for B2B marketing demand generation. Candidates must have 10+ years of quantitative experience and deep expertise in causal inference and applied statistics.
This role involves building OpenAI's B2B data science capability to answer commercial questions and support go-to-market decisions. Candidates need senior-level quantitative experience, strong business judgment, and technical fluency in SQL and Python.
The Data Scientist role focuses on analyzing cloud provider usage to identify growth opportunities and build consumption forecasts for OpenAI. Candidates must independently lead data science work on commercial questions and possess strong SQL and Python skills.
This Staff-level Data Scientist role leads the evolution of OpenAI's core experimentation platform, focusing on statistical rigor and reliability. The position requires deep expertise in statistics, causal inference, and online experimentation, along with strong Python and systems skills.
This role involves defining metrics and evaluation frameworks for AI-agent security and improving internal security controls. Candidates must have 5+ years of experience in data science or analytics, with strong proficiency in SQL and Python.
This role involves driving measurement, experimentation, and optimization for OpenAI's monetization infrastructure, including checkout, payments, and pricing. The position requires 10+ years of experience in data science, advanced SQL and Python skills, and expertise in experimentation and causal inference.
The Data Scientist role focuses on building and evaluating mitigation systems to prevent extreme harms from frontier AI models. Candidates must have significant experience in high-stakes data science, strong analytical skills, and the ability to communicate findings to executive stakeholders.
The role involves owning end-to-end data science problems for Real Estate & Workplace, including forecasting, experimentation, and optimization. Candidates must be fluent in SQL and Python, with strong grounding in applied statistics and causal inference.
This role involves building analytical foundations for AI safety by measuring harmful behavior, detecting fraud, and evaluating safety classifiers. Candidates need strong statistical reasoning, SQL, and Python skills to solve ambiguous problems in high-leverage environments.
The role is a Lead Data Scientist for SMB Ads Growth at OpenAI, responsible for architecting analytics, targeting, and forecasting. Candidates require 5+ years of experience in data science or growth analytics within an ads platform or high-growth B2B environment.
The role involves leading physical network infrastructure deployment at a large datacenter campus, focusing on fiber testing, cabling, and equipment turn-up. Candidates must have 7+ years of experience in large-scale datacenter network deployment and structured cabling.
The Deal Lead role involves developing and executing high-value commercial opportunities for OpenAI's Special Situations team. Candidates must have significant experience in business development or partnerships, with strong commercial judgment and the ability to structure complex deals.
This role supports revenue growth in APAC by structuring and closing deals for sales teams. It requires 8+ years of experience in Deal Desk or commercial finance, along with strong financial modeling and stakeholder management skills.
This role supports revenue growth in EMEA by structuring and closing deals while maintaining pricing discipline and financial controls. The position requires 8+ years of experience in Deal Desk or commercial finance, along with strong financial modeling and stakeholder management skills.
This role involves troubleshooting complex technical issues for Premium Support customers and providing end-to-end ownership of high-impact incidents. Candidates must have expert-level troubleshooting skills and experience with APIs, distributed systems, and cloud infrastructure.
This role involves troubleshooting complex technical issues for Premium Support customers and providing end-to-end ownership of high-impact incidents. Candidates must have expert-level troubleshooting skills and experience with APIs, distributed systems, and cloud infrastructure.
This role involves troubleshooting complex technical issues for Premium Support customers and providing end-to-end ownership of high-impact incidents. Candidates must have expert-level troubleshooting skills and experience with APIs, distributed systems, and cloud infrastructure.
This role involves troubleshooting complex technical issues for Premium Support customers and providing end-to-end ownership of high-impact incidents. Candidates must have expert-level troubleshooting skills and experience with APIs, distributed systems, and cloud infrastructure.
This role involves troubleshooting complex technical issues for Premium Support customers and providing end-to-end ownership of high-impact incidents. Candidates must be fluent in both Japanese and English and possess expert-level troubleshooting skills across APIs and distributed systems.
This role involves troubleshooting complex technical issues for Premium Support customers and providing end-to-end ownership of high-impact incidents. Candidates must have expert-level troubleshooting skills and experience with APIs, distributed systems, and cloud infrastructure.
This role leads the global Dedicated Support Engineering function, defining strategy and building a team to provide proactive, technically rigorous support for complex enterprise customers. Candidates must have 12+ years of technical customer-facing experience, including 6+ years leading enterprise support or technical account management, with strong production troubleshooting and reliability skills.
This role involves owning end-to-end demo readiness for new product capabilities and building agentic prototypes and reusable infrastructure. The engineer must have strong depth in software architectures, integrations, and LLM agents to create reliable, safe, and scalable customer-facing experiences.
This role is a founding Deployment Lead for OpenAI's Forward Deployed Engineering team in Singapore, responsible for defining and executing complex customer system deliveries. The position requires 7+ years of customer-facing technical delivery leadership, experience shipping AI/LLM systems, and the ability to manage high-stakes engagements with high autonomy.
The Deployment Lead role owns end-to-end technical delivery for complex customer systems within OpenAI's Forward Deployed Engineering team. Candidates must have 7+ years of customer-facing technical delivery leadership and experience shipping AI/LLM systems.
The Deployment Lead, FDE role involves defining how OpenAI delivers complex systems to customers by owning technical delivery plans and execution. Success requires 7+ years of customer-facing technical delivery leadership and experience shipping AI/LLM systems.
The Deployment Lead role owns end-to-end technical delivery for OpenAI's Forward Deployed Engineering team, translating business outcomes into technical plans and managing execution across FDEs and customer teams. Success requires 7+ years of customer-facing technical delivery leadership, strong technical fluency, and experience shipping AI/LLM systems.
The role involves leading the development and deployment of repeatable platform solutions for customer use cases. Candidates must have 5+ years of product leadership or customer-facing technical delivery experience and the ability to navigate ambiguity.
The Deployment Lead, Life Sciences role owns end-to-end technical delivery and adoption of AI systems for pharmaceutical and clinical customers. Success requires 7+ years of customer-facing technical delivery leadership, strong technical fluency, and experience shipping AI/LLM systems.
The Deployment Lead role focuses on delivering complex AI systems to semiconductor customers by scoping, building, and shipping solutions for RTL design and verification. Success requires 7+ years of customer-facing technical delivery leadership and deep expertise in semiconductor workflows.
The role involves developing and integrating power-generation systems for large-scale AI infrastructure campuses, translating load requirements into generation architectures. Candidates must have 8+ years of experience in power generation or industrial power systems, with a bachelor's degree in electrical or mechanical engineering.
The role involves verifying functional correctness for custom AI silicon, ranging from IP blocks to full SoC. Candidates must have 3+ years of hardware verification experience and proficiency in SystemVerilog and UVM.
The Designer role involves creating high-quality work for consumer campaigns and brand identity at OpenAI. Candidates must demonstrate strong visual craft, typography, and proficiency in Figma or Adobe Creative Suite.
The Developer Experience Engineer, Cyber role involves creating technical content, developer tools, and sample applications to help developers secure software using OpenAI's cybersecurity capabilities. Candidates must have strong engineering fundamentals, experience with AI models or APIs, and a background in application security or secure development workflows.
This role involves building a safety operating model for new consumer hardware, including incident taxonomies, playbooks, and launch readiness plans. The position requires 8+ years of experience in device safety or product operations and strong technical fluency in data flows and automation.
This role leads a 10-person team managing a diverse portfolio of flagship conferences, developer programs, and executive gatherings. The Director reports to the Global Head of Events and requires 14+ years of experience in event management and people leadership.
The Early Access Deployment Engineer leads technical engagements with customers testing frontier capabilities during early alpha stages. The role requires hands-on prototyping, evaluation design, and end-to-end program execution to translate ambiguous technology into real-world value.
The Education Content Marketing Lead creates high-quality content and scalable systems for students, educators, and institutions. The role requires strong editorial judgment, content-marketing instincts, and experience building content operating systems and digital channels.
The Electrical Commissioning Lead owns electrical commissioning planning, readiness, quality coordination, and test execution oversight for the project. The role requires 8+ years of experience in electrical commissioning or field engineering, along with strong knowledge of electrical distribution, backup power, and safe energization workflows.
The role is a senior individual-contributor position for an Electrical Engineer leading PCBA test infrastructure for robotic systems. Candidates must independently design, validate, and deploy test stations, partnering with cross-functional teams to ensure reliable operation from lab to contract manufacturers.
The role involves developing next-generation robotic systems by owning electrical architecture, circuit design, and PCB layout from concept through deployment. Candidates must have 6+ years of experience in tightly integrated electromechanical products and strong engineering judgment for ambiguous hardware challenges.
This role involves developing employer brand content and campaigns to communicate OpenAI's mission and culture to talent audiences. The position requires 10+ years of experience in communications or marketing, strong writing skills, and the ability to manage cross-functional content projects.
This role is a specialist post-sales enablement position based in Tokyo, focused on designing and delivering technical training for OpenAI products like ChatGPT Enterprise and Codex. Candidates must have 4+ years of experience in customer-facing or instructional roles, strong technical depth in coding and APIs, and the ability to lead live trainings for executive and technical audiences.
The Enablement Lead, Government role focuses on delivering high-impact enablement and adoption services for OpenAI products across government organizations. Candidates must have 6+ years of experience in customer-facing enablement or transformation roles and strong presentation and facilitation skills.
This role is a specialist post-sales enablement position focused on delivering high-impact training and adoption services for OpenAI products like ChatGPT Enterprise and Agents. Candidates must have 6+ years of experience in customer-facing enablement or instructional roles, with strong product fluency and the ability to lead workshops for diverse enterprise audiences.
This role is a specialist post-sales enablement position focused on delivering high-impact training and adoption services for OpenAI products like ChatGPT Enterprise and Agents. Candidates must have 6+ years of experience in customer-facing enablement or instructional roles, with strong product fluency and the ability to lead workshops for diverse enterprise audiences.
This role leads the ChatGPT Search Infrastructure team, which builds foundational systems connecting models with search and real-time information sources. The manager must define technical strategy for search orchestration, serving, and experimentation while building platforms that enable independent product development.
This role leads the product engineering team for ChatGPT Space, focusing on building shared workspaces for teams and agents. The manager must guide full-stack systems, model integration, and collaboration features while developing engineers and shaping the product roadmap.
This role leads the Client Platform Engineering team to build secure, reliable cross-platform client foundations for macOS, Windows, iOS, Android, and Linux. Candidates must have strong people leadership, technical judgment, and experience managing secure, mission-critical infrastructure at scale.
This role involves leading a small team to build AI-powered automation systems for internal operations at OpenAI. Candidates must have 12+ years of engineering experience, including 3+ years in management and 7+ years as an IC, with strong technical judgment across the full stack.
This role involves leading a small team to build AI-powered automation systems for internal operations at OpenAI. Candidates must have 12+ years of engineering experience, including 3+ years in management and 7+ years as an individual contributor.
This role leads the Statsig product engineering organization at OpenAI, focusing on experimentation, feature rollout, and analytics systems. The candidate must define multi-year strategy, build leadership structures, and integrate the platform across company-wide product teams.
This role leads teams building mission-critical distributed systems and production platforms for OpenAI. Candidates must have significant experience managing infrastructure engineers and operating large-scale, reliable systems.
This role leads a team building production systems to detect and prevent harmful misuse of frontier AI models. Candidates must have significant experience leading engineering teams and strong technical judgment in system design and distributed systems.
The Engineering Manager leads the Guardian team in London, owning strategy and execution for production systems that evaluate agent behavior and identify risk. The role requires significant experience leading engineering teams that shipped complex, high-stakes production systems and building with AI agents or large language models.
This role leads a team building OpenAI's core identity and authentication systems, focusing on high reliability, security, and low latency. Candidates must have 10+ years of distributed systems experience and 3+ years managing high-performance engineering teams.
This role involves designing and deploying advanced machine learning models for content and user understanding within OpenAI's Integrity team. Candidates must have a Master's or PhD in a related field, experience with deep learning and transformers, and proficiency in PyTorch or TensorFlow.
This role leads the multimodal API product suite, focusing on real-time interactions and image generation. The manager will own the product roadmap and build products for AI audio, video, and images.
This role leads a team building software systems to detect and prevent harmful misuse of frontier AI models. Candidates must have significant experience leading engineering teams and strong technical judgment in system design and distributed systems.
The role supports the assembly, testing, and prototyping of custom electromechanical actuators for robotic systems. Candidates must build hardware from engineering drawings and collaborate with engineers to troubleshoot and validate designs.
This role is a launchpad for future sellers at OpenAI, focusing on identifying and advancing complex enterprise opportunities in regulated industries. Candidates must have 4-6+ years of professional experience, including 2-3 years in a full 360 sales closing role, and fluency in English and German.
The Enterprise Field Marketer role involves owning field marketing programs to create pipeline and deepen relationships with priority enterprise accounts. Candidates must have 8+ years of experience in enterprise field marketing, ABM, or sales enablement, with strong commercial judgment and the ability to execute high-impact customer programs.
The Enterprise Security Engineer role focuses on vulnerability management, novel vulnerabilities, and zero-day response across networks, endpoints, and SaaS. Candidates must investigate security weaknesses, prioritize exposure, and drive remediation through verified outcomes.
The role involves building and running OpenAI's trade compliance program across Europe, managing cross-border shipping, customs, and import/export operations. Candidates must have deep European customs expertise and experience building trade programs from the ground up.
The Events Manager supports the planning and execution of high-touch creator, press, and executive-facing events at OpenAI. The role requires 7+ years of event production experience, strong vendor coordination, and detailed budget management.
The Events Manager plans and delivers OpenAI's B2B events, including conferences and executive gatherings. The role requires 7+ years of event experience and strong coordination of vendors, logistics, and guest experiences.
The role involves building and leading the Americas portfolio for executive engagement programs, including briefings and forums. Candidates must have 10+ years of experience leading executive programs and a high-performing team.
The Experiential Producer role involves producing global launches, demos, and custom installations to introduce OpenAI's products to diverse audiences. Candidates must have 8+ years of experience in experiential production, booth builds, and managing agencies and vendors.
This role manages key U.S. Defense and Intelligence Community accounts, driving opportunities through the defense sales cycle and owning national security revenue targets. Candidates require 10+ years selling commercial technology to the National Security Community and a Top Secret clearance.
The Field Engineer role involves maintaining robotic workcells in a live operational environment for data acquisition. Candidates must diagnose hardware and software failures and build tools to support fleet reliability.
The role is a senior field service engineer position responsible for building a technical operating model for critical electrical and mechanical infrastructure across OpenAI's data center portfolio. Candidates must have 8+ years of hands-on experience in data center or industrial infrastructure, with deep expertise in either electrical or mechanical systems and the ability to travel 50%.
The Financial Systems Engineer designs and operates Oracle Fusion Cloud financial systems and integrations to support accounting processes. The role requires 10+ years of experience in financial systems engineering and 8+ years with Oracle Fusion Financials.
The Fire Protection Engineer leads owner-side fire and life-safety engineering for large-scale data center programs. The role requires 8+ years of experience, a bachelor's degree in Fire Protection Engineering or related field, and strong knowledge of IBC, IFC, and NFPA standards.
The role involves designing, implementing, and debugging embedded software for consumer devices, with a focus on low-level bring-up and production C/C++ code. Candidates need deep embedded expertise, strong debugging skills, and proficiency in C and C++.
This role involves leading complex deployments of frontier models in production for AI infrastructure and semiconductor optimization. Candidates must have 5+ years of engineering experience, write production-grade software, and design reproducible experiments to validate performance.
The Forward Deployed Engineer leads end-to-end deployments of frontier models in production for strategic customers. The role requires 5+ years of engineering experience, production-grade coding skills, and the ability to scope and deliver complex systems.
The Forward Deployed Engineer leads end-to-end deployments of frontier models in production for strategic customers. The role requires 5+ years of engineering experience, full-stack coding skills, and the ability to scope and deliver complex systems.
The role involves leading end-to-end deployments of OpenAI models for financial services clients, focusing on production-grade AI systems with high correctness and auditability. Candidates must have 5+ years of software or ML engineering experience and strong skills in Python, JavaScript, and LLM deployment.
The role involves owning end-to-end AI deployments for healthcare organizations, including architecture, implementation, and productionization. Candidates must have 6+ years of software or ML engineering experience and healthcare domain knowledge.
The role involves owning end-to-end AI deployments for healthcare organizations, including architecture, implementation, and productionization. Candidates must have 6+ years of software or ML engineering experience and healthcare domain knowledge.
The role involves owning end-to-end AI deployments for healthcare organizations, including architecture, implementation, and productionization. Candidates must have 6+ years of engineering experience and hands-on knowledge of healthcare systems like EHRs and interoperability standards.
The role involves building and deploying AI systems for legal work by embedding with customers to identify use cases and prove value. Candidates must have 5+ years of software or ML engineering experience and be proficient in Python or JavaScript.
The role involves building and deploying AI systems for legal work by embedding with customers to identify use cases and prove value. Candidates must have 5+ years of software or ML engineering experience and be proficient in Python or JavaScript.
The Forward Deployed Engineer role involves leading end-to-end deployments of frontier models in production for strategic customers. Candidates must have 5+ years of engineering experience and write production-grade code using Python or JavaScript.
The Forward Deployed Engineer role involves leading end-to-end deployments of frontier models in production for strategic customers. Candidates must have 6+ years of engineering experience, professional fluency in Spanish and English, and the ability to build full-stack systems using Python or JavaScript.
The Forward Deployed Engineer role involves leading end-to-end deployments of frontier models in production for strategic customers. Candidates must have 6+ years of engineering experience, professional fluency in Spanish and English, and the ability to build full-stack systems using Python or JavaScript.
The Forward Deployed Engineer role involves leading end-to-end deployments of frontier models in production for strategic customers. Candidates must have 5+ years of engineering experience and the ability to build full-stack systems using Python or JavaScript.
The Forward Deployed Engineer role involves leading end-to-end deployments of frontier models in production for strategic customers. Candidates must have 5+ years of engineering experience and the ability to build full-stack systems using Python or JavaScript.
The Forward Deployed Engineer role involves leading end-to-end deployments of frontier models in production for strategic customers. Candidates must have 5+ years of engineering experience and build full-stack systems using Python or JavaScript.
The Forward Deployed Engineer role involves leading end-to-end deployments of frontier models in production for strategic customers. Candidates must have 5+ years of engineering experience and build full-stack systems using Python or JavaScript.
The Forward Deployed Engineer role involves leading end-to-end deployments of frontier models in production for strategic customers. Candidates must have 5+ years of engineering experience and build full-stack systems using Python or JavaScript.
The Forward Deployed Engineer role involves leading end-to-end deployments of frontier models in production for strategic customers. Candidates must have 5+ years of engineering experience, be bilingual in Japanese and English, and build full-stack systems using Python or JavaScript.
The Forward Deployed Engineer role involves leading complex deployments of frontier models in production while embedding with customers in Abu Dhabi. Candidates must have 5+ years of engineering experience and build full-stack systems using Python or JavaScript.
The Forward Deployed Engineer role involves leading end-to-end deployments of frontier models in production for strategic customers. Candidates must have 5+ years of engineering experience and write production-grade code using Python or JavaScript.
The Forward Deployed Security Engineer role involves securing novel applications for strategic public sector customers by embedding with engineering teams. Candidates must have 5+ years of security engineering experience, an active US security clearance, and proficiency in infrastructure and network security.
The role involves designing and implementing scalable full-stack solutions for customers using OpenAI APIs. Candidates must have 7+ years of professional full-stack engineering experience and customer-facing experience.
The role involves designing and implementing scalable full-stack solutions for customers using OpenAI APIs. Candidates need 7+ years of professional full-stack engineering experience and customer-facing experience.
The role involves designing and implementing scalable full-stack solutions for customers using OpenAI APIs. Candidates need 7+ years of professional full-stack engineering experience and customer-facing experience.
This role involves leading complex deployments of frontier AI models for government customers in Washington DC, Seattle, or San Francisco. Candidates must have 5+ years of engineering experience, a TS/SCI clearance, and proficiency in Python or JavaScript to build full-stack solutions.
This role involves building and scaling AI-powered products for the legal industry as a founding member of the Legal engineering team. Candidates must have 6+ years of experience and strong full-stack engineering skills to design user experiences and backend systems.
The role involves building full-stack AI products for mechanical and electrical engineering workflows within OpenAI's Physical Engineering team. Candidates must have strong software engineering fundamentals, product judgment, and experience with CAD, CAE, or simulation software.
The role involves building high-performance UI for the ChatGPT Space collaboration platform and partnering with design to create polished interaction models. Candidates must have strong experience with React and TypeScript, along with a high bar for UI craft and performance.
The role involves building and shipping high-performance UI for the Codex desktop app and IDE extension. Candidates must have strong experience with React and TypeScript, along with a focus on frontend architecture and design engineering.
The role involves building full stack features for ChatGPT Enterprise Expansions, focusing on agentic activation and work discovery. Candidates must have strong frontend skills, product instincts, and 7+ years of experience shipping user-facing products.
The role involves designing and developing full-stack web applications to manage and monitor large-scale AI workloads on supercomputing clusters. Candidates need significant experience in full-stack development, modern frontend frameworks, and backend technologies to build scalable, high-performance systems.
The role involves building AI-native financial services products on ChatGPT Work and Codex, focusing on zero-to-one development and enterprise integrations. Candidates need 5+ years of full-stack experience with TypeScript, React, and backend services to ship production software.
The role involves designing protocols for an open agent ecosystem and building user experiences to control agents across web, desktop, and mobile. Candidates must have strong full-stack engineering skills and experience shipping customer-facing products from concept to production.
The role involves building full-stack features for ChatGPT Finances, including frontend interfaces, APIs, and backend services for financial data. Engineers must own features from prototype to production while collaborating across product, design, and infrastructure teams.
The role involves owning end-to-end product experiences for image generation and editing within ChatGPT. Candidates must build scalable frontend and backend systems using modern web technologies.
The role involves building end-to-end AI-powered software development workflows and developer-facing tools. Candidates must have strong software engineering fundamentals and experience with TypeScript, Rust, or similar languages.
The role involves building full-stack products for AI-powered cybersecurity, including workflows for vulnerability discovery and remediation. Candidates must have experience shipping production full-stack products and designing APIs and data models.
The role involves building and shipping full-stack product experiences for OpenAI's education offerings, from early concepting through production launch. Candidates must have 5+ years of engineering experience and proficiency in TypeScript, React, and backend languages.
The role is a fullstack engineer position on the ChatGPT Growth team focused on amplifying user base and subscriber growth. Main requirements include experience shipping web features, designing A/B tests, and planning backend APIs.
The role involves building shared pricing, packaging, and entitlement systems for OpenAI's Monetization Platform. Candidates must have strong backend and systems depth, along with full-stack product instincts to define architecture and deliver production-ready features.
The role involves building full stack product experiences to turn new model capabilities into user-facing features. Candidates must independently identify opportunities, prototype quickly, and validate ideas in an ambiguous environment.
The role involves building full-stack web applications and integrations for OpenAI's go-to-market teams. Candidates need 5+ years of software engineering experience and strong architecture skills.
This role involves architecting and building end-to-end purchasing experiences and monetization capabilities for OpenAI products. Candidates must have Staff-level technical ownership, strong full-stack web and API experience, and the ability to lead initiatives from exploration through launch.
The role involves building end-to-end product experiences and multimodal capabilities for ChatGPT's learning features. Engineers must work across the full stack, collaborating with researchers to ship AI-powered learning tools.
The role involves designing and implementing safe full-stack services and infrastructure for OpenAI's core products. Candidates must have experience building end-to-end applications and collaborating on architectural planning.
This role involves building data-intensive, AI-powered applications and infrastructure for child safety systems. Candidates must have 7+ years of software engineering experience and proficiency in Python or TypeScript.
This role involves building data-intensive, AI-powered applications and infrastructure for child safety systems. Candidates must have 7+ years of software engineering experience and proficiency in Python or TypeScript.
The role involves building intelligence systems and investigative tools to monitor AI risks and support expert analysis. Candidates must have strong technical and analytical skills, with experience in Python, SQL, and production software development.
The Global Candidate Experience Manager leads CE managers and Interview Programs managers to ensure excellence in candidate interactions and interview logistics. The role requires strong operations leadership, program management, and practical AI workflow experience to manage high-volume and bespoke hiring globally.
The role leads global education GTM strategy, partnerships, and sales for OpenAI's higher education and K-12 segments. Candidates must have experience leading complex enterprise technology sales teams and managing cross-functional stakeholders.
The GPT Infrastructure Lead drives end-to-end conversion of industrial-scale infrastructure investments into usable token capacity for OpenAI workloads. The role requires strong systems thinking, elite program leadership, and the ability to coordinate across data center delivery, power, networking, and hardware deployment.
The GRC Program Manager leads external, internal, and certification audits while building a reusable common control framework. The role requires technical fluency in cloud systems and the ability to use Codex to automate assurance work and improve control evidence systems.
This role involves scaling OpenAI's GRC function to ensure product compliance at launch and detect regressions. The position requires strong technical product lifecycle assurance experience and the ability to build technical controls and CI/CD tooling.
This role is a B2B Paid Marketing leader responsible for owning and scaling global acquisition across channels like Paid Search and Programmatic. The position requires 8+ years of B2B growth experience and 6+ years leading paid marketing programs.
This role is a Consumer Paid Marketing leader responsible for owning and scaling global acquisition across channels like Paid Search and Paid Social. The position requires 8+ years of consumer growth experience and 6+ years leading paid marketing at significant scale.
This role is a B2B Enterprise Paid Marketing leader responsible for building global demand generation across channels like Paid Search and Programmatic. The position requires 10+ years of B2B growth experience and 6+ years leading paid marketing to scale ABM programs and optimize enterprise funnel performance.
This role leads the development of a company-wide owned-channel capability for B2B lifecycle strategy and orchestration platforms. The position requires 10+ years of experience in lifecycle, CRM, or growth, with strong technical fluency and executive-level cross-functional influence.
The Growth Lead in France shapes and executes ChatGPT's growth plans by partnering with the France GM to identify local opportunities and ship measurable improvements. The role requires 10+ years of experience in product growth, data science, or growth strategy, with strong command of acquisition, activation, retention, and monetization funnels.
The Growth Lead in Japan shapes and executes ChatGPT's growth plans by partnering with the Japan GM to identify local opportunities and ship measurable improvements. The role requires 10+ years of experience in product growth, performance marketing, and rigorous experimentation across acquisition, activation, retention, and monetization funnels.
The Growth Marketing Manager owns the web and organic growth strategy for OpenAI's SMB Ads platform, focusing on discovery, signup, and activation. The role requires 4-7 years of experience in growth marketing, web strategy, or organic acquisition, with strong analytical and experimentation skills.
The Growth Marketing Manager, SMB Ads role focuses on building high-velocity growth programs for small business advertisers at OpenAI. Candidates must have 4-7 years of experience in growth marketing and be proficient with AI tools to execute experiments across acquisition, activation, and retention.
This role builds and manages the end-to-end paid creative operating system for OpenAI's marketing programs. It requires 7+ years of experience in creative operations or growth marketing, with strong project management and cross-functional collaboration skills.
The Growth Partnerships Manager in Seoul will own a portfolio of strategic partnerships in Korea, focusing on distribution, integrations, and joint marketing. The role requires 8+ years of experience in partner management, fluency in Korean and English, and the ability to drive measurable adoption and commercial outcomes.
This role is a senior individual contributor position leading GTM Strategy & Operations for Security & Safety in partnership with the Policy team. The primary requirement is the ability to translate policy, security, and safety considerations into clear GTM strategies and operating models.
This role involves building the operating system for OpenAI's Professional Services business, focusing on GTM strategy, pricing, and capacity planning. Candidates must have 8+ years of experience in GTM operations or strategic finance and strong quantitative modeling skills.
This role involves designing and executing comprehensive test plans for AI-native silicon and supercomputing hardware systems. Candidates must have at least 10 years of industry experience in hardware testing, with expertise in high-speed interconnects, power, and thermal methodologies.
The Hardware Engineer role involves designing, prototyping, and validating mechanical and electrical subsystems for AI-driven consumer devices. Candidates must have 6+ years of consumer hardware experience and deep technical fluency in mechanical, electrical, or systems engineering.
The Hardware Finance Sr. Manager role involves owning an assigned area of hardware COGS and inventory end to end, including forecasting, close, and variance analysis. The position requires 8+ years of consumer hardware finance experience and deep expertise in at least two relevant domains.
The Hardware Operations Engineer serves as the technical authority for hardware reliability and fleet health at OpenAI's AI campuses. The role requires 8+ years of datacenter hardware experience, deep expertise in server and GPU systems, and strong troubleshooting and root cause analysis skills.
This role involves owning sourcing strategy and supplier partnerships for fiber and optical interconnect components for OpenAI's AI infrastructure. Candidates must have ten or more years of experience in strategic sourcing within optical communications or high-speed interconnects.
The role involves owning the integrated demand, supply, and deployment plan for OpenAI's 1P AI infrastructure systems. Candidates must connect infrastructure demand to site power, XPU requirements, and supply commitments while leading cross-functional execution and risk management.
The Head of Business Development, LATAM will lead OpenAI's regional BD strategy and execution, serving as the primary point of contact for regional leadership. The role requires 15+ years of experience in business development or product partnerships, deep operating experience in LATAM, and fluency in English, Portuguese, and Spanish.
This role leads the global Employee Tech & Experience team at OpenAI, focusing on strategy, investment, and operating model improvements. The position requires experience leading global organizations through growth and transformation, with a focus on enhancing employee experience and reliability.
The Head of Enterprise Risk Management will build and lead an integrated ERM program and platform at OpenAI. The role requires 12+ years of experience in enterprise risk, compliance, or related fields, along with strong technical fluency in GRC platforms and data analytics.
The Head of Finance - Data Centers leads financial evaluation and investment decisions for OpenAI's self-built data center infrastructure. The role requires 10+ years of experience in strategic or infrastructure finance, with strong skills in project modeling, capital budgeting, and financing structures.
This role leads Sourcing Enablement & Delivery, focusing on operational delivery, contracting, and AI transformation within OpenAI's Procurement department. Candidates must have 12+ years of experience in strategic sourcing or commercial leadership and the ability to build teams and drive AI adoption.
The role involves designing and building host-side systems software for OpenAI's custom AI hardware, including Linux kernel drivers and high-throughput I/O paths. Candidates must have strong C/C++ skills and experience with performance-critical systems software, Linux fundamentals, and debugging across hardware and software boundaries.
This role is a Senior HR Business Partner at OpenAI, reporting to an HRBP Lead, focused on strategic advising and organizational effectiveness. Candidates require 7-10+ years of HR experience, including at least 5 years as an HRBP in high-growth environments.
The HSE and Portfolio Performance Lead strengthens health, safety, and environmental oversight across OpenAI's data center construction portfolio. The role requires substantial experience leading HSE programs for major construction projects and translating OSHA standards into practical site controls.
The role leads complex security incident response for OpenAI's intellectual property, customer data, and infrastructure. Candidates must have experience leading incidents, coordinating cross-time-zone teams, and understanding detection engineering.
The role involves designing, building, and operating OpenAI's global compute infrastructure to support frontier AI models. Candidates must have experience with complex technical systems and strong technical judgment to solve high-impact problems across software, hardware, and data center operations.
The Industry Product Marketing Manager defines how OpenAI brings frontier AI to priority industries such as Life Sciences, Banking, or Healthcare. The role requires 6+ years of experience in product marketing or enterprise GTM, along with strong cross-functional program leadership and the ability to translate technical capabilities into clear positioning.
This role involves leading communications and community engagement for OpenAI's data center development projects in San Francisco. Candidates must have strong communication skills, experience in permitting and public meetings, and the ability to influence stakeholders across organizational boundaries.
The role involves leading policy- and reputation-focused integrated marketing campaigns for OpenAI's national and local audiences. Candidates must have 12+ years of experience in brand marketing, public affairs, or policy communications, with expertise in paid media and complex stakeholder engagement.
The role involves leading consumer marketing programs across LATAM, with a focus on Brazil and Spanish-speaking markets. Candidates must have 12+ years of technology marketing experience and fluency in Portuguese, English, and Spanish.
The Integrated Marketing Manager role involves identifying and curating proof points of AI's impact to create resonant stories and integrated marketing programs. The position requires 12+ years of experience in integrated marketing or content strategy, along with strong editorial instincts and leadership skills for cross-functional collaboration.
The Integrated Marketing Manager, EMEA role owns end-to-end regional B2B marketing programs and aligns them with Consumer Marketing. The position requires significant experience leading integrated B2B marketing across multiple EMEA markets and strong strategic judgment.
The Intelligence Systems Analyst works with investigators to build tools and workflows that support the analysis of severe AI misuse. The role requires practical experience with Python, SQL, and data systems to develop software and internal tools for investigative work.
This role leads internal communications strategy for OpenAI's Enterprise & Growth portfolio, advising senior leaders and crafting narratives about business priorities. Candidates must have 10+ years of experience in internal or executive communications, 1-2 years of people management, and strong editorial judgment.
This role supports internal communications for OpenAI's Enterprise and Growth portfolio, including B2B, Revenue, and Partnerships teams. Candidates need 3+ years of experience in internal communications or related fields, with strong organizational and event coordination skills.
This role involves translating technical developments and product milestones into clear internal communications for OpenAI's research and product organizations. Candidates must have strong writing and editing skills, technical curiosity, and 5+ years of experience in internal or product communications.
The role is an International Payroll lead based in Dublin, responsible for overseeing end-to-end payroll delivery across EMEA and APAC. Candidates must have 6+ years of international payroll experience, lead BPO partners, and manage new-country payroll implementations.
This role involves building core mobile experiences and reusable iOS foundations for OpenAI's Applied Foundations team. Candidates must have 4+ years of experience, fluency in Swift, and a track record of owning complex, business-critical mobile systems.
The role involves administering and troubleshooting conference room AV, video conferencing, and digital signage systems at OpenAI. Candidates must have 5+ years of experience with enterprise AV systems and hands-on expertise with platforms like Google Meet, Zoom, and Microsoft Teams.
The IT Logistics Lead manages the team responsible for global employee equipment readiness, asset management, and self-service channels. The role requires experience leading inventory and fulfillment across multiple regions, managing people, and implementing automation and AI-enabled workflows.
The IT Software Architect role focuses on shaping enterprise software, SaaS, and agent-enabled architecture within Corporate IT. The position requires 10+ years of experience in enterprise architecture and SaaS governance, with strong skills in identity, access, and integration design.
The EMEA Regional IT Support Lead is the senior onsite IT owner for the Dublin office and regional lead for IT support across EMEA. The role requires strong technical expertise in macOS, Windows, and identity management tools, along with experience in vendor management and cross-office coordination.
The IT Support Specialist serves as the first point of contact for troubleshooting hardware, software, and network issues across the organization. The role requires strong technical expertise in macOS and Windows, along with experience in identity and device management systems.
The IT Systems Engineer role focuses on engineering and operating enterprise platforms using infrastructure as code, APIs, and automation. Main requirements include deep experience with Google Workspace, GCP, and Slack, along with strong Terraform and integration skills.
The role leads technical production for complex internal and external events across multiple sites, requiring coordination of distributed crews and technical systems. Candidates must have advanced expertise in live production domains such as audio, video, and streaming, along with experience building reusable production practices and AI workflows.
This role involves managing the day-to-day operations of a large-scale consumer device test lab, including device fleets, test rigs, and lab infrastructure. The position requires hands-on experience operating complex physical test environments and maintaining reliable systems for validation and release testing.
The role involves securing land and data-center capacity for OpenAI's compute infrastructure by sourcing, evaluating, and executing commercial real estate transactions. Candidates must have strong CRE development experience with depth in land acquisition and the ability to structure and negotiate complex agreements.
The role leads technical due diligence for land development, including civil, geotechnical, environmental, and entitlement reviews. Candidates must have 8+ years of experience in land development or data center diligence and manage consultants to deliver go/no-go recommendations.
The role supports OpenAI's public policy work in Brazil and coordinates regional initiatives across Latin America. It requires 6+ years of experience in public policy or government relations, familiarity with Brazilian institutions, and strong communication skills in Portuguese and English.
This role involves leading legal strategy for OpenAI's global energy procurement and power infrastructure transactions. Candidates must have 10+ years of experience in complex commercial energy transactions and a California legal license.
The Senior Manager of Revenue Recognition leads technical accounting for OpenAI's strategic commercial deals, advising on complex, non-standard transactions. The role requires 10+ years of experience with deep ASC 606 expertise and the ability to establish accounting positions and controls.
The Lead Safety Engineer defines and leads the product safety strategy for OpenAI's robotics program, integrating safety into development and deployment. The role requires expertise in product safety, regulatory frameworks, and systems engineering to manage risk across robotic platforms.
This role leads the development of an intelligence and orchestration platform for OpenAI's SMB ads business, focusing on prospecting and customer data. The candidate must define data models, build scoring systems, and integrate marketing and sales workflows to drive measurable growth.
This role leads technical accounting analysis for complex compute infrastructure matters under U.S. GAAP. Candidates must have 10+ years of progressive accounting experience and a CPA or equivalent qualification.
The Legal Contracts Manager supports OpenAI for Government by managing the full contract lifecycle for U.S. federal, state, and local government customers. The role requires 7+ years of experience in government contracting, a TS/SCI clearance, and familiarity with FAR/DFARS and public sector compliance frameworks.
The Lifecycle Marketing Manager builds and leads lifecycle programs for SMB advertisers at OpenAI, focusing on prospect conversion, activation, and retention. The role requires setting strategy, owning program roadmaps, and executing cross-functional initiatives using behavioral insights and experimentation.
The M&A Finance Integration Lead owns and scales OpenAI's finance integration model across the full M&A lifecycle. The role requires 10+ years of experience in M&A, deal integration, and finance transformation, with strong stakeholder management skills.
The role is a senior Machine Learning Data Scientist position within OpenAI's Strategic Finance team, focused on building and scaling production-ready forecasting systems for business metrics. Candidates must have an advanced degree in a quantitative field and at least seven years of experience in applied data science with expertise in time-series forecasting and Python.
The Machine Learning Engineer role involves building production ML systems for model customization and post-training within AWS-native environments. Candidates need strong experience in deep learning, transformer models, and frameworks like PyTorch or TensorFlow.
This role involves leading the technical direction for ML-powered experimentation and insights capabilities at OpenAI. Candidates must build production systems for predictive experimentation, cross-experiment learning, and simulation workflows using Python.
The role involves developing and deploying production classification and evaluation systems for machine learning models. Candidates must have strong software engineering skills and experience with supervised learning, model evaluation, and production inference optimization.
The role involves designing and deploying advanced machine learning models for OpenAI's Monetization team. Candidates must have a Master's or PhD degree and experience with deep learning, transformers, and PyTorch or TensorFlow.
The role involves developing multimodal perception and authentication methods using signals from cameras, microphones, and other sensors. Candidates must have strong backgrounds in computer vision, audio, or multimodal learning, with proficiency in Python and PyTorch.
This role involves building and leading a team of Applied AI Engineers to support enterprise customers in deploying production-grade AI systems. The manager must possess technical depth, people leadership, and customer judgment to coach engineers and navigate complex organizational constraints.
This role leads a team of Applied AI Architects to deliver customer experiences from pre-sales through deployment. Candidates must have 8+ years in technical customer-facing roles and 3+ years leading technical pre-sales teams.
This role leads a team of senior technical architects to design and deploy OpenAI's AI solutions for large enterprise customers. Candidates must have 10+ years of customer-facing technical experience and 4+ years of people management.
This role leads a team of senior technical architects in Paris to design and deploy OpenAI's AI solutions for large enterprise customers across South EMEA. The manager must possess deep technical acumen in AI systems and at least four years of people-management experience.
This role leads a team of senior technical architects in Tokyo to design and deploy OpenAI's AI solutions for large enterprise customers. The manager must possess deep technical acumen in AI systems and at least four years of people-management experience.
This role leads a team of senior technical architects in London to design secure, scalable AI solutions for OpenAI's largest customers across North EMEA. The manager must possess 10+ years of customer-facing technical experience and 4+ years of people management to drive production adoption and technical strategy.
This role leads a team of senior technical architects in Munich or Berlin to design and deploy OpenAI's AI solutions for DACH customers. The manager must have 10+ years of technical experience and 4+ years of people management, focusing on production adoption and executive partnership.
The role is a Manager, Applied AI Engineering (Codex) position focused on leading a team to drive Codex adoption across strategic customers. Candidates must have 8+ years of technical experience and 2+ years leading teams, with strong hands-on software engineering skills.
The role is a Manager, Applied AI Engineering (Codex) in Munich or Berlin, leading a team to drive Codex adoption across strategic customers. Candidates need 8+ years of technical experience, 2+ years leading teams, and hands-on skills in Python or JavaScript.
This role leads a team of Applied AI Engineers to design and scale AI applications for strategic technology customers in the Americas. Candidates must have 8+ years of technical experience and 2+ years leading teams, with strong skills in AI/ML systems and customer partnership.
This role involves building and leading a team of Applied AI Engineers to support enterprise customers with production-grade AI systems. The manager must possess technical depth, people leadership, and customer judgment to coach engineers and navigate complex organizational constraints.
This role leads the Startups Applied AI Engineering team to help high-growth companies move from experimentation to production with OpenAI technologies. The manager must define strategic vision, build repeatable deployment mechanisms, and lead technical ICs in a high-velocity customer segment.
The Manager, Cyber - Applied AI Architect leads a team of customer-facing architects to design and implement AI-enabled security solutions using OpenAI models and agentic workflows. The role requires hands-on leadership, cybersecurity expertise, and experience managing both pre-sales and post-sales technical engagements.
This role involves leading a team of Forward Deployed Engineers to deliver production systems with frontier models in Tokyo. Candidates must have 8+ years of engineering experience, 2+ years managing engineers, and be fluent in both Japanese and English.
This role involves leading a team of Forward Deployed Engineers to deliver production systems with frontier models and own end-to-end technical and business outcomes. Candidates must have 10+ years of engineering experience, 2+ years managing engineers, and the ability to write production-grade code in Javascript or Python.
The Manager, Revenue Accounting role provides hands-on accounting support for enterprise revenue within Controllership. Main requirements include preparing journal entries, performing reconciliations, supporting monthly close and audits, and analyzing large datasets.
This role manages the technical revenue workstream for OpenAI's strategic commercial deals, from structuring through launch and governance. It requires 5+ years of technical revenue accounting experience with strong ASC 606 expertise and the ability to build complex revenue models.
This role involves leading a team of Senior Support Engineers to manage incident response, automation, and customer reliability for OpenAI's models. The position requires 10+ years of technical experience and 5+ years of management, with a focus on automation and cross-functional collaboration.
The role involves leading the development of processes, tooling, and prototype builds for custom motors and actuators within OpenAI's Robotics team. Candidates must have hands-on experience in electromechanical manufacturing, process validation, and cross-functional collaboration to translate designs into reliable hardware.
The role oversees quality for data center equipment at supplier factories, using audits and test results to identify and resolve systemic issues. Candidates must have a bachelor's degree in engineering and at least 10 years of data center experience in quality engineering and project management.
The Manufacturing Test Engineer role owns and drives manufacturing test strategy, development, and execution for complex AI hardware systems. The position requires defining test coverage across the product lifecycle, including ICT, functional circuit test, and system manufacturing test, while collaborating with hardware design, diagnostic, and manufacturing teams.
The Market Research Lead, ChatGPT role involves setting research strategy and leading complex quantitative and qualitative workstreams for a major business area. Candidates must have 12+ years of experience in mixed-method market research and data analysis, with expertise in instrument design, statistical analysis, and reporting.
The Marketing Scientist role supports OpenAI Ads by applying rigorous measurement expertise to improve advertisers' media performance. Candidates must have 10+ years of experience in advertising measurement, including incrementality testing, attribution, and marketing mix modeling, while working with large datasets using SQL, Python, or R.
The role is a JAPAC Marketing Operations Lead responsible for building operational foundations connecting regional B2B marketing to customer engagement and sales progression. Candidates must have 10+ years of experience in marketing operations or technology, with hands-on expertise in marketing automation, CRM, and database management.
The Marketplace Lead role involves defining the strategy and roadmap for OpenAI's B2B marketplace, including product, operations, and commercial models. Candidates must have 10-15 years of experience building and scaling B2B platforms with strong product judgment and operational rigor.
The Mechanical Commissioning Lead owns planning, quality coordination, and test execution oversight for mechanical systems in a datacenter project. The role requires 8+ years of experience in mechanical commissioning, construction, or field engineering, with strong coordination skills across contractors and vendors.
The Mechanical Design Engineer leads motor mechanical design and hardware prototyping for robotic systems, owning stator and rotor development from concept through validation. The role requires hands-on experience with CAD, fixture design, and low-volume prototype production to establish repeatable manufacturing processes.
The role involves designing and building mechanical test infrastructure for robotic actuators, including dynamometers, fixtures, and safety systems. Candidates must have strong mechanical design skills, CAD proficiency, and hands-on lab experience with rotating machinery and precision alignment.
The role involves leading mechanical design and thermal solutions for AI supercomputers in data centers. Candidates require a mechanical engineering degree and 7+ years of experience in IT hardware design, simulation, and validation.
The role involves designing and deploying precision mechanical fixtures for printed circuit board assembly testing in robotic systems. Candidates must independently manage the full lifecycle from concept and CAD design through fabrication, validation, and deployment at contract manufacturers.
The Mechanical Lead role oversees mechanical field delivery for data center construction, including cooling infrastructure, piping, and data hall fit-out. The position requires substantial experience in mechanical construction or field engineering, along with demonstrated leadership of contractors and coordination across multiple technical teams.
This role involves developing communications strategies and crafting responses to highlight OpenAI's proactive safety practices and responsible AI deployment. The position requires 10+ years of professional PR and media relations experience, with a strong ability to translate complex technical information into clear, persuasive content.
This role supports OpenAI's executives by managing complex calendars, coordinating meetings and travel, and handling team operations. Candidates need 4 to 18 years of executive support experience, strong communication skills, and proficiency with Google Workspace and Slack.
This role involves architecting purchasing and subscription experiences across native mobile, web, and product APIs for OpenAI's Consumer Monetization team. Candidates must have deep iOS or Android expertise and professional experience contributing to frontend web or backend development.
The Model Policy Manager investigates model misalignment and develops safeguards, evaluations, and monitoring for agentic safety. The role requires a strong background in AI safety or security, technical fluency with evaluation data, and the ability to translate alignment risks into measurable criteria.
The Model Policy Manager role focuses on shaping model behavior for U.S. government national security applications by defining policies and translating them into training and evaluation criteria. Candidates must have experience in AI safety, policy, or risk assessment, along with the technical fluency to work with model data and evaluations.
OpenAI seeks a Motion Designer to translate complex research into engaging motion for films, launches, and demos. The role requires 7+ years of experience, strong animation craft, and proficiency in After Effects and 3D tools.
The Network Engineer role involves designing and operating secure, scalable enterprise networks across offices, labs, and cloud environments. Candidates must have strong routing and switching fundamentals, production troubleshooting experience, and the ability to automate infrastructure using modern programming languages.
The Network Engineer role involves designing, operating, and automating secure enterprise networks across offices, labs, and cloud environments. Candidates must demonstrate end-to-end ownership of routing, switching, and WAN services while balancing strategic platform work with responsive incident response.
The role involves designing, deploying, and operating OpenAI's global WAN infrastructure, including circuit activation and troubleshooting across Layer 1, 2, and 3. Candidates must have hands-on experience with WAN circuits, networking fundamentals, and automation tools to support global network expansion.
This role leads OpenAI's site network infrastructure delivery, coordinating physical installation and readiness of network systems with central teams and contractors. The position requires 8-10 years of data center network deployment experience and strong field leadership to manage structured cabling, fiber, and equipment installation.
This role involves operating and improving large-scale Ethernet fabrics for GPU clusters and AI infrastructure. Candidates must have 5+ years of experience in data center or HPC networks and proficiency with platforms like Cisco NX-OS or Arista EOS.
The role involves building and maintaining custom NOS images for AI supercomputers using open-source components like SONiC and SAI. Candidates must have deep expertise in networking, Linux kernel internals, and switch ASIC SDKs to design and debug production systems.
The role involves building and scaling the outsourced operating model for OpenAI's North America Ads business. Candidates must have 5+ years of experience in vendor operations or commercial operations and strong analytical skills.
The Operating Systems Engineer role involves building and hardening OS foundations for OpenAI's consumer devices, focusing on kernel, userspace services, and security. Candidates must have strong systems programming experience in C/C++ and a track record of debugging complex kernel and userspace issues.
The role involves designing, developing, and maintaining Linux kernel capabilities for OpenAI's consumer devices. Candidates must have substantial hands-on experience with Linux kernel subsystems and proficiency in C for low-level systems development.
This Senior Operations Analyst role focuses on solving ambiguous safety and risk problems within OpenAI's User Safety & Risk Operations team. Candidates must have 8+ years of experience in trust and safety or high-judgment operational fields and be comfortable building scalable workflows and tools.
The Operations Manager role in Singapore leads cross-functional planning and vendor management to transform early product concepts into high-quality consumer devices. Candidates must have 6+ years of hardware operations experience and fluency in NPI processes and global supply chain management.
This role serves as the senior technical counterpart to AWS field leadership, shaping strategy and engagement models for OpenAI-powered solutions. Candidates must have 8+ years of technical consulting experience and lead complex enterprise engagements from ideation to production.
The Partner Applied AI Engineer role involves leading technical engagements with systems integrators to deploy Generative AI solutions for enterprise customers. Candidates must have 8+ years of technical consulting experience and expertise in implementing GenAI or ML solutions using the OpenAI API.
The Partner Applied AI Engineer role involves leading technical engagements with systems integrators to deploy Generative AI solutions for enterprise customers. Candidates must have 8+ years of technical consulting experience and expertise in building GenAI prototypes using the OpenAI API.
This role involves shaping and executing OpenAI's AWS alliance partnership in Japan, focusing on joint account planning and co-sell execution. The candidate must have direct AWS alliance experience, 8+ years in partnerships, and strong technical fluency to drive measurable customer outcomes.
This role leads and scales OpenAI's global relationship with McKinsey & Company as the single accountable executive owner. It requires senior executive presence, commercial discipline, and technical fluency to define partnership strategy and drive enterprise AI adoption.
This role leads OpenAI's global strategic partnership with PwC to build a joint business plan and field motions for enterprise AI adoption. The position requires experience leading global alliances, deep familiarity with PwC's organizational model, and strong executive presence to align cross-functional teams.
The Partner Marketing Manager, Ads role focuses on building and scaling the partner ecosystem for ChatGPT Ads to drive advertiser adoption and revenue. Candidates must have 8+ years of experience in partner or platform marketing and strong cross-functional collaboration skills.
The Partner Marketing Manager role owns joint go-to-market plans for technology partners and ISVs, focusing on launches, campaigns, and demand generation. The position requires 10+ years of experience in partner or product marketing and strong cross-functional influence.
The role involves partnering with advertisers to provide technical expertise in pre-sales and growth, translating objectives into scalable solutions for measurement and integrations. Candidates need 5+ years of experience in solutions engineering or adtech, with hands-on knowledge of digital advertising measurement, APIs, and SQL.
The Partnerships Operations Lead builds and runs the operating foundation for OpenAI for Government's Partnerships team, coordinating deal execution across cross-functional stakeholders. The role requires 7+ years of experience in operations or program management, with a focus on building processes and managing complex government partner workflows.
The Payroll Initiatives Lead role focuses on scaling payroll ecosystems and managing global M&A integrations at OpenAI. Candidates require 8+ years of progressive payroll experience, strong knowledge of global regulations, and proficiency with large HCM systems like Workday.
The role involves designing high-density PCBs for robotic systems, owning layout from floor planning to fabrication release. Candidates must have 6+ years of experience with complex multilayer PCBs and fluency in Cadence Allegro.
The role supports sustaining engineering for printed circuit board assemblies (PCBAs) in OpenAI's Industrial Compute hardware platforms. Candidates must have 5+ years of high-volume PCBA manufacturing experience and strong skills in root cause analysis and contract manufacturer collaboration.
The People Research Scientist role involves designing rigorous research strategies and applying advanced statistical modeling to inform OpenAI's talent programs. Candidates must have deep expertise in research design, experimentation, and applied data science, with proficiency in R, Python, and SQL.
This role involves owning Workday configuration and support for Absence, Time Tracking, and Benefits systems for a global workforce. Candidates must have deep hands-on expertise in Workday and experience independently managing benefits and time tracking configurations.
The Performance Modeling Engineer develops and applies modeling tools to evaluate AI system performance and inform architectural decisions. The role requires strong software or modeling backgrounds, familiarity with system architecture, and the ability to run simulations and analyze quantitative models.
This role involves supporting the development of performance modeling tools to evaluate AI system performance and inform architectural decisions. Candidates need 1-2 years of experience in software engineering or systems analysis, along with strong programming and analytical skills.
The Performance Modeling Lead role involves building and leading a team to develop modeling frameworks for evaluating AI infrastructure tradeoffs. Candidates must have deep knowledge of AI/ML workloads and experience using modeling to inform architectural decisions.
The role involves developing tools and methodologies for physical design to optimize power, performance, and area for next-generation AI accelerators. Candidates must have experience in physical design, PPA convergence, and coding with Python, Bazel, and TCL.
The role involves leading customer discovery and workshops to identify high-value design and simulation use cases for OpenAI's Physical Engineering team. Candidates must have firsthand experience with CAD, simulation, or related engineering tools and strong skills in technical storytelling and project delivery.
The role involves designing and implementing structured cabling and physical network infrastructure for OpenAI's global data centers. Candidates must have 10+ years of experience in data center network design and structured cabling, with expertise in fiber and copper systems.
The Platform Operations Program Manager role involves designing operational systems for developer ecosystem growth, including plugins and integrations. The position requires 8+ years of experience in program management and strong operational judgment to partner across cross-functional teams.
This role leads full-lifecycle partnerships for OpenAI's platform integrations, including Codex and ChatGPT. Candidates must have 10+ years of experience in product partnerships or product management and strong negotiation skills.
The Pricing Operations Lead translates pricing and packaging decisions into scalable execution across Product, Engineering, Billing, Finance, and GTM teams. The role requires 6+ years of experience leading pricing or monetization operations, strong cross-functional collaboration, and the ability to manage complex system requirements and launch processes.
The Pricing Strategist role involves developing pricing and packaging strategies for ChatGPT and Codex, focusing on model pricing and monetization. Candidates must have strong analytical skills, 6+ years of strategy experience, and 3+ years of hands-on pricing experience.
The Pricing Strategist, GTM role involves shaping pricing strategy for B2B enterprise customers and developing commercial strategies for specific segments. Candidates must build pricing-performance reviews, analyze discounting, and partner with GTM, Sales, and Product teams.
The Principal Security Engineer role focuses on setting technical direction for infrastructure security programs at OpenAI. Candidates must have deep expertise in cloud platform security and a track record of leading large, cross-organizational initiatives.
The Principal Software Engineer role leads technical direction and development of ChatGPT's learning experiences, focusing on scalable backend services and polished interfaces. Candidates must have 10+ years of experience, strong product judgment, and a track record of shipping high-quality full-stack products.
The Principal Software Engineer role focuses on setting technical direction for critical infrastructure security services, including authentication and key management. Candidates must have strong software engineering skills and experience operating reliable distributed systems at planet scale.
The Principal Software Engineer role focuses on setting technical direction for the Connector Ecosystem team, which builds plugins and integrations for ChatGPT and Codex. Candidates must have 10+ years of experience leading complex initiatives and designing APIs, SDKs, and services for developer platforms.
The Procurement Operations Specialist supports subcontracting and intercompany purchasing by coordinating agreements, purchase orders, and payments. The role requires hands-on procurement experience, practical AI fluency for workflow automation, and strong communication with suppliers and internal stakeholders.
The Product Content Creator role involves developing videos, interactive tutorials, live demos, and written guides to help business audiences understand AI capabilities. Candidates must demonstrate strong creative judgment, proficiency with AI tools like Codex, and the ability to own content from concept through delivery.
This role owns the official costed bill of materials and total cost of ownership for OpenAI's 1P AI infrastructure. The candidate must build TCO models, analyze engineering changes, and partner with cross-functional teams to drive cost-reduction decisions.
This role involves driving product data science for under-18 audiences, families, and learners at OpenAI. The position requires strong SQL and Python skills, statistical judgment, and experience with experiments and causal inference to shape product strategy.
This role leads product design for Codex and ChatGPT growth experiences targeting business users. The position requires a mix of team leadership and hands-on design execution, with a focus on high-impact projects and cross-functional collaboration.
This role leads OpenAI's company-wide accessibility program within the Design Foundations team, combining strategy with hands-on product design. Candidates must have deep expertise in WCAG, assistive technologies, and inclusive design systems, with experience leading accessibility work across multiple teams and platforms.
This role leads end-to-end design for new consumer experiences across health, finance, and agentic verticals. It requires substantial experience shipping consumer software at scale and strong UX, UI, and interaction design skills.
This role leads end-to-end design for data-intensive products, including a real-time data exploration experience and an experimentation platform. The designer must define interaction models for complex technical systems and establish durable patterns for AI-native workflows.
The Product Designer, Growth role is based in San Francisco and focuses on shaping growth experiences for ChatGPT across the user lifecycle. Candidates must demonstrate exceptional design craft, strong product judgment, and the ability to use data and experimentation to drive measurable impact.
This role involves leading end-to-end product design for OpenAI's higher education experiences, focusing on AI tools for students, faculty, and institutions. The designer must combine exceptional interaction and visual craft with deep product thinking to shape zero-to-one and core learning products.
This role leads design for OpenAI's payments and monetization infrastructure, partnering with product and engineering to shape consumer and enterprise experiences. Candidates must be strong systems thinkers with UX/UI skills and experience designing complex platform or enterprise products.
The Product Designer role supports People Innovation Labs by designing internal People products and AI-powered tools. Candidates must have 4+ years of experience shipping software and strong UX/UI design skills.
This role involves building backend infrastructure and customer-facing workflows for AI agents to investigate and fix security vulnerabilities. Candidates must have strong Go skills, experience with production backend systems, and an understanding of distributed systems and cloud infrastructure.
This role involves driving user and revenue growth for ChatGPT across international markets by partnering with product, engineering, and data science teams. Candidates must demonstrate expertise in funnel optimization, experimentation, and applying AI-native automation to improve acquisition, retention, and monetization.
This role involves defining the roadmap for agentic infrastructure and API products to help developers build applications on OpenAI models. Candidates need 5+ years of product management experience and a proven track record of building for developers.
The role involves defining and scaling products for data processing, privacy, billing, and access controls within OpenAI's API infrastructure. Candidates must have experience in security, data infrastructure, or usage-based platform products and lead complex cross-functional teams.
This role involves defining model requirements and guiding the development of AI capabilities for real-world applications. The position requires deep expertise in product management and fluency in domains such as search, ML platforms, or model evaluation.
This role involves leading the product strategy and roadmap for enterprise identity capabilities, including SSO, SCIM, and identity federation, across OpenAI products. The position requires 10+ years of product management experience and strong collaboration with engineering, security, and GTM teams to ensure secure enterprise adoption.
This role involves developing strategy and roadmaps to scale billing operations and customer experience for OpenAI's Financial Engineering team. The ideal candidate has 6+ years of product management experience and a background in billing, finance, or accounting.
The Product Manager will own strategy, roadmap, and execution for OpenAI's financial services products, working with customers and cross-functional teams to build AI solutions for finance professionals. The role requires strong product judgment, experience taking complex products from discovery to launch, and the ability to understand financial workflows and integrate with enterprise requirements.
The Product Manager will own Integrity's product strategy for sensitive deployments, including government and regulated enterprise contexts. The role requires experience shipping complex product systems in AI safety, security, or privacy, and the ability to turn policy questions into product requirements.
This role involves owning the product roadmap for a technology vertical and developing ecosystem strategy across technology partners. Candidates must have built enterprise products for non-developer knowledge workers and be able to turn complex workflows into clear product decisions.
This role involves creating age-specific product experiences for under-18 users on OpenAI's Youth Well-Being team. The Product Manager will own products end-to-end, partnering with engineering, design, and policy to build safe, age-appropriate AI features.
This role involves driving technical initiatives for the manufacturing, quality, and reliability of AI supercomputer hardware systems from concept to mass production. Candidates must own integrated manufacturing readiness, coordinate with cross-functional stakeholders, and lead qualification, reliability testing, and supplier audits.
The role involves driving manufacturing and quality initiatives for next-generation AI hardware, with a focus on PCB and PCBA processes. Candidates must lead cross-functional teams to manage product development from concept to mass production.
The Product Manufacturing Engineer role drives manufacturing strategy and execution for next-generation AI hardware, with a focus on PCBA manufacturing and production readiness. The position requires deep experience in PCBA assembly, process development, and quality control, along with the ability to manage complex hardware programs from concept through high-volume production.
This role involves leading product marketing for OpenAI's models, research, and API portfolio to drive global adoption. Candidates must have 12+ years of experience in product marketing for complex technical products and a track record of leading teams and major launches.
This role is a senior product marketing leader responsible for owning the strategy, narrative, and go-to-market direction for ChatGPT Work. The position requires 12+ years of experience in product marketing or strategy, with a focus on enterprise adoption and cross-functional leadership.
The Product Marketing Manager, Advertising role involves defining strategy and positioning for OpenAI's advertising business while driving go-to-market initiatives. Candidates must combine strategic thinking with execution, using customer research and market analysis to inform product priorities and launch plans.
This role involves shaping the enterprise narrative and messaging for OpenAI's B2B products to connect AI capabilities with business outcomes. The position requires 14+ years of experience in B2B product marketing, exceptional writing skills, and the ability to work with senior leaders to develop high-priority materials.
The Product Reliability Engineer owns reliability engineering for advanced IT hardware, including PCBAs, compute trays, and integrated racks. The role requires defining reliability requirements, executing qualification tests, and leading failure analysis across development and production.
This Program Manager role builds enforcement systems for Critical Harm Operations within User Safety & Risk Operations. Candidates must have 8+ years of experience in program management or related fields and demonstrate strong cross-functional coordination and execution skills.
The Program Manager coordinates OpenAI's Government Trusted Access portfolio across high-trust domains like cyber and bio. The role requires 5-10 years of experience in program management or related fields, an active TS clearance, and the ability to build cross-functional operating mechanisms.
The Program Manager builds and runs a partner network to help local organizations adopt OpenAI technology. The role requires 8+ years of experience in complex partner or operational programs, strong operational judgment, and the ability to manage onboarding, payments, and local events.
This role manages planning, coordination, and execution systems for OpenAI's National Security Policy team. The candidate must have 5+ years of experience in program management and strong analytical and communication skills.
The Program Manager executes Technology Capital Builds by coordinating Real Estate, IT, and Security teams to deliver technical solutions for new office buildouts and datacenters. The role requires strong project management capabilities, knowledge of commercial real estate construction, and experience in vendor management and network infrastructure.
This role supports OpenAI's research and manufacturing activities by managing mission-critical construction projects with complex engineering design. The position requires 8+ years of experience in infrastructure projects, construction budgeting, and technical coordination across MEP, civil, and architectural scopes.
The role involves designing and maintaining production harm detection systems for OpenAI's Integrity team. Candidates must be proficient in SQL and Python, with experience in machine learning and cross-functional project delivery.
The Protection Scientist Engineer role involves designing and maintaining production harm detection systems for OpenAI's Integrity team. Candidates must be proficient in SQL and Python, with experience in machine learning and cross-functional project delivery.
The role involves establishing and managing a comprehensive quality program across OpenAI's global datacenter supply chain. Candidates must have 10+ years of experience in manufacturing quality management and a bachelor's degree in engineering or a related field.
The role involves creating high-quality datasets and quantized representations for OpenAI's multimodal data, including synthesizing images, audio, and video. Candidates must have a strong track record of new or improved ML ideas and be able to own and drive a research agenda.
The role involves developing methods to select, combine, and transform pretraining data for OpenAI's frontier models. Candidates must have a strong track record of new or improved ML ideas and own a research agenda.
This contract role supports OpenAI's recruiting team by coordinating candidate logistics, scheduling interviews, and managing travel arrangements. Candidates must have 2+ years of recruiting coordination experience and be detail-oriented, organized, and self-directed communicators.
This role involves designing and running rigorous evaluations of model cyber capabilities and safeguards to assess attacker capabilities and vulnerability resilience. Candidates must have substantial depth in either cybersecurity or AI model evaluation, along with the ability to build automated testing infrastructure and communicate technical findings.
This role leads OpenAI's advertising business across Asia-Pacific, based in Singapore. The manager oversees a distributed team to drive regional revenue growth and shape market expansion strategy.
The role involves managing complex regulatory operations, including EU DSA and AI Act compliance, across global regions. Candidates must have 8+ years of experience in regulatory compliance and trust & safety, with strong judgment for sensitive escalations.
The Research Engineer role involves building AI systems and designing massive-scale distributed machine learning systems. Candidates must have strong programming skills and experience working in large distributed systems.
The role involves developing memory and personalization capabilities for frontier models within OpenAI's Personal AGI organization. Candidates must have a background in reinforcement learning research and be able to convert scientific rigor into product impact.
The role involves researching and developing improvements to memory usage and personalization in OpenAI's frontier models. Candidates must have a background in frontier model post-training and be able to iterate quickly on product-driven research.
The role involves designing evaluations and building AI systems to automate research workflows at OpenAI. Candidates must have experience in LLM training, model evaluations, agent systems, or large-scale distributed systems.
This role involves building frontier health capabilities and taking underdefined problems from 0 to 1 to improve models and products. Candidates need strong machine learning research experience, hands-on coding skills, and depth in pretraining, reinforcement learning, post-training, or biomedical AI.
The role involves developing scalable training methods and RL environments to improve AI models' understanding of human values and long-term goals. Candidates need strong research experience in pretraining or reinforcement learning, or deep expertise in domains like education and mental health.
The role involves researching and developing improvements to pre-trained models for deployment in ChatGPT and other products. Candidates need strong ML engineering skills, research experience with novel models, and the ability to build robust evaluations.
The role involves building reinforcement learning environments and evaluations for chip-design tasks such as RTL generation and physical design optimization. Candidates must have strong programming skills and experience with applied ML research, tool-using agents, or automated evaluation systems.
The Research Engineer role focuses on improving the capabilities and reliability of OpenAI's agentic models through research, engineering, and product collaboration. Candidates must have strong technical fundamentals in machine learning or software engineering and hands-on experience with LLMs, RL, or post-training.
The Research Engineer, Privacy role involves designing privacy-preserving machine learning algorithms and strengthening model robustness against privacy attacks. Candidates must have hands-on experience with privacy-enhancing technologies and proficiency in modern deep learning stacks like PyTorch or JAX.
The role involves working as a Research Engineer or Scientist on the Personal AGI team to improve model capabilities, safety, and personalization. Candidates must have strong ML engineering skills, research experience, and the ability to build robust evaluations and debug large codebases.
The role involves advancing AI alignment and capabilities through reinforcement learning research and building next-generation generative models. Candidates must have a background in RL research, be proficient at coding, and be able to iterate quickly in a fast-paced environment.
The role involves researching and developing improvements to pre-trained models for ChatGPT and the API, focusing on reinforcement learning and model behavior. Candidates must have strong ML engineering skills, research experience with novel models, and the ability to build robust evaluations and debug code.
The Research Program Manager embeds with research teams to drive complex AI model development, safety, and infrastructure initiatives. The role requires 5+ years of experience in technical program management and the ability to engage substantively with researchers and engineers on technical topics.
The Research Program Manager leads safety and robustness initiatives for OpenAI's models by designing evaluations and coordinating across research and engineering teams. The role requires strong technical program management experience, familiarity with large language models, and the ability to manage high-uncertainty projects.
This role partners with research, engineering, and operations to design and implement data acquisition solutions. The position requires proficiency in SQL and Python, along with the ability to evaluate data opportunities and build lightweight systems.
The Research Program Manager on the Frontier Assurance team leads independent safety assessments and public transparency programs for OpenAI's frontier AI models. The role requires deep experience in research partnerships, program management, and cross-functional coordination with technical and research teams.
This role involves leading cross-functional governance work to shape AI safety, deployment, and policy decisions. Candidates must synthesize technical and policy evidence, manage complex programs, and communicate recommendations to senior leaders.
The Research Program Manager partners with research and engineering to design and execute data collection campaigns for OpenAI's Human Data team. The role requires proficiency in SQL and Python for data analysis, API integration, and dashboard creation.
The Safety Measurement Research Program Manager drives OpenAI's strategy for safety measurement and evaluations by partnering with research, data science, and engineering teams. The role requires 6+ years of experience in program or product management, a strong foundation in data science or statistics, and the ability to manage cross-functional initiatives.
This role involves leading safety programs and technical roadmaps for OpenAI's frontier models, partnering with researchers and engineers to develop safeguards and assess risks. Candidates must have 5+ years of experience managing complex technical programs and a strong understanding of frontier AI safety concepts.
The role involves developing innovative machine learning techniques and advancing the research agenda for a team at OpenAI. Candidates must have a track record of new ideas in machine learning and the ability to autonomously pursue long-running research projects.
The role involves designing embedding training objectives, scalable vector store architectures, and dynamic indexing methods for search systems. Candidates must have deep expertise in representation learning, embedding models, or vector retrieval systems, along with experience building large machine learning systems.
The role involves developing methods to extract and connect structured information from heterogeneous web content for knowledge graphs. Candidates must have deep experience in knowledge extraction, machine learning, and building scalable data systems for web-scale retrieval.
The role involves leading safety and alignment research to build systems that detect spam, manipulation, and adversarial web content. Candidates must define technical approaches, develop classifiers and evaluations, and integrate integrity signals into Search indexing and retrieval.
This role focuses on designing and building oversight systems and system-level mitigations for AI agents to ensure safe and autonomous operation. Candidates must reason rigorously about security boundaries and agent behavior to build practical controls and evaluate their effectiveness.
The role involves training and evaluating frontier AI models to reduce harmful agent actions and build scalable safety measurement systems. Candidates must demonstrate strong research engineering, ML engineering, or quantitative research skills with the ability to execute independently through ambiguity.
The role involves designing and implementing experiments to ensure AI systems align with human intent and remain safe as capabilities scale. Candidates must have a PhD or equivalent research experience in computer science or a related field, along with strong engineering skills in large-scale machine learning systems.
The role involves designing and running empirical studies to improve the monitorability of chain-of-thought in frontier reasoning models. Candidates need strong empirical ML expertise and experience with model behavior, alignment, or interpretability.
The role involves developing and publishing research on mechanistic interpretability and engineering infrastructure to study deep network representations. Candidates must have a Ph.D. or research experience in computer science, machine learning, or related fields, along with 2+ years of research engineering experience.
The role involves designing and implementing mitigation components for model-enabled cybersecurity misuse across OpenAI's products. Candidates must have strong technical depth in deep learning, transformer models, and software engineering to build scalable safeguards.
The role involves developing novel safety mitigations and evaluations for frontier AI models to address emerging risks. Candidates must have a Ph.D. in a related field, 4+ years of research engineering experience, and proficiency in Python.
The role involves developing and publishing research on mechanistic interpretability to understand deep network representations. Candidates must have a Ph.D. or research experience in computer science, machine learning, or related fields, along with 2+ years of research engineering experience.
The role is a senior researcher position leading technical work on misalignment monitoring for frontier AI systems. Candidates must have strong research judgment, technical depth, and experience in machine learning research, model evaluations, or AI safety.
The role involves defining and advancing multimodal safety research for text, vision, and audio to ensure frontier models behave safely. Candidates must have deep technical expertise in vision-language models, modality fusion, and multimodal post-training or evaluations.
This role involves preparing for recursive self-improvement risks by designing and implementing mitigation strategies for loss of control. Candidates must be exceptional technical executors with strong strategic taste to prioritize work in domains with weak feedback loops.
The role involves designing technical assessments for frontier AI risks and supporting external evaluators with data and access. It requires strong software engineering skills, experience with machine learning systems, and the ability to conduct reproducible experiments.
The role involves setting research directions for AI safety and developing monitor models to detect misuse and misalignment in frontier AI systems. Candidates must have a Ph.D. and at least four years of experience in AI safety and research engineering.
The role involves developing safety training methods for OpenAI models, including RLHF, DPO, and PPO, to improve alignment and reliability. Candidates must have hands-on experience with post-training methods and hold a PhD or equivalent practical research experience.
The role involves researching and implementing methods for safety training, reinforcement learning, and adversarial robustness for U.S. government national security applications. Candidates must have 4+ years of AI safety research experience, a relevant degree, and an active TS/SCI clearance.
The role involves developing novel reinforcement learning techniques using synthetic environments and feedback to improve large-scale models. Candidates must have a strong background in reinforcement learning and machine learning research, along with strong engineering and statistical analysis skills.
The role involves pushing the frontier of architecture development for OpenAI's flagship models to enhance intelligence and efficiency. Candidates must have a deep understanding of LLM architectures and a hands-on empirical approach to model inference.
The role involves pushing the frontier of LLM development for OpenAI's flagship models by designing new architectures and optimizing performance. Candidates must have a deep understanding of LLM architectures and a hands-on empirical approach to model inference.
The Robotics Software Engineer role focuses on expanding data collection and evaluation programs by designing and optimizing software for diverse robotics hardware. Candidates must have 5+ years of professional software engineering experience and strong proficiency in Rust or C++.
This role involves owning the microarchitecture and RTL implementation of scalable on-chip fabrics and off-chip interfaces for a custom AI accelerator platform. The candidate must have deep expertise in packet networking, interconnects, and SystemVerilog, with experience driving designs from requirements through silicon bring-up.
This role leads a regional Safety Response team and personally handles high-risk safety cases for OpenAI's 24/7 global operation. Candidates need 8+ years in Trust & Safety or Risk Operations and 4+ years of direct people leadership.
The Safety Transparency Editor owns the editorial quality of key safety transparency artifacts, such as system cards and the Deployment Safety Hub. The role requires writing clear explanations of technical safety topics and using AI tools to build scalable workflows for external communication.
This role leads and develops a team of SDRs to generate qualified pipeline for OpenAI's enterprise business in Japan. Candidates must have 6-10+ years of sales or GTM experience, manage SDR teams in enterprise SaaS, and be fluent in Japanese.
This role leads a team of SDRs to generate qualified pipeline for OpenAI's Large Enterprise business across North America. Candidates must have 6-10+ years of experience in sales or GTM, with a proven track record of managing SDR teams and driving enterprise pipeline generation.
This role leads a team of technical sales professionals to drive OpenAI's startup segment sales strategy and achieve customer deployments. The ideal candidate has 8+ years of sales leadership experience, deep startup ecosystem knowledge, and a comprehensive understanding of AI technologies.
The Scaled Programs Lead role involves building and scaling global programs to engage SMB-focused agencies and partners for OpenAI's advertising platform. The position requires experience in program strategy, audience segmentation, recruitment, education, and co-marketing to drive advertiser growth.
The Sales Development Manager, EMEA role leads a team of SDRs to generate qualified pipeline for OpenAI's Enterprise Sales team. Candidates must have 6-10+ years of sales or GTM experience, including at least 3 years in management, and strong operational skills.
The Security Engineer role focuses on designing and implementing security frameworks, policies, and controls to secure OpenAI's agentic AI systems. Candidates must have strong software engineering skills in Python or a systems language, along with expertise in modern isolation techniques and network security.
The Security Engineer, Application Security role involves identifying and mitigating vulnerabilities through security assessments, code reviews, and penetration testing. Candidates must have extensive cybersecurity experience, proficiency in programming languages, and strong communication skills to support secure development practices.
The Security Engineer, Application Security role involves identifying and mitigating vulnerabilities through security assessments, code reviews, and penetration testing. Candidates must have extensive cybersecurity experience, proficiency in programming languages, and strong communication skills to support secure development practices.
The Security Engineer, Application Security role involves identifying and mitigating vulnerabilities through security assessments, code reviews, and penetration testing. Candidates must have extensive cybersecurity experience, proficiency in programming languages, and strong communication skills to support secure development practices.
The role involves designing and building security controls across hardware, firmware, OS, Kubernetes, and networks to protect OpenAI's infrastructure. Candidates need deep security principles, cloud platform expertise, and experience securing on-prem deployments and datacenters.
The role involves owning Security and IT M&A programs, managing cross-functional integration from diligence through handoff. Candidates must have 5+ years of experience leading complex programs and building scalable frameworks.
The Senior Counsel, AI Product role involves partnering with product teams to address legal risks for frontier AI models and consumer offerings. Candidates must have a JD, California bar qualification, and 8+ years of experience in in-house or technology law firm roles.
This role involves leading competition legal matters, engaging with global regulators, and supporting M&A activities at OpenAI. Candidates must have 10+ years of antitrust experience, a JD, and a mix of in-house and law firm backgrounds.
The Senior Corporate Counsel, M&A role supports and leads mergers, acquisitions, joint ventures, and other corporate transactions through their full lifecycle. Candidates must have a JD, California legal qualification, and 8+ years of transactional-focused legal experience with technology companies or law firms.
The role is a Senior Counsel position in Paris, France, focused on providing broad legal support for OpenAI's local office with a primary emphasis on regulatory and policy matters. Candidates must have a law degree and substantial experience advising on French law, with the ability to manage regulatory engagement and cross-functional legal issues.
This role advises on legal issues for hardware products and embedded software, working with engineering and product teams from development through launch. Candidates need 8+ years of legal experience, a California license, and expertise in software licensing and consumer device counseling.
This role leads Accounts Payable operations for compute infrastructure, managing high-value supplier obligations and complex payment terms. Candidates must have 8+ years in AP or finance operations and experience coordinating cross-functional teams to ensure accurate, timely payments.
This role leads technical accounting assessments and policy development for OpenAI's advertising revenue. It requires 10+ years of revenue accounting experience and the ability to build 0-to-1 processes.
This role provides senior EHS leadership for OpenAI's robotics operations, focusing on site-level safety strategy and execution. The candidate must have 15+ years of EHS experience and strong technical knowledge in machine safety, electrical safety, and OSHA compliance.
The Senior Manager, Financial Reporting role involves building and running a best-in-class financial reporting engine at OpenAI. The position requires 10+ years of progressive accounting experience, including 4+ years in external reporting, and an active CPA license.
The role leads strategic occupancy planning for GTM and G&A organizations, translating business needs into space strategies and capacity scenarios. It requires 5-8+ years of experience in workplace strategy and hands-on expertise with CAFM/IWMS platforms.
The Senior Manager, Supplier MDM Operations role owns end-to-end supplier data operations, including onboarding, sensitive-change controls, and service standards. The position requires substantial experience in supplier master data, P2P, or finance operations, with a track record of leading complex operations and developing people.
This role involves owning procurement execution for complex infrastructure deals, including land, leases, power, and colocation agreements. Candidates must manage the full lifecycle from intake to closeout while building scalable processes and workflow automation.
This role involves building safety, quality, and risk operations for a new category of consumer devices at OpenAI. The position requires translating ambiguous product risks into practical operating models, workflows, and launch-readiness plans.
This role leads security operations for SCI and SAP programs, serving as a CSSO or CPSO for government customers. Candidates must have deep special programs expertise, active Top Secret eligibility, and current SCI access.
This role involves owning the architecture and technical vision for OpenAI's Enterprise Identity stack, including SSO, SCIM, and tenant architecture. The candidate must lead highly available, latency-sensitive identity systems and establish shared identity primitives across products.
The Senior Support Engineer role involves collaborating with strategic enterprise accounts and product teams to resolve complex technical issues on the OpenAI API platform. Candidates must have a Bachelor's degree in Computer Science or a related field and 5+ years of experience in technical operations, monitoring, and incident response.
The Senior Support Engineer role involves collaborating with strategic enterprise accounts and product teams to resolve complex technical issues on the OpenAI API platform. Candidates must have 8+ years of experience in technical operations, strong software engineering skills, and expertise in monitoring, alerting, and incident response.
The Senior Support Engineer role involves collaborating with strategic enterprise accounts and product teams to resolve complex technical issues on the OpenAI API platform. Candidates must have 8+ years of experience in technical operations, strong software engineering foundations, and expertise in monitoring, alerting, and incident response.
The Senior Support Engineer role involves collaborating with strategic enterprise accounts and product teams to resolve complex technical issues on the OpenAI API platform. Candidates must have 8+ years of experience in technical operations, strong software engineering skills, and expertise in monitoring, alerting, and incident response.
The role is a Senior Technical Program Manager in the Security department responsible for driving cross-functional security, privacy, and compliance initiatives. Candidates must have 5+ years of experience leading complex technical programs and strong technical fluency in infrastructure security and regulatory expectations.
This role involves leading full-cycle searches for senior engineering leaders within OpenAI's Applied Foundations team. Candidates must have substantial technical recruiting experience and a track record of closing engineering leadership searches.
The Senior Technical Recruiter advises hiring managers and partners with senior leaders to drive key hires across engineering, AI, and technical domains. The role requires 8+ years of recruiting experience in highly technical fields and the ability to use data to improve hiring processes.
The Senior Technical Sourcer identifies and engages top-tier engineering talent across software, backend, and product engineering domains. The role requires 5+ years of technical sourcing experience, proficiency with LinkedIn Recruiter, and strong communication skills to build candidate pipelines.
The Service Design Program Manager role focuses on improving customer support experiences by owning projects from discovery through implementation. Candidates must have 8+ years of experience in service design and strong qualitative research skills to lead cross-functional initiatives.
The role involves shaping investigative workflows for OpenAI's Intelligence and Investigations team to improve case handling and tool usage. Candidates must have 8+ years of service design experience, a relevant degree, and strong qualitative research skills to lead cross-team workflow improvements.
The role involves leading signal integrity system design for AI supercomputers in data center applications. Candidates must have at least 10 years of industry experience in hardware system design and SerDes testing.
This role leads OpenAI's field delivery of civil, structural, and architectural construction for datacenter facilities. The position requires 8-10 years of experience in complex industrial site delivery and contractor management.
The Site Operations Technician supports daily operations of Industrial Compute campuses by performing routine inspections, coordinating vendors, and tracking assets. The role requires 2+ years of experience in data center or industrial operations and the ability to perform physical work in technical environments.
The SMB Innovation Sales & Strategy Lead identifies and scales new revenue opportunities across OpenAI's SMB Ads business. The role requires 8-10 years of experience in business incubation, growth, or strategy, with strong analytical and financial modeling skills.
The SoC Engineer role involves architecting and integrating OpenAI's first-party AI accelerators, including processors, interconnects, and I/O. Candidates must have experience in SoC architecture, RTL design, and silicon bring-up, with familiarity with Arm subsystems and PCIe.
The role involves building and operating reliable infrastructure for research workloads and critical research-facing systems. Candidates must reason about networking, bootstrapping, Kubernetes, scalability, automation, and reliability while writing software to improve these systems.
The role involves architecting and building backend systems to enforce data privacy and automate compliance at scale. Candidates must have 5+ years of experience and strong software engineering fundamentals in at least one major programming language.
This role involves evaluating and bringing up new compute platforms for large-scale AI training and inference. Candidates must prototype system software on new accelerators and optimize performance across AI workloads.
The role involves designing and building the creative rendering and presentation layer for OpenAI's ads ecosystem across multiple surfaces. Candidates must have 7+ years of experience building high-scale consumer product experiences and complex systems.
The role involves designing and building large-scale backend systems to detect and prevent abuse in OpenAI's ads ecosystem. Candidates must have significant experience with distributed systems and integrity or trust and safety domains.
The role involves building Ads Manager, a UI platform for advertisers to create and manage campaigns across OpenAI's ads ecosystem. Candidates must have 7+ years of experience in high-scale systems and proficiency in Python/FastAPI and TypeScript/React.
The role involves building and scaling infrastructure for training and deploying AI agents at OpenAI. Candidates need deep experience in large-scale machine learning infrastructure, virtualization, and containerization technologies.
The role involves building the low-level device runtime for OpenAI's custom AI accelerator to manage kernel launches, memory, and synchronization. Candidates need strong low-level systems programming experience and an understanding of concurrency, memory management, and hardware-software interfaces.
The role involves building research infrastructure and tooling to help OpenAI models design silicon. Candidates must have strong software engineering fundamentals and experience with reliable systems.
The role involves designing and implementing anti-abuse and content moderation infrastructure to protect users and ensure AI safety. Candidates must have experience building production services and strong technical skills in languages like Python, C++, Rust, or Go.
The role involves designing and building backend infrastructure for OpenAI's agent systems, including tools, memory, and orchestration. Candidates need 7+ years of backend experience and strong systems design skills.
This role is a backend software engineer position focused on building enterprise API capabilities for authentication, identity, and secure networking. Candidates must have 9+ years of experience in backend systems and strong product judgment to lead cross-functional initiatives.
This role involves building and operating backend services for the Responses API to deliver frontier model capabilities to developers. Candidates need 5+ years of experience in production backend services, distributed systems, and API design.
The role involves designing and operating cloud infrastructure and distributed services for OpenAI's API across CSP platforms. Candidates need 7+ years of experience in cloud infrastructure or distributed systems, with strong production coding and debugging skills.
This role involves building and operating developer-facing APIs and distributed systems for OpenAI's image, audio, and real-time model capabilities. Candidates must have 7+ years of experience in backend or infrastructure engineering and proficiency in languages such as Python, Go, Rust, or TypeScript.
This role involves designing and building dashboards, APIs, and scalable systems for safety controls and customer-facing observability. Candidates must have 7+ years of experience in backend or platform engineering and proficiency in languages like Python, Go, Rust, or TypeScript.
This role involves owning the development of new customer-facing ChatGPT and OpenAI API features end-to-end. Candidates must have a degree in a technical field, 0-1 years of experience, and proficiency with JavaScript, React, and Python.
The role involves designing, building, and maintaining backend services and APIs for Dots. Candidates need experience with production backend applications, API design, relational databases, and cloud infrastructure.
This role involves evolving OpenAI's build and continuous integration systems for a large engineering organization. Candidates must have 5+ years of experience and hands-on knowledge of Bazel, CI orchestration, and distributed infrastructure.
The role involves designing and operating OpenAI's multi-tenant caching platform for inference and product experiences. Candidates must have 5+ years of experience in distributed systems, with deep expertise in Redis, Memcached, and Kubernetes.
This role involves designing and maintaining backend systems for high-traffic ChatGPT experiences. Candidates must have 4+ years of experience building backend or distributed systems and strong proficiency in a general-purpose programming language.
The role involves designing and building infrastructure systems for ChatGPT to support high concurrency and fast iteration. Candidates must have experience with large-scale distributed systems and strong systems design fundamentals.
This role involves building full-stack product experiences for ChatGPT Shopping, combining frontend, backend, and AI-powered workflows. Candidates must have significant experience building consumer-facing products and strong systems thinking.
This role involves defining and building CI/CD systems to qualify frontier models and software for OpenAI's custom AI accelerators. Candidates must establish scalable pipelines, GitOps practices, and monorepo architectures to ensure correctness, performance, and stability across production releases.
The role involves designing and scaling cloud agent infrastructure for orchestration, sandboxing, and secure connectivity. Candidates need strong backend or infrastructure experience, with proficiency in languages like Python, Rust, or Go, and a solid understanding of distributed systems.
This role involves building and operating shared Kubernetes infrastructure for OpenAI's cloud platforms. Candidates must have at least five years of experience designing and operating core infrastructure systems.
This role involves building and operating shared cloud infrastructure platforms for Kubernetes clusters and multi-cloud environments. Candidates must have at least five years of experience designing and operating core infrastructure systems.
This role involves building infrastructure for Codex agents, focusing on sandboxed execution, orchestration, and stateful workflows. Engineers must design systems for safe code execution and optimize production performance metrics like latency and cost.
This role involves building end-to-end product features and scalable systems for OpenAI's Codex Security platform. Candidates must be strong full-stack engineers who can own ambiguous 0-to-1 projects across product, backend, and infrastructure.
The role is a backend or backend-leaning full-stack engineer position for Codex Enterprise, focusing on building scalable product capabilities for enterprise AI agents. Candidates must have deep backend experience, strong product judgment, and the ability to own projects from ambiguous exploration through launch.
The role involves designing and implementing custom networking collectives in C++ and CUDA for large-scale training jobs. Candidates should have a background in low-level performance-critical software and experience with distributed algorithms using RDMA.
This role involves building and operating storage infrastructure for OpenAI's research and production systems, focusing on object storage, cross-region data movement, and lifecycle management. Candidates must have experience with distributed systems, production code in Rust, and Kubernetes-based environments.
The role involves building distributed systems and Kubernetes-based control planes to manage OpenAI's GPU compute infrastructure. Candidates must design APIs and services for machine lifecycle management, provisioning, and recovery across heterogeneous hardware.
The role involves building and maintaining the Linux host software stack for large GPU clusters, including OS images, kernels, drivers, and provisioning. Candidates need deep experience in Linux systems, kernel development, and production-quality systems software.
This role involves building and optimizing reliable compute infrastructure for frontier AI, spanning distributed systems, Kubernetes, and high-performance networking. Candidates must demonstrate strong software engineering skills and experience operating production infrastructure systems.
The role involves owning the development of new products and platform capabilities for the Cooperative AI team. Candidates must have 4+ years of software engineering experience and strong fundamentals in backend, full-stack, or platform engineering.
The role involves designing and operating large-scale networking infrastructure for AI training and inference, focusing on host, datacenter, and WAN systems. Engineers must build automation and observability tools while optimizing performance across technologies like RDMA and InfiniBand.
The role involves designing and operating critical backend platforms such as caching systems, workflow orchestration, and metadata stores. Candidates should have experience with distributed systems, containerized services, and CI/CD workflows.
This role involves building and operating data infrastructure for large-scale compute and storage systems at OpenAI. Candidates must have experience with platforms like Spark, Kafka, or Iceberg and strong infrastructure tooling skills.
The role involves contributing to the core database engine for Rockset, focusing on ingestion, query execution, indexing, and storage. Candidates must have significant experience building and scaling distributed systems, with a strong focus on performance and reliability.
This role involves designing and building continuous deployment infrastructure for Kubernetes clusters and global regions. Candidates must have experience with CD platforms, GitOps tooling, and infrastructure-as-code to ensure safe and rapid production rollouts.
This role involves designing and building foundational systems to increase developer productivity and engineering velocity within the Engineering Acceleration team. Candidates must have 5+ years of engineering experience, including 3+ years building infrastructure tooling for developers, and be comfortable with ambiguity.
This role involves building developer productivity and CI/CD infrastructure for OpenAI's inference runtime teams. The engineer will improve deploy gate validation, release automation, and observability to ensure reliable model deployments.
The role is an experienced backend software engineer position based in San Francisco, focused on building permissions, governance, and administration systems for OpenAI products. Candidates must have 9+ years of backend experience, strong product judgment, and proficiency in languages such as Python, Go, or Rust.
This role is a full-stack product engineer position within the Enterprise Verticals team, focused on building role-specific ChatGPT Work experiences for technology companies. The engineer will own ambiguous enterprise workflows end to end, including frontend and backend development, platform integration, and quality instrumentation.
The role involves architecting and building production backend systems for OpenAI's financial engineering, including pricing, checkout, and billing. Candidates must have 5+ years of experience in distributed systems and strong fundamentals in API design and data modeling.
This role supports OpenAI's fleet infrastructure team by designing and operating systems for GPU scheduling, cluster management, and model deployment. Candidates need strong programming skills and experience with hyperscale compute, public clouds, and Kubernetes.
The Software Engineer, Fleet Management role focuses on building systems to manage cloud and bare-metal fleets, integrating hardware metrics with job scheduling. Candidates need strong software engineering skills and broad knowledge of cluster-level systems such as Kubernetes and cloud providers.
The role involves building and scaling retrieval infrastructure, including indexing systems, pipelines, and serving layers, to support model interaction. Candidates must have experience with distributed systems, search or retrieval technologies, and production reliability.
This role involves developing system-level software solutions to optimize power usage and ensure reliability in large-scale supercomputers. Candidates must have 7+ years of software engineering experience, proficiency in Python, and knowledge of distributed systems and electrical engineering concepts.
This role involves building full-stack software and agents for HR, culture, and recruiting products within OpenAI's People Innovation Labs. Candidates must have 5+ years of engineering experience and proficiency with Python, JavaScript, and PostgreSQL.
The role involves building full-stack features for personal AI agents, including web interfaces, APIs, and backend services. Candidates must have significant experience shipping products across frontend and backend systems with strong product instincts.
The role involves building full-stack systems for experimentation, feature rollout, and analytics within OpenAI's Statsig team. Candidates must have strong full-stack engineering judgment and experience with frontend, backend, SDK, and infrastructure development.
The role involves building infrastructure to qualify and optimize inference workloads across heterogeneous compute environments. Candidates must have strong experience in distributed systems, production services, and proficiency in systems-oriented languages like Python, C++, Go, or Rust.
This role involves maintaining the reliability and uptime of OpenAI's large-scale compute fleet and supercomputing infrastructure. Candidates must build automation for server management and possess strong Linux, networking, and Python or Go skills.
The role involves building AI-powered full-stack products for GTM Growth Engineering to improve sales and marketing workflows. Candidates must have 4+ years of experience and strong product judgment to ship user-facing applications.
This role involves designing and operating Habitat, a full-stack database platform for OpenAI's online user data. Candidates must have 8+ years of experience, with 3+ years leading large-scale projects, and proficiency in Rust or Python.
This role involves building infrastructure to maintain the health of OpenAI's global compute fleet across GPUs, CPUs, and networking. Engineers will define health signals, build automated remediation systems, and own node lifecycle workflows to minimize downtime.
The role involves designing and building backend and full-stack systems for OpenAI's healthcare products, including APIs and integrations with electronic health records. Candidates must have 5+ years of experience and strong skills in distributed systems, security, and production reliability.
The role involves building and operating production services for host trust, machine identity, and secure bootstrap across bare-metal and VM environments. Candidates must have strong software engineering experience in distributed systems, operating systems, or infrastructure security, with the ability to reason across hardware and software boundaries.
This role involves designing and implementing security-critical software and firmware for HSMs and hardware roots of trust. Candidates must have 5+ years of experience building secure embedded firmware and deep programming experience in C, C++, or Rust.
This role involves designing and implementing security-critical software and firmware for HSMs and hardware roots of trust. Candidates must have 5+ years of experience building secure embedded firmware and deep programming experience in C, C++, or Rust.
The role involves designing and building high-scale secure access proxies and distributed systems for OpenAI's identity infrastructure. Candidates must have production backend experience, practical networking depth, and strong software engineering fundamentals in languages like Go or Rust.
The role involves building and evolving a classification and evaluation platform for machine learning models. Candidates must design software services, operate pipelines, and improve model-serving performance while owning production reliability.
The role involves designing and implementing inference infrastructure for large-scale multimodal models at OpenAI. Candidates must optimize systems for high-throughput, low-latency delivery of image and audio workloads.
The role involves modeling inference performance across application, model, and fleet layers to build cost-to-serve estimates. Candidates must analyze workloads end-to-end and enhance tooling to identify bottlenecks for latency and throughput.
The role involves leading the design and implementation of systems for infrastructure cost and efficiency at OpenAI. Candidates must have over 7 years of experience building production software and distributed systems, with specific expertise in infrastructure economics, usage metering, and cost attribution.
This role involves owning critical distributed systems for research analytics, including ingestion, storage, and query infrastructure. Candidates must have experience with high-performance languages like Rust or C++ and expertise in areas such as distributed databases or storage engines.
This role involves building and scaling the foundational systems behind OpenAI's experimentation and rollout platform, including distributed control planes and data ingestion pipelines. Candidates must have experience with large-scale distributed systems, low-latency configuration delivery, and high-throughput analytics infrastructure.
The role involves designing and building production-grade security services such as authentication systems and key management platforms for OpenAI's infrastructure. Candidates must have strong software engineering skills in languages like Python or Go and experience securing large-scale cloud platforms.
This role involves developing systems to detect and prevent abuse, such as financial fraud and botting, within OpenAI's platform. Candidates must have at least three years of professional software engineering experience and experience with production backend services and data pipelines.
The role involves building and maintaining backend services and automated pipelines for sharing model weights, configurations, and code with partners. Candidates must have strong Python skills and experience taking backend projects from design through production.
This role involves developing AI-assisted tooling and workflows to optimize production kernels and advance hardware-software co-design. Candidates need strong systems engineering experience with depth in kernel development, performance optimization, and low-level software.
The role is an individual contributor position for a full-stack product engineer with strong backend skills on the Life Sciences team. The engineer will design backend services and interfaces to connect scientists with AI capabilities and laboratory workflows.
This role involves building and scaling OpenAI's localization and internationalization platform, including AI-powered translation pipelines and developer tools. Candidates need strong backend or full-stack software engineering experience with familiarity with Java, React, MySQL, and cloud infrastructure.
This role involves designing and maintaining software infrastructure for manufacturing, qualifying, and delivering OpenAI's first-party hardware. Candidates must have 7+ years of experience in system software and hardware diagnostics, with strong skills in C, C++, or Rust.
The role involves building responsive and accessible mobile web interfaces for Dots' personal AI agents. Candidates must have substantial experience shipping polished web applications with deep expertise in mobile web development and browser behavior.
The role involves designing and developing systems for model deployment orchestration, configuration management, and operational automation within ChatGPT's infrastructure. Candidates must have five or more years of experience building production infrastructure and strong programming skills in languages such as Go, Python, C++, or Rust.
This role involves optimizing AI models for high-volume, low-latency production and research environments. Candidates must have at least 5 years of software engineering experience and expertise in PyTorch, NVidia GPUs, and distributed systems.
The role involves building the model runtime for the inference engine on OpenAI's custom silicon. Candidates must design and implement LLM inference runtimes, focusing on scheduling, memory management, and distributed execution.
The role involves architecting and implementing distributed systems for OpenAI's monetization and ads infrastructure. Candidates must have 10+ years of experience building large-scale systems with strict reliability and privacy requirements.
The role involves designing and building machine learning infrastructure for OpenAI's monetization and ads systems. Candidates must have 7+ years of experience in large-scale distributed systems and ML workflows.
The role involves designing and building core monetization and ads infrastructure, including advertiser-facing APIs and distributed systems. Candidates must have 7+ years of experience architecting high-scale systems and working across the full technical stack.
This role involves building end-to-end full-stack learning experiences for AI products in an early-stage 0-1 environment. Candidates must have 5+ years of software engineering experience with strong full-stack skills and product ownership.
The role involves building OpenAI's observability product, including scalable infrastructure for logs and metrics and AI-powered UI tools. Candidates must have experience operating large-scale distributed systems and strong fundamentals in systems, networking, and cloud infrastructure.
The role involves providing technical leadership and building backend systems for OpenAI's Presence platform, which supports reliable AI agents for enterprise workflows. Candidates must have 9+ years of backend experience, strong systems design skills, and the ability to guide architectural decisions while maintaining hands-on implementation.
The role involves designing and building distributed failure detection, tracing, and profiling systems for large-scale AI training jobs. Candidates must have experience with low-level software, distributed systems, and high-performance computing to improve observability and reliability.
The role involves designing and building distributed failure detection, tracing, and profiling systems for large-scale AI training jobs. Candidates must have experience with low-level software, distributed systems, and high-performance computing to improve observability and reliability.
The role involves designing and shipping APIs, SDKs, and services for the Plugin Developer Platform to extend ChatGPT and Codex. Candidates must have experience building developer-facing software and be comfortable working across web interfaces and backend systems.
The role involves building systems for the ChatGPT and Codex plugin ecosystem, including APIs, SDKs, and user experiences. Candidates must design reliable infrastructure, improve model-plugin interactions, and implement permissions and admin controls.
The role involves designing and maintaining backend systems for privacy and data compliance at OpenAI. Candidates must have experience building data pipelines and working with legal teams to handle sensitive user data.
The role involves defining technical strategy and architecture for user data governance across OpenAI. It requires designing shared services, APIs, and policy-enforcement mechanisms to make data flows discoverable and policies enforceable.
The role involves building backend systems and data pipelines for lawful data access requests and legal operations. Candidates must have strong backend engineering fundamentals and experience with production services or data-intensive systems.
The role involves building backend systems and data pipelines for lawful data access requests and legal operations. Candidates must have strong backend engineering fundamentals and experience with production services or data-intensive systems.
This role involves designing and building privacy features and infrastructure for ChatGPT, the API, and consumer devices. Candidates must have 5+ years of software engineering experience and expertise in confidential computing, encryption, and Kubernetes.
The role involves designing and operating backend services, APIs, and runtime primitives for persistent agents. Candidates need strong product infrastructure experience, distributed systems fundamentals, and 7+ years of professional software engineering experience.
The role involves improving ChatGPT development infrastructure, including build systems, CI, and deployment pipelines to increase reliability and speed. Candidates must have strong experience with large-scale developer infrastructure and distributed systems.
The role involves building full-stack systems for feedback collection, data labeling, and evaluation pipelines to support AI model alignment. Candidates must have strong software engineering fundamentals and experience building production systems at scale.
The role involves building and maintaining systems for reliable, high-velocity development, testing, and deployment within OpenAI's research organization. Candidates must be proficient in Python, Rust, and C++, with experience in large monorepos, Docker, Kubernetes, and CI/CD.
This role involves designing and maintaining scalable, reliable infrastructure for OpenAI's systems, including load testing and resource lifecycle management. Candidates must have experience with cloud infrastructure, Kubernetes, and observability tools to ensure system performance and safety.
The role involves building full-stack internal tools for OpenAI's Safety Systems team to improve model safety and reliability. Candidates must have 5+ years of engineering experience and proficiency in JavaScript, React, and Python.
The role involves designing and building backend and data systems for fraud detection and remediation within OpenAI's Scaled Abuse team. Candidates must have at least five years of software engineering experience in backend and data systems, plus at least two years in fraud or abuse analysis.
This role involves designing and operating large-scale distributed systems for search infrastructure at ChatGPT scale. Candidates must have significant experience in distributed systems and strong programming skills to improve latency, reliability, and efficiency.
The role involves building secure, scalable systems and data pipelines to enhance security observability infrastructure. Candidates need strong software engineering experience, proficiency in Python or Golang, and knowledge of infrastructure as code and cloud platforms.
The role involves designing and building systems to ingest, index, and serve merchant product feeds for ads in ChatGPT. Candidates must have extensive experience with large-scale distributed systems, ads retrieval, and ranking infrastructure.
The role involves leading the optimization of OpenAI's frontier models on TPUs, with ownership of performance across the full forward pass. Candidates must have practical experience optimizing machine learning workloads on TPUs and strong software engineering skills for profiling and kernel development.
The role involves building and operating networking and traffic infrastructure for OpenAI's products across clouds and regions. Candidates need 5+ years of experience in production infrastructure or distributed systems, with depth in areas like cloud networking, Kubernetes, or load balancing.
This role involves enabling production workloads and end-to-end testing on new platforms by creating test harnesses and stress benchmarks. The position requires porting inference and training workloads to new hardware and analyzing performance bottlenecks across compute, networking, and storage systems.
The role involves architecting and building foundational systems for family- and youth-facing experiences at scale, including identity primitives and age assurance pipelines. Candidates must have experience with identity platforms, regulatory complexity, and building products for users under 18.
The role involves defining the security architecture for OpenAI's next-generation operating system, including trust boundaries and hardware-backed protections. Candidates must have deep experience securing operating systems, kernels, or privileged systems software and a complex understanding of OS internals.
The role involves partnering with advertisers to provide technical expertise for evaluating, launching, and scaling on OpenAI's advertising platform. Candidates must have 5+ years of experience in solutions engineering or adtech, with hands-on knowledge of digital advertising measurement, pixels, and APIs.
The role involves partnering with advertisers to provide technical expertise for evaluating, launching, and scaling on OpenAI's advertising platform. Candidates must have 5+ years of experience in solutions engineering or adtech, with hands-on knowledge of digital advertising measurement, pixels, and APIs.
The Senior Integrations Engineer designs and builds integrations connecting OpenAI's supply chain systems, ERP, and external partners. The role requires 10+ years of experience, proficiency in Python and integration platforms, and expertise in API and EDI development.
This role involves architecting and building backend systems for payments, billing, and subscriptions to support OpenAI's product portfolio. Candidates must have Staff-level experience in distributed systems, with a focus on reliability, state synchronization, and technical leadership.
This role involves building and owning the technical architecture for NX and Teamcenter within OpenAI's new Consumer Devices team. The engineer will focus on automating workflows, managing product data, and integrating engineering applications to support hardware development.
The Strategic Delivery Lead (Cyber) identifies and delivers high-impact AI deployments for U.S. national security and cyber missions. The role requires 10+ years of experience in cybersecurity or program management, an active U.S. Government TS/SCI clearance, and the ability to manage cross-functional technical teams.
This role leads high-impact AI engagements for federal civilian and state/local government customers, coordinating delivery, adoption, and customer outcomes. It requires 10+ years of experience in complex technical programs, government delivery, and transformation initiatives, with strong program management and technical fluency.
The Strategic Finance Generalist supports OpenAI's long-term goals by driving strategic decisions in transactions, capital markets, and business initiatives. The role requires 8+ years of experience in finance or consulting, strong communication skills, and the ability to distill complex financial data into actionable insights.
This role requires a hands-on finance leader with direct experience supporting silicon design or semiconductor development programs. The candidate will own financial models, forecasts, and deal analysis to translate technical milestones into business decisions.
This role is a senior strategic finance partner for OpenAI's Ads business, responsible for financial planning, forecasting, and performance management. Candidates need 8+ years of experience in finance or consulting, 2+ years in Ads Finance, and strong analytical and modeling skills.
This role supports OpenAI's Compute & Infrastructure Strategy team by driving FP&A functions, financial modeling, and investment analysis for the compute portfolio. Candidates must have 7+ years of finance and strategy experience in a high-growth tech company, with strong skills in financial modeling and capacity planning.
This role involves partnering with Product and GTM leaders to incubate and launch new B2B products at OpenAI. The position requires evaluating commercial viability, developing forecasts, and building financial foundations for product scaling.
This role is a senior Strategic Finance business partner supporting the Workloads team to improve model inference efficiency and compute economics. Candidates need 8-10+ years of experience in strategic finance or consulting, along with strong analytical and communication skills.
The Strategic Sourcing Lead owns and executes OpenAI's category strategy for Professional Services, managing complex workstreams and senior stakeholder partnerships. The role requires 8+ years of progressive experience in strategic sourcing, procurement, or category management with significant depth in Professional Services.
This role leads the Professional Services sourcing team at OpenAI, managing a broad portfolio of strategic advisory relationships and high-volume statements of work. Candidates must have 10+ years of strategic sourcing experience and 5+ years of people leadership, with expertise in complex services negotiations and commercial strategy.
The Strategic Sourcing Manager leads global sourcing and supplier engagements for AI compute infrastructure, including servers, accelerators, and power delivery components. The role requires 10+ years of experience in strategic sourcing, vendor management, and high-performance compute supply chains.
The Strategic Sourcing Manager leads commercial strategies and supplier negotiations for data center infrastructure systems supporting OpenAI's Industrial Compute campuses. The role requires 8+ years of experience in strategic sourcing, procurement, or infrastructure supply chain management, along with a Bachelor's degree in a related field.
The Strategic Sourcing Manager leads commercial strategies and supplier negotiations for data center infrastructure systems supporting OpenAI's Industrial Compute campuses. The role requires 8+ years of experience in strategic sourcing, procurement, or infrastructure supply chain management, along with a Bachelor's degree in a related field.
The Strategic Sourcing Manager leads commercial strategies and supplier negotiations for data center infrastructure systems supporting OpenAI's Industrial Compute campuses. The role requires 8+ years of experience in strategic sourcing, procurement, or infrastructure supply chain management, along with a Bachelor's degree in a related field.
This role involves personally leading complex, high-value technology negotiations for OpenAI's Strategic Sourcing team, focusing on data platforms and infrastructure. Candidates must have 10+ years of experience in strategic sourcing or technology procurement and possess strong executive credibility.
The Strategy & Operations Lead in Tokyo will translate global strategy into regional execution and scale operational excellence across Japan. The role requires significant experience leading regional operations, building scalable processes, and mentoring high-performing teams.
The Strategy & Operations Lead in Seoul will lead operational excellence and translate global strategy into regional execution for OpenAI's Korea business. The role requires significant experience in regional operations, building scalable systems, and strong cross-functional leadership.
The Strategy & Operations Lead will scale operational excellence across South East Asia & ANZ, reporting to the regional VP. The role requires significant experience leading regional operations, building scalable systems, and driving cross-functional execution.
This role involves driving strategic and operational initiatives to scale and optimize OpenAI's customer support organization. Candidates must have 8+ years of experience in operations, strategy, and consulting, with at least 5 years leading customer-facing operations in a technical environment.
This role serves as a strategic and operational partner to the Creative Partnerships leadership team, translating priorities into clear plans and operating rhythms. The position requires 10+ years of experience in strategy, operations, or consulting, with strong financial fluency and the ability to lead cross-functional initiatives.
The Supply Chain Manager leads strategic execution across sourcing, supplier operations, manufacturing quality, and infrastructure delivery for OpenAI's AI infrastructure portfolio. The role requires 10+ years of experience leading technical supply chain organizations and managing multidisciplinary teams to ensure rapid, reliable infrastructure deployment.
This role serves as the single-threaded operational leader for new hardware introductions and production ramps across OpenAI's AI infrastructure systems. The position requires 8+ years of experience in operations or program management within hardware development, with a focus on cross-functional alignment and supply chain execution.
The Supply Chain Program Manager role owns material readiness and supply chain execution for AI hardware programs, including custom silicon and memory. Candidates require a bachelor's degree and 8+ years of experience in supply chain or hardware program management.
This role leads the Support Engineering team to resolve complex technical issues for OpenAI's strategic enterprise customers. The candidate must have 10+ years in technical support or software engineering and 5+ years leading technical teams.
This role leads a technical support team for OpenAI's government customers, focusing on complex issue resolution and compliance. Candidates need 12+ years of technical experience and 6+ years leading teams in security-sensitive environments.
The Support Operations Manager role involves leading service health, automation programs, and partner management to scale support operations. Candidates must have 10+ years of experience in support operations and 4+ years leading senior individual contributors.
This role leads support readiness and operational programs for OpenAI's cloud and strategic partnerships. The position requires 8+ years of experience in program management or support operations, along with the ability to translate technical requirements into scalable support models.
The Support Vendor Manager role involves owning the health and scalability of multiple support partner and vendor relationships. Candidates must have 5+ years of experience in vendor or BPO operations management and strong analytical skills.
The Support Vendor Manager role in Singapore oversees multiple support partner and vendor relationships, focusing on SLAs, QBRs, and operational scalability. Candidates require 5+ years in vendor or BPO operations management and strong analytical skills for performance governance.
The System Performance Engineer profiles, benchmarks, and optimizes performance across OpenAI's embedded hardware products. The role requires deep expertise in embedded or high-performance systems, strong operating systems fundamentals, and hands-on experience debugging under tight latency, power, and memory constraints.
The role involves designing, implementing, and debugging core platform components and system image pipelines for consumer devices. Candidates must be proficient in C/C++, scripting languages, and OS internals, with strong systems debugging and performance optimization skills.
This role leads improvements in recruiting processes, systems, and enablement at OpenAI. Candidates need 5+ years in recruiting operations or HR systems, with strong ATS administration experience and stakeholder partnership skills.
The role involves designing and building an automated inference optimization platform for OpenAI's GPT Infrastructure team. Candidates must have 8+ years of experience in distributed systems and strong programming skills in C++, Python, Go, or Rust.
The Systems Integration Manager leads a team building device validation infrastructure, test automation, and lab operations for consumer hardware. The role requires strong technical judgment, people leadership, and experience with complex hardware-software systems.
The role involves designing and building low-level system software for OpenAI's first-party AI hardware management and health. Candidates must have 7+ years of experience in low-level system software, firmware, or BMC, with strong skills in C, C++, or Rust.
The role involves owning the end-to-end security foundation for OpenAI's first-party AI hardware systems, including hardware, embedded, and system security. Candidates must have 7+ years of experience in hardware or embedded security and proficiency in C, C++, or Rust.
This role involves developing systems software strategy to bring new AI silicon from first power-on to fully integrated production systems. Candidates must define test coverage for compute, memory, and I/O subsystems while building diagnostics and automation for validation.
The Systems Test Engineer designs and executes end-to-end testing for complex hardware-software products, including connectivity and cloud services. The role requires experience with system-level validation, failure diagnosis, and test automation to build reliable product signals.
The Tax Director advises on OpenAI's global tax strategy and supports international expansion by partnering with Legal, Finance, and Commercial teams on cross-border planning and transactions. The role requires 12+ years of international tax experience, a J.D., and deep expertise in US international tax, transfer pricing, and global operating model design.
This role involves leading a team of three senior full-stack engineers to build AI-native learning experiences for ChatGPT Education. The position requires hands-on technical execution, people management, and product strategy for education-specific AI workflows.
This role leads deployment and operations for OpenAI's custom silicon and systems in data center environments. The candidate must have 8+ years of experience in hardware systems, infrastructure, or production operations and strong technical depth in deployment or reliability engineering.
This senior leader role owns technical accounting for Ads revenue, including policy development, governance, and operational execution. The position requires 10+ years of revenue accounting experience, deep ASC 606 expertise, and the ability to build 0-to-1 processes in a fast-changing environment.
This role involves owning dataset infrastructure for OpenAI's training runtime, focusing on APIs, storage contracts, and reliability for large-scale model training. Candidates must have hands-on experience with distributed systems, data loading, and production code in Python or lower-level languages.
The Technical Program Manager owns actuator development and integration from system goals through production readiness. The role requires experience leading complex electromechanical hardware programs and coordinating across mechanical, electrical, firmware, and manufacturing teams.
This role involves leading complex technical programs for AI safety and safeguards across ChatGPT, API, and enterprise environments. Candidates must have strong technical judgment, program management discipline, and experience coordinating cross-functional teams to deliver high-impact safety initiatives.
The role involves driving complex, large-scale product and platform initiatives across ChatGPT and the API platform. Candidates must have 10-15+ years of experience in technical programs and strong technical acumen in API development and scalable systems.
The Technical Program Manager role leads critical infrastructure programs for OpenAI's Applied organization, focusing on compute capacity planning and cost optimization. Candidates must have 7+ years of experience managing large-scale technical infrastructure and cloud provider relationships.
This role involves leading end-to-end execution for major cloud partner programs, including model deployment, product integration, and launch readiness. Candidates must have substantial technical program management experience and a track record of owning complex programs across internal and external teams.
The Technical Program Manager role focuses on improving developer velocity and deployment excellence across ChatGPT by leading improvements to local development, CI, testing, and release systems. Candidates must have experience leading complex technical programs in developer infrastructure and CI/CD, with strong skills in aligning cross-functional teams and using data to drive measurable improvements in engineering efficiency.
This role leads technical strategy and execution for OpenAI's enterprise products and shared platform capabilities. It requires deep technical fluency, strong product judgment, and experience leading complex technical programs across enterprise software or AI systems.
The role involves leading the planning and execution of global Applied AI Engineering programs, managing milestones, dependencies, and risks across regions. Candidates must have 10+ years of technology experience with a track record in technical program management and strong technical fluency in AI and cloud platforms.
This role involves owning the systems, data, and reporting backbone for Infrastructure Operations at OpenAI. The candidate must have 8+ years of experience in technical program management and lead end-to-end software implementations.
This role involves managing end-to-end lab strategy and developing new lab facilities to support OpenAI's hardware roadmap. Candidates must have experience leading high-power lab or datacenter design programs and possess knowledge of data center infrastructure and product development processes.
The Technical Program Manager leads capacity forecasting and model deployment programs for ChatGPT infrastructure. The role requires technical depth, cross-functional coordination, and the ability to build scalable operating mechanisms for constrained-capacity decisions.
The Technical Program Manager, Robotics Infrastructure role serves as the Robotics point-of-contact for cross-functional partners supporting the design and construction of Robotics sites. The position requires consolidating requirements, coordinating technical inputs, and managing dependencies across planning, design, and construction phases.
This role involves independently defining and leading multiple programs across data platforms, online databases, and storage infrastructure at OpenAI. The position requires translating model and product needs into precise platform requirements and partnering with engineering to take new capabilities through production adoption.
This role involves managing safety governance and risk mitigation for OpenAI's frontier models, ChatGPT, and API. The TPM must synthesize stakeholder inputs, track safety research, and execute a compute roadmap to ensure safe model deployment.
The Technical Program Manager role leads support delivery programs and operational frameworks for OpenAI's Senior Support Engineering team. Candidates must have 8+ years of experience in program management or support engineering and demonstrate skills in building scalable tools and automation.
The Technical Recruiter role involves advising hiring managers and partnering with senior leaders to drive key hires across engineering and AI domains. Candidates must have 8+ years of progressive recruiting experience in high-growth tech environments and proven success in competitive technical talent markets.
This role involves driving strategy and execution for CRM systems across Salesforce and adjacent platforms to operationalize scalable workflows. The ideal candidate has 8+ years of experience in technical program management and strong technical fluency in APIs and enterprise SaaS ecosystems.
The Technical Threat Investigator role involves conducting independent, end-to-end investigations into sophisticated threat actors and model misuse. Candidates must possess experience in threat intelligence or incident response, along with strong scripting and automation skills to build investigative tooling.
The role is an APAC Total Rewards Business Partner based in Singapore, responsible for leading compensation initiatives and regional benefits execution. The position requires 10+ years of Total Rewards experience, strong APAC market knowledge, and the ability to partner with cross-functional teams to design and manage compensation and benefits programs.
The role involves developing the distributed runtime that orchestrates large-scale machine learning training workloads across massive clusters. Candidates must build high-performance asynchronous systems in Rust and Python, with a focus on reliability, observability, and performance optimization.
The Training Performance Engineer role focuses on optimizing distributed machine-learning training runtimes to improve throughput and uptime. Candidates must analyze large-scale training runs, profile performance bottlenecks, and design optimizations for GPU utilization and collective communication.
The role involves improving training throughput for an internal machine learning framework and enabling researchers to experiment with new ideas. Candidates must have strong software engineering skills, proficiency in Python, and experience running small-scale ML experiments.
This role involves owning complex Ads Trust & Safety programs from problem framing through scaled operation at OpenAI. Candidates must have 8+ years of experience in program management or operations and strong cross-functional coordination skills.
This role is a senior operations leader position responsible for owning the Trusted Access operating strategy and leading a team of risk-operations specialists. The candidate must have formal people management experience and the ability to build customer access services while coordinating with technical and regional teams.
The role involves owning and improving the customer access workflow for a Trusted Access program, including eligibility review, approvals, and provisioning. Candidates must investigate complex cases, drive escalations to resolution, and implement product or automation improvements based on operational data.
The US Congressional Lead develops strategies and manages relationships with House and Senate lawmakers to advance OpenAI's engagement with the U.S. Congress. The role requires substantial Capitol Hill experience, strong bipartisan relationships, and an understanding of AI-related legislative and regulatory issues.
The U.S. External Affairs Associate role supports OpenAI's engagement with civil society, researchers, and policy stakeholders in Washington, DC. The position requires experience in technology policy, stakeholder relationship building, and cross-functional coordination to design engagement strategies and translate external feedback into actionable insights.
This role involves managing high-priority user safety and risk escalations for OpenAI's global products. Candidates must have 5+ years of experience in trust and safety operations and be comfortable with rotating 24/7 shifts.
The Value Engineer role quantifies the business value of OpenAI technology for Enterprise, Education, and Government customers. Candidates must have 6-10 years of experience in value engineering or consulting, with strong financial modeling and executive communication skills.
The Value Engineer role quantifies the business value of OpenAI technology for Enterprise, Education, and Government customers. Candidates must have 6-10 years of experience in value engineering or consulting, with strong financial modeling and executive communication skills.
The VC Partnerships Manager manages relationships with venture capital funds and accelerators to support OpenAI's startup customers. The role requires 10+ years of experience managing high-value external relationships and technical understanding of AI technologies.
The role involves independently leading vendor security engagements and building reusable tools to manage third-party risks. Candidates must assess security architectures, apply frameworks like ISO 27001, and use AI-assisted tools to improve workflows.
The Web Strategist Lead shapes the customer journey across openai.com by defining audience paths and connecting navigation, content, and storytelling. The role requires 10+ years of experience in web strategy, digital experience, or product strategy, with a focus on B2B technology websites and complex information architecture.
The Workday Engineer role involves designing, building, and operating systems that power critical people workflows at OpenAI. Candidates must combine strong Workday expertise with engineering fluency to build integrations, automate workflows, and improve system architecture.
The role involves building local talent for data center construction, commissioning, and operations by partnering with education providers and infrastructure teams. Candidates need seven or more years of experience in workforce development, technical education, or education-industry partnerships, along with a bachelor's degree in a related field.
The Electronics Engineer role involves designing and implementing electronic systems for robotics platforms, including BLDC motor control and power boards. Candidates must have a Bachelor's degree in Electrical Engineering and at least four years of experience in motor control and power board design.
PAL Robotics is seeking a talented team player for its Information Technology department in Barcelona, Spain. The role involves contributing to the development of humanoid service robots within a multidisciplinary engineering team.
The role is a Full Stack Recruiter in San Francisco responsible for owning high-impact searches across research and engineering. Candidates must have 6+ years of recruiting top talent and demonstrate analytical rigor and creative sourcing approaches.
The Annotations Portfolio Lead owns end-to-end performance for a portfolio of annotation programs, partnering with researchers to define requirements and drive operational efficiency. The role requires 5+ years of experience in program management or operations, along with strong problem-solving and communication skills.
The Applied Researcher role involves deploying and debugging learned policies on physical robots while training and tuning models to improve real-world performance. Candidates must have hands-on experience with autonomous systems, strong Python engineering skills, and the ability to debug the full stack from perception to control.
The Build & Release Engineer role owns GitHub-based CI/CD pipelines, Bazel build systems, and Kubernetes infrastructure to improve developer productivity and reliability. Candidates must have strong experience with CI/CD, Bazel, cloud infrastructure, and Kubernetes.
This role involves owning cross-functional projects and driving data, compute, and infrastructure partnerships for Physical Intelligence. Candidates must demonstrate strong analytical instincts, commercial fluency, and the ability to operate independently in ambiguous environments.
The Controls Engineer designs and implements algorithms to make robots behave predictably and safely under uncertain conditions. The role requires proficiency in Python and C++, along with deep understanding of model-based control algorithms and real-time loops.
The Robotics Software Engineer role involves building and optimizing systems for deploying robots in the real world, including teleoperation interfaces and low-latency network performance. Candidates must have strong programming skills in C++, Rust, or Python, along with experience in real-time systems and performance optimization.
The Embedded Engineer role focuses on driving the architecture and implementation of embedded firmware for Physical Intelligence's data collection devices. Candidates must have strong software engineering skills, hands-on hardware experience, and proficiency in C++ to lead board bring-up and system integration.
The Environment Coordinator plans and buys supplies for the Set + Props team while directing daily operations. The role requires 2+ years of experience in purchasing, inventory, or production operations, along with the ability to lift 40 lbs.
The Environment Manager leads a full-time hourly team across multiple shifts and manages contractors to support research and production operations. The role requires 3+ years managing frontline teams and experience with California wage and hour rules.
The Environment Specialist role involves auditing workspaces, preparing and staging supplies, and logging inventory for Physical Intelligence's operations. Candidates must have at least one year of experience in retail, warehouse, or facilities work and be available for various shifts.
The Forward Deployed Robotics Engineer role involves triaging and resolving technical issues for a fleet of robotic systems in warehouse and data-collection environments. Candidates must have at least two years of experience debugging electromechanical systems and strong hardware and software diagnostic skills.
The General Manager of Research Operations leads a large team responsible for data collection, evaluation, and deployment for physical AI. The role requires 7+ years of experience managing high-output operations teams and developing managers in a fast-changing technical environment.
The Lead Security Engineer secures models, data, infrastructure, and compute for Physical Intelligence. The role requires strong programming skills in Python or Go, cloud infrastructure experience, and hands-on offensive security expertise.
The Learning & Development Lead owns training and readiness for Physical Intelligence's robot operator workforce, designing systems to take new operators from candidate trials through their first 30-60 days. The role requires experience building structured ramp programs for hourly or frontline employees and the ability to translate complex technical workflows into simple, repeatable learning processes.
The Manufacturing Lead role involves scaling robotic systems from prototype to production by owning processes, tooling, and supply chain coordination. Candidates must have a bachelor's degree in engineering and 5+ years of manufacturing experience, with required proficiency in CAD, GD&T, and NPI.
The role involves driving the integration and development of robotic systems, owning the full mechanical design lifecycle from concept to high-volume production. Candidates must have 7+ years of hardware experience, a bachelor's degree in mechanical or aerospace engineering, and expertise in mechatronic systems and high-volume manufacturing processes.
This role involves designing, building, and testing robotic subsystems for data collection and model training operations. Candidates must have mechanical or mechatronics engineering fundamentals, CAD proficiency, and experience with embedded systems and prototyping.
The ML Engineer, Platform role involves building Pi's model API end-to-end, including data ingestion, fine-tuning, evaluation, and low-latency inference. Candidates must have strong backend and systems experience, with a focus on building and scaling developer platforms and production infrastructure.
The ML Infra Engineer (Data Systems) role involves building and operating data infrastructure for large-scale robot learning. Candidates must have strong software engineering fundamentals and experience with distributed systems or large-scale data pipelines.
The ML Infra Engineer, Modeling role focuses on scaling and optimizing training systems and core model code for large-scale JAX-based training. Candidates must have strong software engineering fundamentals and experience building ML training infrastructure, with hands-on experience in JAX or PyTorch.
The ML Infra Engineer, Platform role involves owning and scaling AI-native infrastructure, including Kubernetes clusters and microservice platforms, for Physical Intelligence. Candidates must have deep experience with cloud platforms, distributed systems, and infrastructure-as-code to support secure, observable, and cost-aware deployments.
The role involves leading end-to-end program execution for hardware platforms, including build planning, material forecasting, and vendor coordination. Candidates must have a bachelor's degree in engineering and at least three years of experience in operations, supply chain, or engineering program management.
This role involves managing end-to-end HR operations, including onboarding, payroll, benefits, and compliance within the People team. Candidates must have 3-5 years of California HR operations experience and fluency in Rippling.
The Production Test Lead role involves building the software foundation for manufacturing robotic systems at increasing volume. The position requires owning manufacturing software architecture and creating technician-friendly workflows for firmware flashing, provisioning, and calibration.
The Prototype Engineer role involves rapidly designing and building mechanical, electrical, and sensor prototypes to support research and hardware development. Candidates must have a bachelor's degree in engineering and 2-5 years of experience in prototyping or R&D, with proficiency in CAD, PCB design, and rapid prototyping methods.
The Hardware Recruiter role involves owning end-to-end searches for mechanical, electrical, firmware, and manufacturing talent at Physical Intelligence. Candidates must have 6+ years of full-cycle recruiting experience with a strong focus on hardware roles and physical product companies.
The Operations Recruiter role focuses on building a high-volume hiring engine for Robot Operator and related site-based positions in San Francisco. Candidates must have experience recruiting hourly workers, conducting efficient screening, and developing local candidate pipelines.
The role is an internship within the AI & Robotics Research department in San Francisco. The vacancy text does not specify the main requirements for the position.
The role is a Research Scientist in the AI & Robotics Research department in San Francisco. Candidates must have excellent research results in machine learning and robotics, with strong fundamentals and implementation skills.
The role involves building, assembling, and maintaining robotic systems for data collection and model training operations. Candidates must have at least two years of experience in mechanical or electromechanical assembly and proficiency with hand tools and lab equipment.
The Robot Integration and Test Technician role involves performing quality control checks, setting up and provisioning new robot platforms, and executing functional tests. Candidates must have at least two years of hardware testing experience and proficiency with diagnostic tools such as multimeters and oscilloscopes.
The Robot Integration Engineer owns the integration and sustainment of robot platforms into the fleet, driving acceptance testing and reliability improvements. The role requires a B.S. in a relevant engineering field and 5+ years of experience with robot systems integration across hardware and software.
The Robot Operator role involves teleoperating robotic arms to generate high-quality training data for AI systems. Candidates must meet specific data collection metrics and demonstrate strong manual dexterity and attention to detail.
The Robot Prototype Technician role involves building, testing, and repairing early-stage robot prototypes within the Hardware department. Candidates must have at least two years of prototyping experience and proficiency in assembly, electronics, and troubleshooting.
The Robotics Software Engineer role focuses on engineering low-latency, high-throughput systems for physical intelligence models in production. Candidates must optimize sensor pipelines, Linux components, and networking to meet strict real-time constraints.
The Robotics Technician maintains robotic platforms by performing electrical and mechanical repairs, diagnostics, and preventive maintenance. The role requires an associate degree or equivalent experience, 2+ years in maintenance, and proficiency with diagnostic tools and technical documentation.
The Set Team Specialist maintains physical research environments by auditing, staging, and logging props to ensure inventory accuracy. The role requires at least one year of experience in retail, warehouse, or facilities work, along with strong attention to detail and the ability to lift up to 40 lbs.
The Shift Lead role provides on-site leadership for robot data collection and production at a San Francisco facility. Candidates must have 3-5 years of operations experience and 2+ years managing shift-based teams.
This role involves building and rolling out internal AI tools to improve productivity across engineering, research, and operations teams. Candidates must have strong software engineering fundamentals, fluency with LLM-based tools, and the ability to drive adoption of AI workflows.
This role owns quality assurance and audit for multimodal data ingested from third-party vendors. It requires building QA processes, defining quality standards, and managing vendor feedback loops.
The role involves building fullstack software for human-robot interfaces, focusing on production web applications and APIs. Candidates must have strong experience with React, TypeScript, Python, and realtime web technologies like WebRTC.
The Strategic Project Lead owns the delivery of high-priority research and deployment projects by defining goals, building plans, and managing resources. The role requires 2+ years of experience in program management or operations, along with strong communication and cross-functional coordination skills.
The Supply Chain Lead owns procurement strategy and supplier execution for Physical Intelligence's robot platforms, managing the full BOM from prototype to production. The role requires 5+ years of hardware supply chain experience, a bachelor's degree, and strong skills in sourcing electromechanical components and negotiating commercial agreements.
The Creator and Influencer Partnerships Manager owns and executes Pika's creator and influencer programs to drive reach for frequent product launches. The role requires 5+ years of experience in partnerships marketing, managing paid campaigns with budgets over $100k, and strong negotiation and writing skills.
The Data Engineer role involves designing, building, and scaling data infrastructure, pipelines, and analytics systems for Pika's AI platform. Candidates must have 4+ years of experience, strong software engineering skills, and proficiency in Python, SQL, and cloud data platforms.
The role involves building Pika's sales and account management capabilities as the first GTM team member. Candidates must own the full sales cycle, develop go-to-market strategies, and manage key client relationships.
The Growth Engineer role focuses on building and optimizing features to drive user acquisition, activation, engagement, and retention for Pika's AI creative platform. Candidates must have 4+ years of software engineering experience, proficiency in modern web or backend technologies, and experience with experimentation frameworks and data analysis.
The role is an executive-level Head of Engineer, Product Engineering responsible for leading the technical roadmap and scaling multiple engineering teams. Candidates require 10+ years of progressive engineering experience, significant team management, and expertise in distributed systems and cloud infrastructure.
The Head of Finance role involves leading overall financial operations, strategy, and compliance for Pika in Palo Alto. Candidates must have 7+ years of progressive finance leadership experience and a Bachelor's degree in Finance or Accounting.
The Head of Growth role is based at the Palo Alto HQ and focuses on driving activation, retention, and monetization for Pika's creative AI video platform. Candidates must have 2-5 years of product or growth experience, strong analytical skills in SQL, and the ability to lead rapid experimentation.
The role involves designing and optimizing inference pipelines for Pika's AI-driven video and language models. Candidates must have 5+ years of experience in inference acceleration, GPU parallelism, and model deployment at scale.
The Principal Software Engineer, Product role leads technical vision and architecture for user-facing systems at Pika. Candidates must have 8+ years of experience, strong systems design skills, and expertise in React, TypeScript, and cloud infrastructure.
The role is a web-first Product Designer responsible for owning the pika.art web app, including the Video & Image Studio and agent-led workflows. Candidates must have 4+ years of product design experience, strong React/Next.js prototyping skills, and the ability to self-direct design and product priorities.
The Product Manager role involves owning the roadmap and leading projects for a generative AI creative platform. Candidates must have 4+ years of product management experience in creative-tech or consumer platforms and strong communication skills.
This research internship involves contributing to mid-training and post-training efforts for Videogen models at Pika's Palo Alto headquarters. Candidates need BS, MS, or PhD backgrounds with demonstrated video generation experience and proficiency in Python and ML toolkits.
The role involves architecting and scaling large-scale data pipelines to support model training for multimodal foundation models. Candidates must have 5+ years of experience in data engineering and ML data curation, with expertise in distributed systems and Python.
The role involves owning RL-based post-training for video diffusion and flow-matching models at multi-node scale. Candidates must have 2+ years of research experience in post-training or generative modeling, with strong grounding in PyTorch and distributed training.
The role involves leading and scaling backend infrastructure for Pika's user-facing products, focusing on robust, scalable systems and APIs. Candidates must have 5+ years of backend experience, with at least 2+ years in senior roles, and deep expertise in distributed systems and cloud-native infrastructure.
The role involves developing and scaling AI-powered creative tools by collaborating with engineering, design, and product teams. Candidates must have 5+ years of experience, strong full-stack proficiency, and the ability to architect scalable systems while mentoring peers.
This role involves owning a book of prospective accounts end to end, including prospecting, discovery, and closing. Candidates must have 3+ years of experience in sales or business development and the ability to speak credibly about technical AI infrastructure.
The role involves productionizing frontier AI models and collaborating with researchers and customers to integrate them into technology stacks. Candidates should have experience as a machine learning engineer, particularly with transformer models and LLMs, and a track record of owning problems end-to-end.
This role involves working with model researchers to ensure high-quality data production at petabyte scale for training World Models. Candidates must have strong ML fundamentals, experience with large-scale data systems, and practical skills in distributed processing and Python.
The role involves designing and implementing improvements to training infrastructure, post-training processes, and model serving systems. Candidates must have strong Python and PyTorch skills, experience with large-scale model training, and proficiency in low-level GPU code.
The role involves designing and deploying end-to-end machine learning systems for image and video processing. Candidates must have an MS/PhD, 5+ years of Python experience, and strong knowledge of diffusion models and ML architectures.
The role involves contributing to the development cycle of large deep learning models, including dataset preparation, architecture design, and model training. Candidates must have experience with deep learning frameworks and a track record of implementing machine learning algorithms at scale.
The role involves building training and simulation platforms for robotics while developing persistent 3D/4D scene representations. Candidates must have a background in robotics or computer vision, experience with world models, and strong programming skills in Python or C++.
The Program Lead role involves turning open-ended research needs into structured programs with defined scope, standards, and economics while managing relationships with frontier labs. Candidates must have early-stage marketplace operating experience and be AI-native, prioritizing automation and systems over headcount.
The Supply Lead role focuses on building a portfolio of partner businesses and growing the contributor base for Claru's data marketplace. Candidates must have early-stage marketplace operating experience and be AI-native, with a background in automation and systems scaling.
The AI Engagement Manager is a senior individual contributor responsible for managing C-suite relationships with strategic partners in Hollywood and Fortune 100 companies. The role requires 5+ years of customer-facing experience, technical fluency, and the ability to lead generative AI implementations to drive business outcomes.
The Business Development Representative role supports the GTM Sales team by identifying and engaging high-potential accounts in the Enterprise and Mid Market sectors. Candidates must possess strong communication skills, a research-driven approach, and the ability to generate qualified pipeline through personalized outreach.
This role involves creating full-funnel launch campaigns for Runway's products, features, and research using AI as the primary medium. Candidates must have 4+ years of creative experience, a strong portfolio, and fluency with image and video models.
The role involves leading B2B SaaS customer negotiations and implementing commercial legal processes for a generative AI company. Candidates must have a J.D., bar admission, and at least three years of experience negotiating complex technology transactions.
The role involves managing litigation and dispute resolution matters while advising business stakeholders on legal risk. Candidates must have a J.D., bar admission, and at least five years of dedicated litigation experience.
The Creative Workflow Architect role involves creating content and leading demonstrations to showcase Runway's value to enterprise prospects in the Japan market. Candidates must possess full professional bilingual fluency in Japanese and English, along with experience creating content end-to-end and using creative tools.
The Design Engineer role involves prototyping and building interfaces for AI video, world models, and agentic systems within a research lab. Candidates must have experience in UI design, front-end engineering, and creating tools for research workflows.
The role involves designing high-volume performance marketing assets across video, motion, and static formats for paid channels. Candidates must have 4+ years of experience in performance marketing design and strong motion design skills using tools like After Effects.
The Detection & Response Engineer owns the end-to-end security detection and response program for Runway's infrastructure, research environment, and products. The role requires hands-on incident response experience, the ability to build detections as code in a SIEM, and working knowledge of cloud and Kubernetes security.
This role leads enterprise product marketing for Runway, focusing on positioning, messaging, and growth for verticals like Media and Retail. Candidates need 8+ years of product marketing experience, a track record of growing enterprise segments, and strong positioning and communication skills.
This role involves leading a team of 5 to build and manage a low-latency, high-reliability API platform for AI-powered creation tools. Candidates must have 5+ years of engineering experience and 2+ years managing engineering teams, with expertise in TypeScript, AWS, and distributed systems.
This role involves managing 10-30 enterprise accounts with $1B+ revenue, focusing on selling AI simulation technology to Fortune 500 companies. Candidates must have 5+ years of enterprise software sales experience, a quota history above 100%, and proficiency in MEDDPICC.
The role supports a Co-founder with calendar management, complex logistics, and VIP meeting coordination in a fast-paced environment. Candidates need 5+ years of executive support experience, proficiency in Google Workspace and Slack, and strong communication skills.
The Forward Deployed Engineer role involves working directly with major studios and Fortune 100 companies to identify and remove blockers between them and production. Candidates must build production-ready integrations, plugins, or workflows using Python or TypeScript and deploy AI systems within complex organizations.
The General Manager for Japan will lead commercial expansion by defining go-to-market strategy and establishing enterprise partnerships. The role requires 10+ years of experience in enterprise software or AI, native Japanese fluency, and the ability to build a local team.
The Infrastructure Security Engineer secures the Kubernetes platform, cloud identity, and software supply chain for AI model training and serving. The role requires hands-on experience with production Kubernetes security, cloud IAM, and infrastructure as code.
This role leads the founding BDR team and builds AI-first sales development infrastructure for Runway's commercial division. Candidates need 5+ years of sales or GTM leadership experience and must design outbound processes using AI workflows and product signals.
This role involves building and scaling marketing programs for creator, partner, sponsorship, and growth ecosystems. The position requires a generalist with 4+ years of experience managing campaigns, partnerships, and cross-functional stakeholders to drive measurable growth.
This role involves owning end-to-end product development for Runway's agent products, including customer discovery, product shaping, and quality feedback loops. Candidates must have 8+ years in the software industry with direct ownership of an AI or LLM powered product and hands-on experience building agent products.
This role involves sourcing, activating, and scaling relationships across Runway's portfolio of model partners. Candidates must have 5+ years of experience in partnerships or business development and strong analytical capabilities.
The role involves developing cutting-edge computer vision and generative models to power creative tools. Candidates need 4+ years of experience in machine learning, computer vision, or graphics, along with strong software engineering skills.
The role involves owning the full API lifecycle for a high-traffic platform, including design, implementation, and monitoring. Candidates must have 3+ years of experience building production APIs and strong TypeScript skills.
The role involves contributing to research on multimodal foundational models and interactive world modeling. Candidates must have 4+ years of machine learning experience and proficiency with frameworks like PyTorch or JAX.
The Robotics Engineer role involves deploying world-model-based policies on real robot hardware, including inference serving, action decoding, and controller integration. Candidates must have personal experience deploying software on real robot hardware and fluency in the software-to-robot interface.
The role involves managing a book of 40-60 mid-market accounts to close 25-40 deals annually at $40k-$100k. Candidates require 3+ years of full-cycle SaaS/AI closing experience with a quota record above 100%.
The Pricing & Packaging Lead owns Runway's pricing strategy, packaging, and revenue growth across self-serve and enterprise markets. The role requires 10+ years of experience in pricing or monetization, with 5+ years directly owning pricing decisions and deep expertise in usage-based pricing models.
The Prototype Researcher role involves designing and building experimental AI experiences to communicate emerging world model capabilities. Candidates must have a portfolio demonstrating creative thinking, technical execution, and strong storytelling.
The role involves designing multimodal datasets and building infrastructure for synthetic data generation to train world models. Candidates need 4+ years of machine learning experience and proficiency with frameworks like PyTorch or JAX.
The role involves managing and growing Runway's Applied ML Research team to develop machine learning tools for AI-based content creation. Candidates need a strong research background in computer vision, 5+ years of industry experience, and 1+ year of team management experience.
The Senior AI Product & Partnerships Counsel role involves advising on generative AI video legal matters and accelerating product and data partnerships. Candidates must have 6+ years of relevant experience, a J.D., and state bar admission, with a focus on IP, privacy, and go-to-market deals.
The Senior HR Generalist owns the day-to-day HR function, including employee lifecycle management, HRIS administration, and compliance. The role requires 5+ years of HR experience, strong communication skills, and the ability to operate independently in a fast-paced environment.
The Senior Revenue Accountant role involves managing revenue recognition, invoicing, and accounts receivable for a SaaS company. Candidates need a bachelor's degree, 4+ years of revenue accounting experience, and proficiency with NetSuite or Salesforce.
The role involves partnering with leaders on org design, coaching managers, and managing employee relations at Runway. Candidates need 7+ years of HR experience, including 4+ years as an HR Business Partner in a high-growth company.
The role involves building full-stack AI-powered video creation and collaboration tools using TypeScript, React, and Node.js. Candidates must have 5+ years of software engineering experience and fluency in JavaScript/TypeScript.
The role involves creating high-quality short-form video, motion, and design for social platforms using AI tools, primarily Runway's products. Candidates must have 4 to 8 years of professional creative experience and exceptional short-form editing skills.
The Social Media Lead role involves building the strategy and operating model for Runway's social channels to support major launches and audience engagement. Candidates need 5+ years of experience in strategic social marketing and strong editorial judgment across platforms like X, Instagram, and TikTok.
The role involves leading design projects for mobile and web platforms while collaborating with engineering and product teams. Candidates need experience designing flows, prototypes, and high-fidelity UIs for web products, along with strong visual design skills.
The role involves owning the developer experience for Runway's API, including the console, documentation, and integration flows. Candidates must have experience designing developer-facing products and translating technical concepts into usable interfaces.
The role involves owning growth-critical product surfaces such as pricing pages and checkout flows to drive revenue growth. Candidates must have experience designing revenue-impacting interfaces and running quantitative A/B tests.
This role involves owning the full product lifecycle for AI world models, from research through to GTM strategy. Candidates need 4+ years of product management experience and 1+ year of technical experience with SQL, Python, and ML.
This role involves owning the product strategy and roadmap for AI research products, from early development through launch and go-to-market. Candidates need 4+ years of product management experience, a technical foundation, and fluency in SQL and Python.
This Strategic Finance role partners with executive, R&D, and GTM teams to own financial modeling and analysis for product strategy and operational decisions. Candidates need 7+ years of experience in Strategic Finance or BizOps at a high-growth tech company, with strong quantitative and communication skills.
The role involves resolving high-volume support tickets for account access, billing, and plan questions using existing macros and playbooks. Candidates need clear written communication, comfort with repetitive work, and 0-2 years of customer-facing experience.
This role manages complex enterprise customer inquiries and provides technical support for the Runway product. Candidates need 3-5+ years in customer-facing technical roles and experience with video editing or generative AI tools.
The role involves resolving high-volume support tickets for account access, billing, and plan questions using existing macros and playbooks. Candidates need clear written communication, comfort with repetitive work, and 0-2 years of customer-facing experience.
The Support Specialist, US Tier 2 role involves handling high-volume inbound support tickets and escalations for Runway's creative platform. Candidates must demonstrate strong written communication, data-driven pattern recognition, and 1-3 years of experience in customer support or operations.
The Support Systems Engineer role involves owning the AI support agent, ticketing system, and internal CX tooling to reduce ticket volume. Candidates must have 5+ years of experience in support engineering and production code experience with TypeScript, Node.js, and AWS.
This role leads an Enterprise revenue organization, managing 3-4 frontline sales managers and 25-40 GTM teammates to drive new ACV and NRR. Candidates must have 12+ years of enterprise software sales experience, 5+ years leading organizations, and a track record of building high-performance revenue pods.
The IT Support Engineer provides technical support for hardware, software, and identity systems across a globally distributed organization. The role requires experience with macOS, Windows, Google Workspace, and device management tools, along with strong troubleshooting and communication skills.
The role involves providing technical support for hardware, software, and identity issues while managing employee onboarding and device provisioning. Candidates need foundational knowledge of macOS, Windows, and cloud applications, along with experience in IT support or help desk roles.
The role involves building production-quality UI components and design systems for an audio product suite. Candidates must have strong front-end engineering skills in React, TypeScript, and Next.js, along with proficiency in Figma.
This role involves owning the production reliability of a Kubernetes-native GPU inference fleet, including managing the provisioning state machine and extending automated self-healing systems. Candidates must have hands-on experience with large-scale distributed systems, InfiniBand/RDMA troubleshooting, and Kubernetes controller/CRD patterns.
This role involves owning the production reliability of a Kubernetes-native control plane for a GPU inference fleet. Candidates must have hands-on experience with distributed systems, InfiniBand/RDMA troubleshooting, and Kubernetes controller patterns.
The role involves building a Kubernetes-native control plane and self-service API to provision and manage a GPU inference fleet. Candidates must have experience with Go, Python, or Rust, durable workflow orchestration, and event-driven systems.
The role involves designing and building automation systems for a large GPU fleet used in frontier model training and inference. Candidates must have strong software engineering skills and experience with distributed systems, infrastructure platforms, or large-scale backend software.
The role involves building and operating large-scale GPU fleet automation systems for AI training and inference. Candidates must have 3+ years of experience in distributed systems and strong software engineering skills in Python, Go, or Rust.
The role involves building and operating large-scale GPU fleets for frontier model training and inference. Candidates must have 3+ years of experience in distributed systems and strong software engineering skills in Python, Go, or Rust.
The Associate, Infrastructure Strategy & Operations role supports the Infrastructure Strategy team with research, benchmarking, and operational analysis for capacity planning and compute sourcing. Candidates must have 3+ years of experience in consulting or operations, strong quantitative skills, and proficiency in Excel, SQL, or data visualization tools.
The Commercial Counsel role supports enterprise customer and partnership deals by negotiating commercial agreements, managing risk, and advising Sales and Partnerships teams. Candidates must have a JD, active bar license, and at least five years of experience in commercial and technology transactions, with strong knowledge of data privacy and security terms.
The Customer Success Engineer serves as the technical owner for a strategic customer, managing infrastructure across compute, networking, storage, and facilities. The role requires five years of customer-facing technical experience and deep expertise in GPU infrastructure and large-scale Ethernet or InfiniBand fabric architecture.
The Data Center Operations Coordinator manages break/fix activities, ticket queues, and vendor dispatches across multiple data centers. The role requires experience in data center operations, hardware support, and ticketing systems to ensure SLA compliance and uptime.
The Director of Brand will lead brand marketing at Together AI, creating narratives and executing campaigns to build brand awareness. The role requires 5+ years of experience leading brand teams and managing budgets in B2B marketing.
The Director of Investor Relations at Together AI will own investor relationships and build the company's investment narrative while managing board reporting and long-range planning. The role requires a background in equity capital markets, strong financial modeling skills, and the ability to communicate complex technical and financial concepts to investors.
The role involves establishing and scaling a technical accounting function, defining U.S. GAAP policies, and leading investor reporting for a private company. Candidates must have a bachelor's degree, CPA, and 12+ years of progressive accounting experience with deep expertise in complex ASC standards.
The Director of Debt Capital Markets leads debt financing initiatives and manages lender relationships to support infrastructure growth. The role requires 10+ years of experience in debt capital markets or private equity, along with strong financial modeling and negotiation skills.
The role involves planning and executing industry conferences, tradeshows, and flagship events for Together AI. Candidates must have 3+ years of experience in event marketing and strong project management skills.
The Field Marketing & Community Manager role involves building account-based field programs and community events to engage priority accounts and accelerate pipeline. Candidates must have 5-7+ years of experience in field marketing or ABM, with strong project management and cross-functional collaboration skills.
The role involves partnering with strategic customers to optimize inference engines and manage post-training pipelines for production AI teams. Candidates must have 5+ years of technical experience, expert knowledge of inference engines like vLLM, and proficiency in Python.
This role involves acting as a technical partner to strategic customers for post-training LLMs, focusing on data strategy, algorithm selection, and evaluation. Candidates require 5+ years of ML experience and expert-level hands-on knowledge of fine-tuning and reinforcement learning techniques.
This role involves partnering with strategic customers to optimize inference engines and production AI deployments. Candidates require 5+ years of technical experience, expert knowledge of inference engines like vLLM, and strong Python skills.
This role involves driving growth for a PLG business through experimentation and campaign execution across email, landing pages, and paid media. Candidates must be data-driven, analytical, and currently pursuing a bachelor's degree or MBA.
The GTM Engineer role involves architecting an AI-native tech stack and building automated engines to drive revenue outcomes. Candidates must have 3-5+ years of experience in Growth, GTM, or Revenue Operations, along with direct Salesforce expertise and strong systems thinking.
This role involves contributing to secure AI systems by designing and prototyping security solutions for hardware, firmware, and cloud infrastructure. Candidates must have a Bachelor's degree in a related field, foundational knowledge of computer architecture, and strong programming skills in Python or Bash.
This role involves designing and implementing security solutions for AI infrastructure, including hardware, firmware, and cloud services. Candidates must have strong programming skills in Python or Bash and a foundational understanding of computer architecture and operating systems.
The Head of Distribution Partnerships role involves sourcing and building 0-to-1 partnerships to drive token distribution for Together AI's inference infrastructure. Candidates must have at least 5 years of experience in product partnerships or technical alliances, along with the technical acumen to scope integrations and negotiate commercial terms.
The role involves leading a team of AI infrastructure systems engineers in Amsterdam to maintain user-facing services and production systems. Candidates must have 7+ years of SRE experience and expert knowledge of Ansible, Terraform, and Kubernetes.
The role involves leading a team of eight cloud infrastructure engineers in Amsterdam to build and manage distributed GPU scheduling and global management planes. Candidates require five or more years of experience in large-scale distributed systems and strong backend development skills.
The role involves designing and building production systems for the Together AI inference engine to optimize large language model performance at scale. Candidates must have 3+ years of experience writing high-performance code and proficiency with Python and PyTorch.
The role involves managing international cloud compute supplier relationships and contract lifecycles to support global GPU fleet scaling. Candidates require 5+ years in cloud sourcing, experience negotiating multi-million dollar contracts, and the ability to translate technical requirements into commercial terms.
The role involves designing and operating backend infrastructure and Kubernetes-based systems for model customization and evaluation. Candidates require 3+ years of experience in production infrastructure, Linux, and Python or Go.
This role involves owning day-to-day product work for AI infrastructure products, including GPU clusters, managed storage, and observability. Candidates must demonstrate strong data and analytics skills, high agency, and a technical foundation in cloud or infrastructure.
This role leads partner marketing at Together AI, focusing on strategy and execution for NVIDIA and model labs. Candidates need 5+ years of partner marketing experience, preferably with cloud hyperscalers or NVIDIA, and strong analytical skills.
The Recruiting Coordinator role involves managing the hiring process from start to finish, including scheduling interviews, coordinating with hiring managers, and handling candidate communications. The position requires 1-3 years of experience in recruiting or HR, familiarity with Applicant Tracking Systems, and strong organizational and communication skills.
The role involves sourcing and engaging passive candidates for business-side hiring across GTM, Infrastructure Strategy, and G&A. Candidates must have 5+ years of sourcing experience and strong outreach skills to build pipelines and sourcing playbooks.
The role involves designing and optimizing large-scale training infrastructure for foundation models at Together AI. Candidates must have strong Python and PyTorch skills, along with experience in multi-GPU training and ML systems.
The role involves developing a platform for customizing open-source models and building Fine-Tuning, Reinforcement Learning, and Evaluation services. Candidates must have 2+ years of experience deploying ML services and hands-on knowledge of inference engines like SGLang and vLLM.
This research internship focuses on developing and evaluating frontier AI agents for complex, multi-step tasks in text and speech. Candidates must be pursuing a Ph.D. with strong machine learning fundamentals, Python skills, and experience with deep learning frameworks.
This research internship focuses on developing and evaluating frontier AI agents for complex, multi-step tasks in text and speech. Candidates must be pursuing a Ph.D. with strong machine learning fundamentals, Python skills, and experience with deep learning frameworks.
This research internship focuses on developing speculative decoding algorithms and draft models to accelerate large language model generation. Candidates must have strong machine learning fundamentals and hands-on experience training large models with distributed frameworks.
This research internship focuses on developing speculative decoding algorithms and draft models to accelerate large language model generation. Candidates must have strong machine learning fundamentals and hands-on experience training large models with distributed frameworks.
This research internship focuses on developing efficient and scalable inference systems for large foundation models, including distributed inference and compiler-aware optimization. Candidates must be final-year students with strong machine learning fundamentals, Python programming skills, and experience with deep learning frameworks.
This research internship focuses on developing efficient and scalable inference systems for large foundation models, including distributed inference and compiler-aware optimization. Candidates must be final-year students with strong machine learning fundamentals, Python programming skills, and experience with deep learning frameworks.
This role involves researching and implementing novel techniques in post-training, efficient neural network training, and foundation model evaluation. Candidates must be currently pursuing a degree in a related field with strong machine learning fundamentals and experience with deep learning frameworks.
This role involves researching and implementing novel techniques in post-training, efficient neural network training, and foundation model evaluation. Candidates must be currently pursuing a degree in a related field with strong machine learning fundamentals and experience with deep learning frameworks.
The Sales Development Engineer role involves surfacing, qualifying, and converting opportunities for GPU and API platform sales at Together.ai. Candidates must have 1-2 years of technical experience, strong communication skills, and experience with cold and warm calling.
The Senior ABM & Campaign Manager role involves owning account-based programs and integrated campaigns for AI-native companies. Candidates must have 6+ years of B2B demand generation experience and deep ABM expertise.
The role involves building and optimizing global request routing, load balancing, and auto-scaling systems for a large-scale inference platform. Candidates must have 5+ years of experience in distributed systems and expert-level programming in Rust, Go, Python, or TypeScript.
The Senior Counsel role involves building legal and compliance programs for AI infrastructure, focusing on product terms, privacy, export controls, and patent strategy. Candidates require a JD, 7+ years of experience, and expertise in global privacy law and export controls.
The role involves owning CI/CD pipelines, release infrastructure, and testing systems to improve engineering productivity. Candidates must have 5+ years of production software experience and proficiency in Python, Go, and JavaScript/TypeScript.
The role involves optimizing inference performance for voice models and owning the model serving stack for STT, TTS, and speech-to-speech workloads. Candidates must have 5+ years of ML engineering experience, proficiency in Python and PyTorch, and hands-on experience with LLM serving engines.
The role involves designing, deploying, and operating global network infrastructure for high-performance AI compute environments. Candidates must have 8+ years of experience with large-scale production networks, deep TCP/IP knowledge, and strong troubleshooting skills across Linux and Kubernetes.
The role involves designing, deploying, and operating global multi-vendor network infrastructure for high-performance AI compute environments. Candidates must have 8+ years of experience with large-scale production networks, deep TCP/IP knowledge, and hands-on experience with RoCE or InfiniBand.
The role involves building software state machines and self-service APIs to automate the provisioning and lifecycle management of GPU inference clusters. Candidates must have strong software engineering experience in Go, Python, or Rust, along with expertise in durable workflow orchestration and control plane systems.
The role involves building a Kubernetes-native control plane and self-service API to provision and manage a GPU inference fleet. Candidates must have strong software engineering skills and experience with durable workflow orchestration, control planes, and event-driven systems.
The Senior Product Engineer role involves owning the frontend UI for Together AI's revenue-critical commerce flows, including spend controls and payment management. Candidates must have 4+ years of frontend experience with strong React, TypeScript, and API integration skills.
The role involves building and shipping fullstack features for Together AI's core product surfaces, including Playground and Model Garden. Candidates must have 4-7 years of experience with strong TypeScript, React, and full-stack engineering skills.
This role involves owning the product direction for Together's model APIs and developer experience, including chat, multimodal, voice, and batch inference. Candidates must have meaningful experience with APIs and developer tools, along with strong product judgment and a willingness to build prototypes.
The role manages data center builds and infrastructure deployment for Together AI, overseeing projects from contract negotiation through commissioning. Candidates require 7+ years in technical program management with 5+ years focused on data center or high-density infrastructure builds.
The Senior G&A Recruiter role involves owning end-to-end hiring for Finance, Legal, and Business Strategy functions at Together AI. Candidates must have 5+ years of G&A recruiting experience in high-growth tech environments and strong leadership partnership skills.
The Senior GTM & Business Recruiter owns end-to-end hiring for GTM and Business functions at Together AI's San Francisco headquarters. The role requires 5+ years of recruiting experience in high-growth tech environments and the ability to partner with leadership to define hiring strategies.
The Senior Software Engineer role focuses on building and owning major components of Together Cloud's next-generation AI infrastructure, including GPU virtualization and distributed control planes. Candidates must have 5+ years of experience, strong backend proficiency, and demonstrated ownership of large-scale, high-performance systems.
The role involves building and owning major components of a next-generation AI cloud platform, including GPU virtualization and distributed control planes. Candidates must have 5+ years of software development experience, strong systems knowledge, and proficiency in backend languages like Golang.
The role involves building foundational backend services for a global AI cloud platform that virtualizes ML hardware and manages distributed GPU scheduling. Candidates must have 5+ years of experience in large-scale distributed systems, strong systems knowledge, and proficiency in Golang or similar languages.
The role involves building production AI agents and core platform systems to diagnose and automate operations for a large GPU fleet. Candidates must have 5+ years of experience in backend or distributed systems and strong skills in AI agent systems, knowledge graphs, or retrieval.
The role involves building production AI agents and core platform systems to diagnose and automate operations for a large GPU fleet. Candidates must have 5+ years of experience in backend or distributed systems and strong skills in AI agent systems, knowledge graphs, or retrieval.
The role involves building production AI agents and core platform systems to diagnose and automate operations for a large GPU fleet. Candidates must have 5+ years of experience in backend or distributed systems and strong skills in AI agent systems, knowledge graphs, or retrieval.
The role involves designing and implementing a scalable observability platform using tools like Prometheus, Grafana, and OpenTelemetry. Candidates must have strong programming skills in Go or Python and experience with infrastructure-as-code tools such as Terraform and Kubernetes.
The role involves partnering with AI Research and Engineering leadership to scale research teams across kernels, inference optimization, and applied AI. Candidates must have 5+ years of technical recruiting experience and a proven track record hiring exceptional AI researchers and engineers.
The Solutions Architect role involves advising customers on Generative AI applications and demonstrating Together AI's stack. Candidates need 5+ years in customer-facing technical roles, with at least 2 years in pre-sales, and strong skills in AI, ML, and Python.
The role involves building and executing EMEA field marketing and community strategies to support market entry and pipeline growth. Candidates must have 8+ years of B2B marketing experience, strong sales partnership skills, and the ability to manage regional budgets and events.
This role involves operating and scaling multi-petabyte storage systems for AI training and inference workloads. Candidates must have 8+ years of storage engineering experience and strong skills in Go and Python.
The role involves operating and scaling multi-petabyte storage systems for AI workloads, including high-performance parallel filesystems and object stores. Candidates must have 8+ years of storage engineering experience, deep Kubernetes expertise, and strong coding skills in Go and Python.
The role involves driving the model serving layer for voice workloads, optimizing inference engines like TRT-LLM and SGLang for models such as Whisper and Parakeet. Candidates must have 8+ years of ML engineering experience, deep expertise in LLM serving engines, and strong proficiency in Python, PyTorch, and GPU optimization.
This role involves driving service and platform infrastructure strategy for Together AI's engineering organization. Candidates must have 7+ years of experience in platform engineering or SRE with deep production knowledge of Kubernetes and AWS.
This Staff Software Engineer role focuses on AI Compute within the Together Cloud organization, requiring the candidate to set technical direction for and build major components of a next-generation AI cloud platform. The position demands 7+ years of professional software development experience, expert proficiency in at least one backend language, and deep systems knowledge across compute, networking, and storage.
This role involves setting technical direction for and building major components of a next-generation AI cloud platform, including GPU virtualization and global management planes. Candidates must have 7+ years of experience, expert proficiency in a backend language, and a track record of owning large distributed system architectures.
The role involves building a Kubernetes-native control plane and self-service API to provision and manage a GPU inference fleet. Candidates must have strong software engineering skills and experience with durable workflow orchestration, control planes, and event-driven systems.
The Strategic Account Executive role involves owning a portfolio of high-priority AI-native and enterprise accounts to generate pipeline and close new business. The position requires 7+ years of B2B technology sales experience, technical fluency in ML/infrastructure, and the ability to manage complex sales cycles.
The Strategic Account Executive role involves owning a portfolio of high-priority AI-native and enterprise accounts to generate pipeline and close new business. Candidates must have 7+ years of B2B technology sales experience and a track record of closing complex inference opportunities.
This role involves owning the cost base and forecasting for data center build-outs, including hardware capex and operating costs. Candidates must have 4+ years of experience in data center finance or infrastructure investing, with strong financial modeling and budget-versus-actual skills.
This role involves developing and optimizing GPU-accelerated kernels and algorithms for ML/AI applications. Candidates must have a strong background in GPU programming, parallel computing, and CUDA or Triton.
This internship involves developing and optimizing GPU-accelerated kernels for ML/AI applications at Together AI. Candidates must have strong backgrounds in GPU programming, parallel computing, and CUDA or Triton.
The role involves developing and optimizing GPU-accelerated kernels and algorithms for ML/AI applications. Candidates must have strong background in GPU programming, parallel computing, and knowledge of ML/AI models.
The Technical Marketing Engineer role involves creating technical content and managing developer communities to build Together AI's credibility. Candidates must have 3+ years of product or technical marketing experience and a portfolio of in-depth technical content for engineers.
This role requires an engineer to source top-tier technical talent in the Bay Area and other hubs. Candidates must evaluate GitHub profiles and conduct deep technical first calls to identify elite engineers.
This role supports customers with complex technical challenges involving Kubernetes GPU clusters for training, fine-tuning, and inference. Candidates need 3+ years in customer-facing technical roles, with at least 1 year in AI or SaaS support, and strong knowledge of GPU technologies and HPC environments.
This role supports customers with Kubernetes GPU clusters, requiring 3+ years in customer-facing technical support and SRE experience. Candidates must have strong knowledge of AI, ML, GPU technologies, and HPC infrastructure.
This role supports customers with complex technical challenges in AI inference and fine-tuning services, acting as a customer-facing SRE for GPU clusters and Kubernetes endpoints. Candidates require 6+ years of experience in customer-facing technical roles, SRE, or infrastructure engineering, with at least one year in AI service support.
This role involves writing and testing documentation for Together AI's developer products, including guides and API references. Candidates must have strong written communication skills, a working knowledge of Python or TypeScript, and experience with Git.
The Executive Business Partner supports the CEO by managing calendars, logistics, and priorities across World Labs and Stanford. The role requires 8+ years of experience supporting C-suite leaders, bilingual fluency in English and Mandarin, and strong organizational skills.
The Performance Engineer role focuses on optimizing inference, training, and GPU utilization for large generative world models. Candidates must have deep experience in GPU programming, kernel optimization, and performance engineering for large-scale ML systems.
The role involves building production-grade backend services and APIs for 3D Gaussian Splat scene generation and editing. Candidates must bridge research and product by turning Python scripts into reliable systems with clear inputs, outputs, and validations.
The role involves building and scaling high-throughput, Unreal Engine-based rendering systems for synthetic data generation across cloud GPU fleets. Candidates must demonstrate mastery in low-level Unreal rendering architecture, GPU programming, and performance engineering using C++ and CUDA.
The role is a Tech Lead for 3D Modeling & Reconstruction at World Labs, responsible for setting technical direction and leading a small team. Candidates need 8+ years of experience in 3D reconstruction or modeling, with strong Python/C++ skills and a track record of impactful research or production systems.
The role involves developing state-of-the-art robot learning systems and policies with a focus on sim-to-real transfer and scalable training pipelines. Candidates must have a PhD in a related field and over six years of experience in robot policy training, manipulation, or locomotion.
The role involves designing and implementing state-of-the-art SLAM systems for spatial understanding from real-world sensor data. Candidates must have 6+ years of experience in SLAM or robotics perception, with strong skills in probabilistic estimation and optimization.
The role requires a Research Scientist with deep expertise in diffusion models for generating 3D worlds and images. Candidates must have 3+ years of experience in generative modeling and proficiency in Python and PyTorch.
The role involves owning deployment and activation success for a customer portfolio by embedding in organizations and building programs to drive AI adoption. Candidates need at least five years of customer success experience, technical proficiency, and strong facilitation skills to deliver workshops and measure business outcomes.
The role involves partnering with enterprise customers to architect and deploy AI-powered solutions using WRITER's platform and LLMs. Candidates need over five years of technical SaaS experience, including three years in solutions architecture, and strong Python and API skills.
The role involves partnering with enterprise customers to architect and deploy AI-powered solutions using WRITER's platform and LLMs. Candidates need over five years of technical SaaS experience, including three years in solutions architecture or consulting, plus strong Python and API skills.
The role involves partnering with enterprise customers to architect and deploy AI-powered solutions using WRITER's platform and LLMs. Candidates need over 5 years of technical SaaS experience, including 3 years in solutions architecture, and strong Python and API skills.
The AI engineer role involves architecting and deploying scalable AI applications and intelligent agents for WRITER's enterprise platform. Candidates must have 5+ years of production experience, proficiency in Python and ML frameworks, and strong knowledge of LLMs and MLOps.
The role involves architecting and deploying high-performance AI applications and intelligent agents for WRITER's enterprise platform. Candidates must have 5+ years of experience building ML systems in production, with proficiency in Python and frameworks like PyTorch or TensorFlow.
The role involves leading a high-impact research agenda on large language models and agentic systems, focusing on post-training and multi-step reasoning. Candidates must have 7+ years of ML research experience, a Ph.D., and expertise in post-training methods like RLHF and DPO.
The role involves serving as a strategic partner for Fortune 100 accounts to drive AI transformation and P&L impact. Candidates need 5-9 years of experience in strategic account management or transformation consulting with strong executive communication skills.
The role involves serving as a strategic partner for Fortune 100 accounts to drive AI transformation and P&L impact. Candidates need 5-9 years of experience in strategic account management or transformation consulting with strong C-suite relationship skills.
The role involves serving as a strategic partner for Fortune 100 accounts to drive AI transformation and P&L impact. Candidates need 5-9 years of experience in strategic account management or transformation consulting with strong C-suite relationship skills.
The role involves serving as a strategic partner for Fortune 100 accounts to drive AI transformation and P&L impact. Candidates need 5-9 years of experience in strategic account management or transformation consulting with strong C-suite relationship skills.
The role involves owning the Writer Design System to ensure it is complete and trustworthy for both humans and AI agents. Candidates must have 4-8+ years of experience building production frontends with TypeScript and React, along with expert-level Figma skills.
The role involves owning the Writer Design System to ensure it is complete and trustworthy for both humans and AI agents. Candidates must have 4-8+ years of experience building production frontends with TypeScript and React, along with expert-level Figma skills.
The Director of Sales Enablement will own the global strategy for Account Executives and Sales Development Representatives, focusing on improving productivity and accelerating sales cycles. The role requires 7+ years of experience in enablement or sales leadership, along with strong project management and cross-functional collaboration skills.
The role is an enterprise account executive in London responsible for closing B2B SaaS deals with large companies. Candidates need 5+ years of enterprise sales experience and strong communication skills.
The role is an Enterprise Account Executive responsible for driving net-new revenue by managing the full sales cycle for WRITER's enterprise AI agent platform. Candidates must have five years of quota-carrying enterprise SaaS sales experience and a track record of meeting annual quotas.
The Infrastructure engineer role focuses on building resilient, high-availability systems and automating operations across AWS, GCP, and Azure. Candidates must have 5+ years of experience in infrastructure or DevOps, with proficiency in Python or Go, Kubernetes, and Terraform.
The role involves leading brand strategy, campaigns, and internal brand systems for WRITER, an enterprise AI company. Candidates must have 7+ years of experience building brands at high-growth B2B tech companies and managing agency relationships.
This role is a senior staff product manager position at WRITER, reporting to the VP of Product. The candidate will own high-impact, ambiguous product initiatives and shape strategy across multiple teams and product areas.
This role is a senior staff product manager in London responsible for driving high-impact AI product initiatives and shaping strategy across multiple teams. Candidates must have 8+ years of product management experience, technical depth in LLMs and architecture, and strong stakeholder alignment skills.
The role involves owning go-to-market strategy for new products and features, translating complex platform capabilities into messaging for enterprise buyers. Candidates need 8+ years of B2B SaaS product marketing experience and an AI-native mindset with proven experience using agentic AI.
The role involves building pipeline from ICP accounts and setting meetings for the Sales team. Candidates need 2+ years of SaaS sales development experience and strong written communication skills.
The role involves building security foundations for AI systems, conducting threat modeling, and owning the application security program. Candidates need 4+ years of application security experience and expertise in at least two programming languages.
The role is a staff detection and response engineer focused on building sophisticated detection systems and automated response capabilities for WRITER's AI infrastructure. Candidates need 3-5+ years of security operations experience, strong programming skills in Python or similar languages, and expertise in SIEM platforms and forensic investigation.
The role is a staff detection and response engineer responsible for building AI-specific detection systems and automated response capabilities. Candidates need 3-5+ years in security operations and 3+ years securing AI/ML infrastructure, with strong Python skills.
The role involves owning deployment and activation success for a customer portfolio by embedding in organizations and building adoption programs. Candidates must have at least 9 years of customer success experience and the ability to translate use cases into measurable business outcomes.
The role is a hybrid AI transformation lead based in Chicago or Austin, serving as a strategic partner for Fortune 100 accounts. Candidates must have over 10 years of experience in strategic account management or transformation consulting with a proven track record of leading large-scale transformations.
The role is a hybrid AI transformation lead based in New York City, focused on partnering with Fortune 100 accounts to drive enterprise AI adoption and P&L impact. Candidates must have over 10 years of experience in strategic account management or transformation consulting for large enterprises.
The role is a Senior AI transformation lead based in San Francisco or Seattle, serving as a strategic partner for Fortune 100 accounts. Candidates must have over 10 years of experience in strategic account management or transformation consulting with a proven track record of leading large-scale transformations.
The role involves reviewing and negotiating commercial contracts, including SaaS licensing and data processing agreements, for enterprise customers and suppliers. Candidates must have a law degree, U.S. bar admission, and 7+ years of experience negotiating commercial contracts, ideally in SaaS or tech law firms.
The role involves owning the end-to-end email and lifecycle marketing program, including strategy, audience development, and execution in HubSpot. Candidates must have 6+ years of experience in lifecycle or CRM marketing and deep hands-on experience with marketing automation platforms.
The role involves leading paid media programs across social, search, and display channels to support enterprise sales cycles. Candidates must have 5+ years of paid marketing experience, including ABM and proficiency with major ad platforms.
The role involves driving strategic technical discovery with Fortune 500 prospects and architecting scalable generative AI solutions. Candidates must have 5+ years of experience in technical customer-facing roles and deep expertise in LLMs and prompt engineering.
The role involves designing and building scalable AI agent systems that execute autonomous workflows and integrate with enterprise data. Candidates must have 3+ years of software engineering experience with strong Python proficiency and experience building distributed systems or backend APIs.
The role involves designing and building scalable AI agent systems that execute autonomous workflows and integrate with enterprise data. Candidates require 3+ years of professional software engineering experience with strong proficiency in Python and experience building distributed systems or backend APIs.
The role involves designing secure, scalable AI integration platforms and backend services for enterprise systems. Candidates need 5+ years of experience with TypeScript, Deno, Node.js, or Bun, along with expertise in distributed systems and AI integration layers.
The role involves designing and developing secure, scalable generative AI services and applications using Python and modern frameworks. Candidates must have 3-5+ years of software engineering experience with a strong emphasis on Python and proven expertise in building generative AI applications.
The role involves designing and developing secure, scalable generative AI services and applications using Python and modern frameworks. Candidates must have 3-5+ years of software engineering experience with a strong emphasis on Python and proven expertise in building generative AI applications.
The role involves building security foundations for AI systems and leading application security programs at WRITER. Candidates must have at least four years of application security experience and expertise in at least two programming languages.
This role involves driving net-new revenue for WRITER's enterprise AI agent platform by managing the full sales cycle for global enterprises. Candidates must have 5-8+ years of quota-carrying strategic SaaS sales experience and a track record of meeting annual quotas.
The Strategic Account Executive role involves driving net-new revenue for WRITER's enterprise AI agent platform by managing the full sales cycle for global enterprises. Candidates must have 5-8+ years of quota-carrying strategic SaaS sales experience and a track record of meeting annual quotas.
The role involves owning the full enterprise sales cycle for WRITER's AI agent platform, targeting global enterprises with 8,000+ employees. Candidates must have 7-10+ years of quota-carrying strategic SaaS sales experience and the ability to manage complex, multi-stakeholder deals.
The Strategic Account Executive role involves driving net-new revenue for WRITER's enterprise AI agent platform by managing the full sales cycle for global enterprises. Candidates must have 5-8+ years of quota-carrying strategic SaaS sales experience and a track record of meeting annual quotas.
The role is a strategic account executive in London selling WRITER's AI agent platform to large financial services enterprises. Candidates need 7-10+ years of quota-carrying SaaS sales experience targeting Fortune 500 and Global 2000 financial services accounts.
The role is a senior support engineer in London, UK, focused on resolving complex production issues for enterprise customers. Candidates need 5+ years of technical support experience in B2B SaaS and proficiency in cloud technologies, Python, and API debugging.
The role involves leading and scaling a team of AI Transformation Leads for strategic Fortune 100 accounts. Candidates must have 10+ years in strategic account management or transformation consulting, with 3+ years of direct people-management experience.
The Agency Development Manager role owns the independent and performance agency portfolio to drive revenue growth through strategic partnerships. Candidates require 8+ years of experience in agency or commercial partnership roles and strong client-facing skills.
The AI Tutor, Amharic role involves annotating multilingual audio clips and translating English content into Amharic to refine Grok's voice capabilities. Candidates must have CEFR C1 Amharic proficiency and CEFR B2 English proficiency, with experience in audio annotation or translation preferred.
This temporary role involves enhancing Grok by providing high-quality data annotations and labels focused on applied mathematics. Candidates must evaluate model outputs, identify errors, and produce rigorous solutions using expertise in numerical analysis, differential equations, and related fields.
The AI Tutor role involves annotating and labeling multilingual audio clips in Croatian to refine Grok's voice and language capabilities. Candidates must have CEFR C1 proficiency in Croatian and CEFR B2 proficiency in English, with experience in audio annotation or translation.
The AI Tutor, Design role involves enhancing Grok by providing high-quality data annotations and design evaluations. Candidates must have at least one year of professional design experience and a portfolio of work.
The role involves training and refining Grok's voice and language capabilities in Estonian by annotating audio clips and translating text. Candidates must have CEFR C1 proficiency in Estonian and CEFR B2 proficiency in English.
The role involves training and refining Grok's Finnish voice and language capabilities by annotating audio clips and translating text. Candidates must have Finnish proficiency at CEFR C1 or higher and English proficiency at CEFR B2 or higher.
This temporary role involves training and refining Grok's German voice and language capabilities by annotating audio clips and translating text. Candidates must have German proficiency at CEFR C1 or higher and English proficiency at CEFR B2 or higher.
This temporary role involves enhancing Grok by providing high-quality data annotations and inputs tailored to humanities contexts. Candidates must evaluate model outputs for factual accuracy and create training data using expertise in fields such as linguistics, history, and philosophy.
The role involves training and refining Grok's Icelandic voice and language capabilities by annotating audio clips and translating text. Candidates must have CEFR C1 proficiency in Icelandic and CEFR B2 proficiency in English.
The role involves training and refining Grok's voice and language capabilities in Latvian by annotating audio clips and translating text. Candidates must have CEFR C1 proficiency in Latvian and CEFR B2 proficiency in English.
This temporary role supports Grok training by providing high-quality legal annotations and data inputs. Candidates must hold a J.D., active bar admission, and at least two years of legal practice experience.
This temporary role involves annotating and labeling data to enhance Grok's materials science capabilities. Candidates must hold a Master's or Ph.D. in a relevant scientific discipline and possess advanced expertise in materials science subfields.
The role involves enhancing Grok by providing high-quality data annotations and labels focused on pure mathematics. Candidates must have a Master's or Ph.D. in mathematics or an IMO medal, along with CEFR C1 English proficiency.
The AI Tutor, Oromo role involves annotating multilingual audio clips and translating English content into Oromo to refine Grok's voice capabilities. Candidates must have CEFR C1 proficiency in Oromo and CEFR B2 proficiency in English.
This temporary role involves annotating and labeling physics data to enhance the Grok AI model. Candidates must hold a Master's or Ph.D. in physics and demonstrate expertise in specific physics subfields.
The AI Tutor, Portuguese role involves annotating multilingual audio clips and translating English text into Portuguese to refine Grok's voice capabilities. Candidates must have CEFR C1 Portuguese and CEFR B2 English proficiency, with experience in audio annotation or translation preferred.
The AI Tutor, Uzbek role involves annotating multilingual audio clips and translating English content into Uzbek to refine Grok's voice capabilities. Candidates must have CEFR C1 proficiency in Uzbek and CEFR B2 proficiency in English.
This temporary role involves training and refining Grok's video generation capabilities by annotating and evaluating video data. Candidates must have at least one year of professional experience in video editing, motion graphics, or VFX, along with a portfolio of relevant work.
This temporary role involves training and refining Grok's video generation capabilities by annotating and evaluating video data. Candidates must have at least one year of professional experience in video editing, motion graphics, or VFX, along with a portfolio of relevant work.
This temporary role involves training and refining Grok's voice and language capabilities in Vietnamese by annotating audio clips and translating text. Candidates must have Vietnamese proficiency at CEFR C1 or higher and English proficiency at CEFR B2 or higher.
This temporary role involves evaluating and refining AI-generated text to improve Grok's writing capabilities across various genres. Candidates must possess native or C2 English proficiency and verifiable expertise in at least one specific writing specialty.
The role involves training and refining Grok's voice and language capabilities in Yoruba by annotating audio clips and translating text. Candidates must have CEFR C1 Yoruba proficiency and CEFR B2 English proficiency, with experience in audio annotation or translation preferred.
The Application Security Engineer role focuses on securing cloud-native applications and AI systems across the software development lifecycle. Candidates must have a bachelor's degree and at least three years of experience in application security, with proficiency in Python or Rust.
The Application Security Engineer role protects the security and integrity of X Money's payments and financial products throughout the software development lifecycle. Candidates must have a bachelor's degree and at least three years of experience in application security, with a focus on code security and financial platforms.
The Architect for Data Centers & Workplace leads strategic planning and design for SpaceXSI's data centers and site builds. The role requires a Bachelor's degree in architecture, 15+ years of experience, and active architectural licensure.
The role involves owning the performance, reliability, and maintenance of a Megapack energy storage fleet supporting AI infrastructure in Memphis. Candidates must coordinate with Tesla field service teams, manage maintenance activities, and ensure compliance with safety and operational standards.
The role involves building and operating highly scalable backend infrastructure for the SpaceXSI API, which serves models to developers worldwide. Candidates must have experience with Rust or C++ and operating databases such as PostgreSQL, Clickhouse, and MongoDB.
The role involves building full-stack solutions for the Enterprise Agents Engineering Team at SpaceXSI, focusing on integrating AI with complex business systems. Candidates must have experience with Rust or C++ and designing reliable, horizontally scalable distributed systems.
The Barista role involves preparing coffee and beverages, maintaining equipment, and providing customer service in a food service environment. Candidates require a high school diploma, 2+ years of customer service experience, and familiarity with food safety principles.
The role supports SpaceXSI data center construction in Memphis/Southaven by building concrete formwork, platforms, and railings. Candidates need a high school diploma and at least three years of commercial or industrial carpentry experience.
The role involves inspecting welds on industrial piping and structural steel for SpaceXSI data centers. Candidates must hold a current AWS CWI certification and a high school diploma.
The role involves operating and maintaining critical mechanical, electrical, and plumbing (MEP) systems in supercomputing data centers. Candidates must have a bachelor's degree in engineering or two years of facilities experience, along with skills in troubleshooting and writing operational procedures.
The role involves leading civil and site development design for mission-critical data center campuses and power generation facilities. Candidates must possess a degree in civil engineering and 5+ years of experience in land development, hydrology, and stormwater management.
The Civil Engineer, Battery Storage role involves designing and maintaining electrical infrastructure for AI training campuses in Memphis, TN. Candidates must have a bachelor's degree in engineering and at least three years of civil or structural design experience on industrial or data center sites.
The Client Account Manager role involves collaborating with Fortune 500 advertisers to develop and optimize advertising campaigns on X's platform. Candidates must have a bachelor's degree and at least three years of experience managing digital marketing programs for advertisers or agencies.
The role involves managing digital marketing programs for advertisers and agencies in Greater China and APAC, focusing on X advertising products and campaign optimization. Candidates must have a bachelor's degree, 3+ years of experience, and fluency in English and Mandarin.
The role involves managing a portfolio of small and medium-sized advertisers and agencies for X advertising products. Candidates must have a bachelor's degree and at least two years of experience in digital advertising, sales, or media account management.
The Client Partner role drives revenue growth by building relationships with Fortune 500 companies and their agencies to sell advertising products. Candidates must have a bachelor's degree and at least eight years of experience in digital media sales.
The Client Partner role is based in Singapore and reports to the Regional Sales Manager. It requires at least seven years of sales experience in Greater China or APAC markets and fluency in English.
The Client Partner role in Dubai focuses on driving revenue growth for the X Ads Sales MENA team by building relationships with Fortune 500 companies and agencies. Candidates must have a Bachelor's degree, 10+ years of digital media sales experience, and fluency in English and Arabic.
The role involves developing partnerships and driving revenue for X by working with Chinese advertisers and agencies in the gaming sector. Candidates require 7+ years of experience in digital media sales with Chinese brands and strong communication skills.
This role is a hunter position responsible for owning and growing revenue from a portfolio of global brand advertisers across APAC. Candidates must have 7+ years of experience in digital advertising sales and strong relationships with brand clients and agencies in Southeast Asia.
The role involves fitting and welding large industrial piping and structural steel to ASME Section IX standards for SpaceXSI data centers. Candidates require at least three years of journey-level industrial construction welding experience or an equivalent apprenticeship.
The role involves negotiating high-value enterprise agreements and commercial contracts for AI products and services. Candidates must have 8+ years of legal experience, a J.D., and a California or New York law license.
The role involves executing electrical commissioning, testing, and handover for high-performance data center systems. Candidates require a bachelor's degree in electrical engineering and at least five years of commissioning experience.
The role involves leading mission-critical data center construction in Memphis, managing contractors, and overseeing end-to-end project execution. Candidates require 5+ years of experience in data center or construction projects and must be comfortable with on-site leadership and complex industrial electrical work.
The role involves leading mission-critical electrical construction efforts for a data center in Memphis, Tennessee. Candidates must have at least five years of experience managing data center or construction projects and oversee end-to-end project execution.
The role involves leading mission-critical mechanical construction efforts for a data center in Memphis, Tennessee. Candidates must have at least five years of experience managing data center or construction projects and oversee end-to-end execution, vendor coordination, and site safety.
The role involves leading mission-critical construction efforts for on-site power generation in Southaven, MS. Candidates must have 5+ years of experience managing power generation or industrial plant projects.
The role involves leading structural construction efforts for a data center in Memphis, managing contractors and overseeing project execution. Candidates require five or more years of experience managing data center or construction projects.
The role involves planning and executing lifts, signaling crane operators, and landing mechanical equipment for SpaceXSI data center construction. Candidates require three years of journey-level rigging experience or an apprenticeship, along with strong safety practices and the ability to travel extensively to sites.
The role involves developing and maintaining CPM construction schedules for data center projects, requiring 4+ years of experience in construction scheduling and project management tools. Candidates must analyze schedule impacts, produce look-aheads, and support claims documentation while working in a fully onsite environment.
The role oversees electrical contractors and crews building infrastructure for SpaceXSI's Memphis data center, including high-voltage systems and power distribution. Candidates require a high school diploma and at least three years of experience managing electrical construction teams and installations.
The role involves leading a self-performing electrical construction crew to build mission-critical infrastructure, including underground duct banks and high-voltage systems. Candidates must have at least three years of experience leading electrical teams and direct hands-on installation experience.
The role oversees electrical contractors and crews building infrastructure for SpaceXSI's Memphis data center, including high-voltage systems and power distribution. Candidates require a high school diploma and at least three years of experience managing electrical construction teams and installations.
This role leads a self-performing fluid/mechanical construction crew for SpaceX data centers, overseeing foremen and installations of HVAC, plumbing, and fire protection systems. Candidates require a high school diploma, 3+ years leading fluid/mechanical teams, and 3+ years of hands-on installation experience.
The role oversees mechanical contractors and crews building advanced HVAC, cooling, and fire protection systems for SpaceXSI data centers. Candidates require a high school diploma and at least three years of hands-on experience managing mechanical construction teams and installations.
The role oversees mechanical contractors and crews building advanced HVAC and cooling infrastructure for SpaceXSI's Memphis Data Center. Candidates require a high school diploma and at least three years of hands-on experience managing mechanical construction teams and installations.
The role oversees mechanical construction crews for SpaceXSI's on-site power generation plant in the Memphis region. Candidates must have at least three years of experience managing industrial construction teams and hands-on experience with mechanical installations.
The role oversees structural contractors and crews building advanced infrastructure for a SpaceXSI data center in Memphis. Candidates must have a high school diploma and at least three years of hands-on experience managing structural construction teams.
The role involves leading a self-performing structural crew to build launch sites, factories, and AI superclusters. Candidates must have a high school diploma and at least three years of experience leading structural construction teams and foremen.
The role oversees structural contractors and crews building advanced infrastructure for a SpaceXSI data center in Memphis. Candidates must have a high school diploma and at least three years of hands-on experience managing structural construction teams.
The role involves designing, commissioning, and maintaining plant control systems for power generation, including BOP PLC/HMI and SCADA integration. Candidates require a bachelor's degree in engineering and at least three years of experience in PLC, HMI, or SCADA engineering.
The role involves designing and commissioning control systems for supercomputer infrastructure, including cooling plants and electrical distribution. Candidates must have a bachelor's degree in engineering and at least one year of experience in automation and controls systems.
The Controls Technician role supports the implementation, maintenance, and troubleshooting of control systems for data centers and infrastructure. Candidates must have an Associate's degree in a technical field and at least three years of hands-on experience with industrial control systems.
This role provides hands-on support for the integration, commissioning, and maintenance of control systems across AI training campuses. Candidates require a high school diploma or equivalency and at least two years of experience with mechanical, electrical, pneumatic, or hydraulic systems in an industrial environment.
This is an entry-level line cook position in Memphis, TN, focused on food preparation and operating a station at SpaceX food outlets. Candidates must have a high school diploma or equivalency, plus a culinary degree or two years of food service experience, and must be able to stand for long periods and lift up to 25 lbs.
The Jr. Sous Chef role oversees kitchen inventory and food preparation setup within SpaceXSI's culinary team. Candidates require a high school diploma and at least three years of restaurant or food service production experience.
The Corporate Counsel role supports and leads strategic transactions such as mergers, acquisitions, and joint ventures while managing corporate governance and subsidiary matters. Candidates must hold a J.D., have 6+ years of corporate or M&A experience, and be admitted to a U.S. bar.
The role supports the corporate in-house legal department with entity management, corporate governance, and legal operations. Candidates must have a bachelor's degree, strong organizational skills, and the ability to thrive in a fast-paced environment.
The role involves advising the Starlink team on telecommunications laws and regulations in Europe and Africa. Candidates must have a law degree, an active license, and five years of experience in telecom regulatory compliance.
The Critical Facilities Technician role involves operating and maintaining mechanical, electrical, and plumbing systems in supercomputing data centers. Candidates must have a bachelor's degree in engineering or two years of facilities experience, along with skills in troubleshooting and writing operational procedures.
The Data Center Technician role manages server and network infrastructure health, focusing on mean time to detect and repair metrics. Candidates must have at least two years of experience troubleshooting and repairing server and network hardware.
The Data Center Operations Technician role involves maintaining server and network infrastructure at SpaceXSI data centers and global points of presence. Candidates must have a high school diploma and at least two years of experience with server, storage, compute, and network hardware.
The Data Visualization Engineer administers the Tableau BI platform and supports approximately 700 users across 12 department sites. The role requires building dashboards, managing data access controls, and partnering with stakeholders to create unified analytics solutions.
The role is a Director of Global Growth Marketing & Sales Enablement for SpaceXSI's Ads business, responsible for leading growth marketing strategy and the ads insights, measurement, and analytics function. Candidates must have 10+ years of progressive experience in growth marketing, digital advertising, or sales enablement, along with leadership experience managing marketing or analytics teams.
The Director, Power Plant Operations provides strategic and operational leadership for a gas turbine power generation facility supporting SpaceXSI's Colossus data center in Memphis. The role requires a bachelor's degree in engineering and at least eight years of experience in power generation operations, including five years of leadership experience managing technical teams.
The Director of Site Operations owns node and rack uptime for SpaceXSI's AI supercompute cluster across 5+ sites. The role requires leading a 250+ person organization and managing 24/7 operations to maintain exceptional Service Level Agreements.
The role manages the full lifecycle of technical documentation for data center projects, ensuring accuracy and compliance. Candidates require 3+ years of document control experience and proficiency with platforms like Aconex, Procore, and Bluebeam.
The role involves overseeing delivery and material transport for data center construction in Memphis, TN. Candidates must hold a Class A CDL and three years of short-haul commercial driving experience.
The role involves driving commercial vehicles to transport high-value data center materials between warehouses and sites. Candidates must hold a Class A CDL and have at least three years of short-haul commercial driving experience.
The role involves performing commissioning, testing, and troubleshooting of electrical systems for SpaceXSI's high-performance data centers. Candidates must have at least three years of hands-on experience in data centers or industrial facilities and current OSHA 10/30 certification.
The Electrical Design Engineer role supports SpaceXSI's Data Center team in designing and maintaining electrical infrastructure for AI training campuses in Memphis, TN. Candidates must have a bachelor's degree in engineering and at least three years of electrical design experience in data center, industrial, or utility facilities.
The role involves designing and optimizing power infrastructure for SpaceXSI's high-density AI supercomputing facilities in Memphis. Candidates must hold a bachelor's degree in electrical engineering and experience in battery storage, power transmission, or power generation.
The role involves designing, building, and activating data center electrical infrastructure, including power distribution, UPS, and generators. Candidates require a bachelor's degree in electrical engineering and at least three years of professional experience with electrical projects and power systems.
The role involves designing and optimizing on-site gas turbine power generation for SpaceXSI's AI supercomputing facilities in Memphis. Candidates must own plant electrical systems, including 34.5 kV export, protection, and switching, while performing power system studies and ensuring compliance with standards.
The role involves designing and building power systems for data center infrastructure, including power distribution, UPS units, and generators. Candidates must have a bachelor's degree in engineering and at least three years of experience with electrical projects and power distribution systems.
The role involves operating and maintaining medium-voltage electrical systems up to 34.8 kV at a power generation facility. Candidates must have a high school diploma and at least three years of experience as an electrical technician or industrial electrician.
The role involves installing and terminating new electrical infrastructure, including conduit, cable, and 480 V systems, for a data center construction project. Candidates must have a high school diploma, 5+ years of industrial or data center electrical construction experience, and the ability to read construction drawings and follow safety procedures.
The role involves installing and terminating new electrical infrastructure, including conduit, cable, and 480 V systems, for data center construction. Candidates must hold a current state journeyman electrician license and have at least five years of industrial or data center electrical construction experience.
The Operations Electrician maintains in-service substations and campus power facilities in Memphis, TN. The role requires 3+ years of licensed electrician experience and medium-voltage switching operations up to 161 kV.
The Events Lead role involves end-to-end ownership of external-facing events for SpaceXSI, including planning, vendor management, and onsite execution. Candidates require a bachelor's degree and at least five years of experience in event planning.
The Events Lead role involves end-to-end ownership of external-facing events for SpaceXSI, including planning, vendor management, and onsite execution. Candidates require a bachelor's degree and at least five years of experience in event planning.
The Executive Chef oversees multiple kitchen outlets and services, focusing on high-end food experiences for guests and VIPs. The role requires a culinary degree and at least four years of food service experience, or six years without a degree, plus two years in multi-outlet operations.
The Executive Sous Chef oversees multiple kitchen outlets and services, working with the executive chef to ensure consistency and coordinate VIP experiences. The role requires a culinary degree and at least four years of food service experience, or six years without a degree, plus two years in multi-outlet operations.
The Facilities Engineer role manages design, construction, and maintenance of critical SpaceXSI facilities in Memphis and Southaven. Candidates require a bachelor's degree in engineering, two years of facilities experience, and proficiency in AutoCAD or Revit.
The Facilities Engineer, Electrical role manages the design, construction, and maintenance of electrical systems and facilities at SpaceXSI sites in Memphis and Southaven. Candidates require a bachelor's degree in engineering, two years of professional experience, and proficiency in AutoCAD or Revit.
The Facilities Engineer, Mechanical (HVAC) role involves designing, constructing, and maintaining critical facilities and HVAC systems at SpaceXSI sites in Memphis and Southaven. Candidates must hold a bachelor's degree in engineering and have at least two years of professional experience in facilities engineering or construction.
The role involves designing, building, and maintaining advanced data center facilities in Memphis and Southaven. Candidates must have a bachelor's degree in engineering and at least one year of experience with MEP building systems.
This role supports the upkeep of supercomputing data center facilities by assisting with routine non-critical maintenance tasks under close supervision. Candidates must have a high school diploma and at least one year of experience in maintenance, facilities, or a hands-on role.
The role involves maintaining and repairing HVAC, plumbing, and mechanical systems in advanced data centers. Candidates require a high school diploma and at least three years of professional experience with HVAC, plumbing, or mechanical systems.
The Facilities Maintenance Technician role involves maintaining and repairing HVAC, plumbing, and mechanical systems in advanced data centers. Candidates require a high school diploma and at least three years of professional experience with HVAC, plumbing, pneumatic, mechanical, or electrical systems.
The role involves operating and maintaining critical mechanical, electrical, and plumbing (MEP) systems in supercomputing data centers. Candidates must have a bachelor's degree in engineering or two years of facilities experience, along with skills in troubleshooting and writing operational procedures.
The role involves operating and maintaining critical mechanical, electrical, and plumbing (MEP) systems in supercomputing data centers. Candidates must have a bachelor's degree in engineering or two years of facilities experience, along with skills in troubleshooting and writing operational procedures.
The Facilities Specialist supports the facilities maintenance organization by managing vendor contracts, purchasing, and project coordination for the Memphis AI training campus. The role requires a high school diploma and at least five years of facility vendor and contract management experience.
The Facilities Technician role maintains offices, support buildings, and grounds at the SpaceXSI Memphis campus. Candidates must have a high school diploma and at least two years of facilities maintenance experience.
The Fiber Technician role involves installing and maintaining fiber optic systems at SpaceXSI's Memphis data center. Candidates require at least one year of direct data center experience installing optical fiber in Tier 3 or 4 facilities.
The Fiber Technician role involves installing and maintaining fiber optic systems in data centers under the guidance of a Foreman Supervisor. Candidates require at least three years of direct data center experience installing optical fiber in Tier 3 or 4 facilities.
The role involves leading a team of technicians to install, maintain, and optimize fiber optic infrastructure at SpaceXSI's Memphis data center. Candidates must have at least four years of direct data center experience installing optical fiber in Tier 3 or 4 facilities and experience leading or mentoring fiber optic technicians.
The Fire Protection Engineer provides design support and subject matter expertise in fire protection, life safety, and building codes for SpaceX launch facilities. The role requires a bachelor's degree in engineering and at least two years of experience in fire protection system design or consulting.
The role involves designing, building, and activating fluid systems for power generation plants, including fuel gas, ammonia, water, and HVAC. Candidates must have a bachelor's degree in engineering and at least one year of experience with fluid systems or process engineering.
This entry-level role supports food and beverage operations across multiple teams in a fast-paced environment. Candidates must be cross-trained, flexible, and able to perform tasks such as food preparation, serving, and maintaining dining areas.
The Fraud Analyst supports the BSA/AML team in detecting and investigating financial crime risks, with a focus on fraud-related activity. The role requires 2+ years of direct experience in fraud investigation or risk management within financial services or fintech.
The Head of Financial Crime role involves building and owning the UK financial crime program for a consumer-scale payments business, reporting to the US BSA/AML Officer. Candidates must have at least eight years of experience in a regulated UK firm and the ability to manage AML, sanctions, and fraud controls.
This role involves traveling to construction sites to install and energize high-voltage substation equipment at 69 kV and above. Candidates must have five or more years of experience as a journeyman lineman or substation electrician and hold a journey-level lineman card.
The HR Coordinator supports employee onboarding, HRIS administration, and HR policy implementation for a diverse workforce. The role requires a bachelor's degree, administrative experience, and strong customer service skills in a fast-paced environment.
The Human Data Engineer role involves crafting and executing high-value data projects to support model training and evaluation at SpaceXSI. Candidates must have a STEM degree or four years of experience, along with skills in data analysis, dataset curation, and cross-functional collaboration.
The Human Data Manager partners with engineering teams to design and execute high-value data projects and evaluation strategies for model development. The role requires experience analyzing datasets, collaborating cross-functionally, and maintaining rigorous data integrity and truthfulness.
The HVAC Supervisor role involves leading a team to design, build, and maintain advanced data center facilities in Southaven and Memphis. Candidates must have a high school diploma and at least three years of facilities management experience.
The HVAC Technician role involves maintaining and repairing advanced data center HVAC and plumbing systems, including air handlers, chilled water, and cooling towers. Candidates require a high school diploma and at least three years of professional experience with HVAC, plumbing, or mechanical systems.
The role involves installing large-bore industrial piping systems for SpaceXSI data centers, including fitting, hanging, and testing pipe. Candidates require 3+ years of experience or an apprenticeship, along with the ability to read technical drawings and follow safety protocols.
The role involves fitting and welding large industrial piping and structural steel to ASME Section IX standards for SpaceXSI data centers. Candidates require at least three years of journey-level industrial construction welding experience or an equivalent apprenticeship.
The role involves designing and maintaining secure cloud and hybrid infrastructure across multi-cloud platforms. Candidates must have a bachelor's degree and at least three years of experience in cloud or infrastructure security.
The role involves designing and securing bare-metal, data center, and private-cloud infrastructure for SpaceXSI. Candidates must have a bachelor's degree and at least three years of experience in infrastructure or platform security.
The role involves calibrating, troubleshooting, and repairing instrumentation and controls for a 24/7 power plant supporting AI supercomputing. Candidates must have a high school diploma and three years of hands-on I&C maintenance experience in a power plant or similar facility.
The role involves analyzing inventory data, driving accuracy, and optimizing stock levels for high-value supercomputer materials and equipment. Candidates must have at least four years of inventory analysis experience and one year of SQL experience to support data center operations.
The role involves receiving, storing, and issuing high-value data center materials while maintaining inventory accuracy and supporting just-in-time material flow. Candidates require a high school diploma, at least one year of inventory control experience, and the ability to work 12.5-hour rotating shifts.
The role involves erecting structural steel and installing miscellaneous metals for SpaceXSI's data centers and supercomputing campuses. Candidates must have at least three years of ironworking experience and the ability to travel extensively to construction sites.
The IT Services Technician provides second-line technical assistance for hardware, software, and network issues to end-users. The role requires an associate's or bachelor's degree in a technical field and at least two years of experience in IT or helpdesk roles.
The IT Systems Engineer role involves building and managing on-premises Microsoft Windows Server infrastructure, including Active Directory, VMware Horizon VDIs, and SQL Server VMs. Candidates require 3+ years of experience in systems engineering for corporate Microsoft infrastructure and on-premises Active Directory management.
The KYC Analyst role involves performing first-line KYC and sanctions reviews, investigating complex cases, and supporting procedure updates for the X Money Compliance team. Candidates require at least one year of experience in KYC/AML, CIP/CDD, sanctions screening, or fraud operations at a fintech or bank.
The role involves independently operating and maintaining critical mechanical, electrical, and plumbing (MEP) systems in supercomputing data centers. Candidates must have a bachelor's degree in engineering or six years of facilities experience, with strong troubleshooting and safety compliance skills.
The Lead Data Center Technician role manages server and network infrastructure health, focusing on MTTD and MTTR metrics. Candidates require a high school diploma and 5+ years of experience in server, network, and inventory management.
The role involves leading a team to design, build, and maintain power systems for advanced data centers and facilities. Candidates must have a bachelor's degree in engineering and at least three years of experience with electrical projects, power distribution, and related systems.
The role involves leading a team of electrical engineers to design, build, and maintain power systems for advanced data centers. Candidates must have a bachelor's degree in engineering and at least three years of experience with electrical projects, power distribution, switchgear, UPS, and generators.
The Lead Engineer, Battery Storage role involves designing and operating high-capacity electrical infrastructure for AI training campuses in Memphis, TN. Candidates must have a bachelor's degree in engineering and at least eight years of power systems experience, including four years with utility-scale battery storage.
The Lead Engineer, Data Center role involves designing and maintaining electrical infrastructure for AI training campuses in Memphis, TN. Candidates must have a bachelor's degree in engineering and 10+ years of experience in high-power, high-voltage systems.
The role involves leading a team to design, build, and maintain electrical power systems for power generation projects. Candidates must have a bachelor's degree in engineering and at least three years of experience with electrical projects, power distribution, switchgear, UPS, or generators.
The Lead Engineer for Transmission & Distribution designs and manages high-voltage electrical infrastructure for AI training campuses in Memphis. The role requires a bachelor's degree in engineering and over 10 years of experience in transmission, substation, or generation interconnection engineering.
The Lead Fiber Technician leads crews in installing and testing fiber optic infrastructure for SpaceXSI data centers. The role requires 5+ years of fiber experience, 2+ years of supervisory experience, and extensive travel to support construction projects.
The Lead Technician, Power Generation role involves leading a crew to maintain on-site generation for high-density AI supercomputing facilities in the Southaven/Memphis area. Candidates must have a high school diploma and 5+ years of experience as a plant, process, or electrical technician with technical direction capabilities.
The role oversees warehouse and inventory operations for data centers, managing the receiving, storage, and issuance of high-value servers and infrastructure materials. Candidates must have at least two years of warehouse and inventory control experience, along with proficiency in data entry and inventory tracking systems.
The role involves leading a team of Receiving Specialists to oversee inbound operations for data center construction in Memphis. Candidates must have at least three years of receiving experience, including one year in a lead or supervisory capacity, and the ability to operate powered industrial equipment.
The role involves maintaining server and network infrastructure for data centers and global points of presence, focusing on reducing mean time to detect and repair. Candidates must have at least two years of experience with server, storage, compute, and network hardware, along with inventory management skills.
The role involves integrating Grok models into the Ads Platform to power candidate selection, ranking, auction, and campaign optimization. Candidates must have 3+ years of experience building large-scale, high-throughput AI-powered advertising products.
The role involves designing and architecting recommendation algorithms for a product used by 600 million monthly users. Candidates must have experience implementing recommender systems or deep learning applications at industrial scale.
The Critical Facilities Operations Manager at SpaceXSI Memphis owns the reliability and performance of data center infrastructure, including power, cooling, and environmental systems. The role requires a bachelor's degree in engineering and at least seven years of experience managing critical facilities systems and leading technical teams.
The role oversees operation and maintenance of office and support buildings at the SpaceX Memphis campus, including HVAC, plumbing, electrical, and grounds. Candidates require a bachelor's degree and five or more years of experience in facilities engineering or project management.
The Data Center Operations Manager oversees technicians and manages power, cooling, and networking to ensure 99.999% uptime for AI infrastructure. The role requires 5+ years of data center experience and 3+ years managing technical teams.
The role involves managing the design, build-out, and commissioning of automation, controls, and electrical systems at a power generation facility. Candidates must have a bachelor's degree in engineering and at least eight years of experience in automation and controls, including three years leading a team.
The Manager, Facilities Operations role at SpaceXSI Memphis oversees critical data center infrastructure, including power, cooling, and environmental systems. Candidates must have a bachelor's degree in engineering and at least seven years of experience managing critical facilities systems and leading technical teams.
The Manager, Fiber role leads fiber optic infrastructure activities at SpaceXSI's Memphis data center, overseeing large-scale installations and maintenance. Candidates require at least two years of data center fiber experience and one year of team supervision in a commercial or data center environment.
The Manager, Materials Management role oversees data center operations, focusing on inventory performance and continuous improvement. Candidates require an advanced degree with 3+ years of experience or a bachelor's degree with 5+ years in supply chain or operations.
The role involves leading O&M supervisors and technicians for a gas turbine power plant supporting AI supercomputing facilities. Candidates require a high school diploma, 6+ years in power plant operations, and 2+ years managing multi-discipline technical teams.
The Manager of Supercomputer Site Reliability Engineering oversees compute and infrastructure performance for SpaceXSI's multi-campus GPU infrastructure. The role requires a Bachelor's degree and significant experience leading technical teams in large-scale operations to drive uptime and repair velocity.
The Material Handler supports a large-scale data center construction project in Southaven, Mississippi, by receiving, staging, and delivering materials to field teams. The role requires a high school diploma, forklift experience, and at least two years in construction, warehousing, manufacturing, or logistics.
The Material Handler supports a large-scale data center construction project in Southaven, Mississippi, by receiving, staging, and delivering materials to field teams. The role requires a high school diploma, forklift experience, and at least two years in construction, warehousing, manufacturing, or logistics.
The role involves leading mechanical commissioning for high-performance data centers, including HVAC, cooling, and fluid systems. Candidates require 7+ years of hands-on experience in industrial commissioning and 3+ years in a lead or supervisory capacity.
The role involves performing commissioning, testing, and troubleshooting of mechanical systems for SpaceXAI's high-performance data centers. Candidates require at least three years of hands-on experience in mechanical, HVAC, or commissioning work within data centers or industrial facilities.
The role involves performing mechanical commissioning, testing, and troubleshooting for HVAC and cooling systems in SpaceXSI data centers. Candidates require 3+ years of hands-on experience in data centers or industrial facilities and current OSHA 10/30 certification.
The role involves designing, building, and activating data center facilities with a focus on thermal management, pumping, flow control, and HVAC systems. Candidates must have a bachelor's degree in engineering and at least one year of professional experience with fluid components such as valves, pumps, and heat exchangers.
The role involves designing, building, and activating data center infrastructure as a subject matter expert on HVAC and fluid systems. Candidates must hold a bachelor's degree in engineering and have at least one year of experience with fluid components such as pumps and heat exchangers.
The role involves operating and maintaining critical mechanical, electrical, and plumbing systems in supercomputing data centers. Candidates must have a bachelor's degree in engineering or two years of facilities experience, along with skills in troubleshooting and writing operational procedures.
This role involves installing and commissioning medium-voltage electrical systems for data center construction. Candidates must have 5+ years of experience at 5 kV or above and documented 15 kV or 35 kV termination experience.
The Megapack Field Technician role supports the operation and maintenance of SpaceXSI's Megapack energy storage fleet in Memphis. Candidates must have at least three years of field service experience with utility-scale battery energy storage systems and be proficient in low-voltage electrical systems and safety protocols.
The role involves designing and scaling GPU compute infrastructure, training frameworks, and data pipelines for ML systems. Candidates require a degree in a quantitative field and at least two years of experience with large-scale production environments, distributed systems, and Python or compiled languages.
The role is a Mobile Android Engineer position at SpaceXSI focused on building AI applications. Candidates must have experience in Kotlin, Jetpack Compose, and reactive programming.
The role is a Mobile Android Engineer position at SpaceXSI in London, focused on building AI applications. Candidates must have experience in Kotlin, Jetpack Compose, and reactive programming, with preferred skills in Rust and Android ecosystem tools.
The role involves building high-performance iOS applications for SpaceXSI's AI products using Swift, SwiftUI, and UIKit. Candidates must optimize performance, manage concurrency, and integrate APIs to deliver seamless user experiences.
The role is a Mobile iOS Engineer position at SpaceXSI in London, focused on building high-impact AI applications. Candidates must have experience with Swift, SwiftUI, and UIKit, along with strong product sense and performance optimization skills.
The role involves scaling synthetic coding data and optimizing mid-training data mixtures for large language models. Candidates must have production coding experience in Python, PyTorch, JAX, Rust, or C++.
The role involves working on post-training and reinforcement learning challenges, including reward modeling and preference optimization. Candidates must have experience writing production-quality code in Python, PyTorch, JAX, Rust, or C++.
The role involves designing and optimizing the inference stack for low-precision RL training and inference workloads at SpaceXSI. Candidates must have experience writing production-quality code in Python, PyTorch, JAX, Rust, or C++.
The role involves designing and implementing systems for RL workloads at SpaceXSI, including profiling and optimizing end-to-end training performance. Candidates must have experience writing production-quality code in Python, PyTorch, JAX, Rust, or C++.
The role involves designing and deploying large-scale fiber optic networks for data centers with hundreds of thousands of GPUs. Candidates must have a bachelor's degree or 8+ years of experience, with 5+ years in data center connectivity and structured cabling.
The role involves designing, deploying, and operating production datacenter and campus networks at scale, with a focus on routing, switching, and high-performance fabrics. Candidates must have experience with BGP, an interior routing protocol, and troubleshooting live production network incidents.
The role involves designing, deploying, and operating production datacenter and campus networks at scale, with a focus on routing, switching, and high-performance fabrics. Candidates must have experience with BGP, interior routing protocols, and troubleshooting live production network incidents.
The role involves designing and maintaining the operational technology network for battery storage systems at SpaceX's Memphis data center. Candidates must have a bachelor's degree or six years of networking experience, plus three years of industrial or OT network engineering experience.
The role involves designing and optimizing high-speed copper and optical interconnects for large-scale AI training and inference clusters. Candidates must have 8+ years of experience in high-speed interconnects and a Master's or Ph.D. in electrical engineering, photonics, or physics.
The role involves operating the Starlink network and supercomputer datacenter networks, executing incident response, and managing maintenance to ensure service uptime. Candidates require a high school diploma, one year of network operations experience, and the ability to perform day and weekend shifts.
The role requires a Network Security Engineer to manage firewalls, VPNs, and routing protocols within cloud-native infrastructure. Candidates need a bachelor's degree and at least four years of experience in network security engineering with a focus on switching and routing.
The role involves maintaining SpaceXSI's 24/7 on-site power plant in the Memphis region, supporting gas turbines, generators, and electrical systems. Candidates require a bachelor's degree in engineering and at least three years of power plant operation or maintenance experience.
The Operations Analyst supports the site director by turning plant data into decisions for generation performance, fuel use, and maintenance planning. The role requires a bachelor's degree and at least two years of experience in operations, data analytics, or a related planning role.
The Operations Engineer role supports the design and activation of advanced data centers by managing process flow, equipment integration, and project planning. Candidates must have a bachelor's degree in engineering and at least two years of experience in operations or process improvement.
The Operations Engineer role focuses on designing and activating advanced data center facilities while managing process flow and project planning. Candidates must have a bachelor's degree in engineering and at least one year of experience in operations or process improvement.
The Operations Engineer role owns 100% GPU uptime, incident response, and data hall sustainment for SpaceX's supercomputing infrastructure. Candidates require a bachelor's degree in engineering or a scientific discipline with 2+ years of data center or large-scale compute operations experience.
The Operations Specialist role manages 24/7 incident response and site sustainment for SpaceXSI's Memphis data centers. Candidates must have 2+ years of experience in datacenter or critical facilities operations and be able to work rotating schedules.
The Ops/Build Engineer role supports SpaceXSI by designing, building, and maintaining high-capacity electrical infrastructure for AI training campuses in Memphis. Candidates must have a bachelor's degree in engineering or 8+ years of substation field experience, along with 5+ years in high-voltage commissioning and testing.
The Optical Engineer role involves owning the physical optical layer for AI compute clusters, including fiber layout, link design, and connector architecture. Candidates require a bachelor's degree in engineering and at least two years of professional experience in fiber or optical design.
The OSP Engineer role supports the design, documentation, and coordination of outside plant fiber optic infrastructure. Candidates must prepare construction drawings and GIS route maps using AutoCAD and GIS tools while ensuring compliance with TIA/BICSI guidelines.
The role involves designing and maintaining mission-critical physical infrastructure networks for supercomputers and data centers. Candidates require a STEM degree or equivalent experience, plus 3+ years in network engineering and 2+ years in OT networking.
The role involves implementing and supporting backend infrastructure for next-generation controls and industrial software platforms within SpaceX's physical infrastructure. Candidates must have at least three years of experience in OT systems engineering or industrial control systems administration, with a focus on high-reliability settings.
The Plant Technician supports day-to-day operations, maintenance, and troubleshooting at a power generation facility. The role requires inspecting equipment, repairing mechanical and electrical systems, and following safety procedures in a fast-paced environment.
The role involves maintaining plumbing, heating, and drainage systems in advanced data centers while performing hands-on mechanical repairs and safety inspections. Candidates require a high school diploma and at least three years of professional experience working with plumbing systems.
The Plumbing Technician role involves assembling, installing, and repairing critical piping, pumping, and drainage systems for high-volume manufacturing. Candidates require a high school diploma and at least one year of plumbing experience to maintain facility infrastructure and respond to emergencies.
The Power Generation Engineer oversees daily operations and optimization of natural gas power generation plants to ensure reliable power delivery to SpaceX's AI datacenter. The role requires a bachelor's degree in engineering and at least one year of experience in power generation, with a focus on natural gas plants and turbines.
The Power Generation Technician operates and maintains critical mechanical, electrical, and plumbing systems in supercomputing data centers. The role requires a bachelor's degree in engineering or two years of facilities experience, along with skills in troubleshooting and writing operational procedures.
The role involves designing and maintaining high-capacity electrical infrastructure for AI training campuses in Memphis, TN. Candidates must have a bachelor's degree in engineering and at least three years of experience in power systems design and analysis.
The role involves designing and building power systems for data center infrastructure, including power distribution, UPS units, and generators. Candidates must have a bachelor's degree in engineering and at least three years of experience with electrical projects and power distribution systems.
The Process Technician builds, installs, and troubleshoots fluid and process systems at a power generation facility. The role requires a high school diploma and three years of experience with mechanical tools and pipe fitting.
The Product Counsel role advises SpaceXSI's product and engineering teams on legal matters related to AI, privacy, and content regulation. Candidates must hold a JD degree and bar admission, with preferred experience in in-house legal roles for consumer platforms.
The Production Coordinator supports data center construction and operations in Memphis, TN, or Southaven, MS, by managing inventory, schedules, and material delivery. The role requires a high school diploma, at least one year of supply chain or manufacturing experience, and the ability to lift 50 lbs.
The role involves leading a portfolio of data center construction programs and managing a team of Construction Project Managers. Candidates must have a bachelor's degree and at least 10 years of progressive experience in construction project or program management.
The Safety Integrity Program Manager, Harmful Activity drives priorities and system health for harmful activity across upstream and downstream systems. The role requires 5+ years of experience in content integrity or risk programs at scale, with skills in translating policy into practical workflows and driving cross-functional partners.
The Safety Integrity Program Manager, Regulated & Prohibited Content drives priorities and system health for content enforcement across upstream and downstream systems. The role requires 5+ years of experience in content integrity or risk programs, with skills in translating policy into practical workflows and driving cross-functional partners.
The role is a full-time, onsite Construction Project Manager for a data center in Memphis, Tennessee. Candidates must have a bachelor's degree in engineering and at least five years of experience managing large-scale construction projects.
The role is a Facilities Operations Project Manager for SpaceXSI in Memphis, TN, leading mission-critical facilities work across Southaven and Memphis sites. Candidates require a bachelor's degree, 5+ years of facilities operations experience, and strong engineering background to manage vendor relationships and complex projects.
The role involves designing, setting, and commissioning protection and control systems for large electrical infrastructure in a data center. Candidates require a bachelor's degree in engineering and at least three years of experience with medium or high-voltage protection and controls.
The Rack Design Engineer role involves owning the mechanical, structural, and integration design of high-density AI compute racks from concept through production. Candidates must have a bachelor's degree in engineering and at least two years of experience designing electromechanical hardware that was built and shipped.
The Receiving Specialist supports SpaceXSI data center operations by receiving, inspecting, and processing high-value materials and equipment. The role requires a high school diploma and at least three years of experience in supply chain, warehousing, or manufacturing environments.
The role supports the JAPAC Talent Acquisition team by scheduling interviews, maintaining ATS data, and coordinating candidate logistics. Candidates need at least one year of experience in coordination, recruiting, or HR support, with strong organizational and communication skills.
The Recruiting Coordinator role involves scheduling interviews, managing candidate logistics, and maintaining data integrity in the applicant tracking system. Candidates must have a bachelor's degree and demonstrate strong organizational, communication, and multitasking skills.
The Regulatory Legal Counsel role advises on EU, UK, and EMEA digital regulations, including the AI Act and DSA, for SpaceXSI products. Candidates must be qualified lawyers with over five years of experience in technology or digital regulation.
The Regulatory Legal Counsel role advises on EU, UK, and EMEA digital regulations, including the AI Act and DSA, for SpaceXSI products. Candidates must be qualified lawyers with over five years of experience in technology or digital regulation.
The Reliability Engineer role involves designing and maintaining critical data center infrastructure, with a focus on fluid and HVAC systems. Candidates must have a bachelor's degree in engineering and at least one year of experience with fluid components.
The role involves scaling the GRC program by providing deep expertise in NIST RMF, FedRAMP, and IL4/IL5 authorization processes. Candidates must manage continuous monitoring artifacts and partner with engineers to implement and validate security controls.
The role involves implementing GRC frameworks like SOC 2 and NIST CSF to ensure AI system compliance and audit readiness. Candidates must have 3+ years of GRC engineering experience and proficiency in cloud security compliance.
This role is a mid-to-senior GRC professional focused on third-party risk management and customer trust. The candidate will act as a presales engineer, complete vendor security questionnaires, and support sales with security expertise.
The role involves securing Kubernetes environments for X and SpaceXSI infrastructure by identifying risks and building durable fixes. Candidates need 3+ years in platform or Kubernetes security and must design tooling to enforce least privilege and defense-in-depth.
The role involves owning the product roadmap for billing systems and purchase flows across Grok, X, Grok Bot, and Cursor. Candidates must have 5+ years of product management experience and be able to contribute code to support delivery.
The role involves managing the accurate movement of high-value data center equipment and materials to support SpaceXSI operations. Candidates must have at least three years of shipping or logistics experience and be able to operate material handling equipment.
The Site Reliability Engineer role focuses on campus reliability for a large AI training data center, requiring ownership of monitoring architecture and incident command. Candidates need 5+ years of experience in site reliability or plant operations, along with proficiency in tools like Prometheus, Grafana, or industrial telemetry systems.
This role involves building and shipping features for the X Ads Platform, focusing on ad delivery, targeting, and AI-powered systems. Candidates should have strong software engineering fundamentals and experience building software through internships, projects, or full-time roles.
The role involves owning billing and monetization infrastructure for consumer subscriptions, including X Premium and SuperGrok. Candidates must have 5+ years of backend experience and lead a dedicated engineering team.
The role involves building and operating software stacks for data center site operations, including repair trackers and operational dashboards. Candidates require a bachelor's degree and at least three years of experience building and operating production software.
The role involves designing and operating production-grade realtime and batch data pipelines for the X product team. Candidates must have 3+ years of software engineering experience and proficiency in languages like Python, Rust, Scala, Go, or Java.
The role involves designing and operating large-scale data infrastructure, including Kafka, Spark, and Flink, for petabyte-scale processing. Candidates must have production experience with these systems and strong skills in distributed systems and performance optimization.
The Software Engineer, Evals role involves creating instruments to measure model capabilities and behaviors for SpaceXSI. Candidates must have at least three years of experience actively writing code and a strong attention to detail.
The role involves building reliable evaluation infrastructure for the RL infrastructure team at SpaceXSI. Candidates must write production-quality code in Python, PyTorch, JAX, Rust, or C++ and collaborate on developing new evaluations.
The role involves building scalable frontends, APIs, and features for the Grok chat portal to handle high query volumes. Candidates must have experience in TypeScript, Python, or Rust, along with knowledge of scalable architectures and Kubernetes.
The role involves developing multimodal AI experiences for image and video generation, understanding, and audio integration. Candidates must have experience with large-scale distributed machine learning systems and data-driven experiment designs.
The role involves designing and implementing scalable systems for Grok's AI-driven media experiences, including real-time multi-modal interactions and large-scale data pipelines. Candidates must have experience with consumer-facing products, high-throughput workloads, and Python or Rust.
The role involves designing and implementing scalable safety systems for Grok's multimodal media generation platform, including content moderation and risk detection. Candidates must have experience building production safety systems and proficiency in Rust to ensure responsible deployment of AI capabilities.
The role involves designing and optimizing massive GPU clusters and low-level CUDA kernels for AI training and inference. Candidates must have deep low-level systems programming experience in C/C++ and production-scale GPU cluster expertise.
The role involves building and maintaining a high-reliability Linux-based operating system and device drivers for SpaceXSI's supercomputers. Candidates must have hands-on systems programming experience in C or C++ and strong operating systems fundamentals.
The role involves building large-scale video services and rebuilding core media processing pipelines in high-performance languages. Candidates require 5+ years of experience in media, video, or streaming systems and proficiency in C++ or Go.
The role involves developing core networking software for the Colossus datacenter fabric to maximize performance and reliability. Candidates must have a bachelor's degree or two years of experience, along with development experience in C or C++.
The role involves building software and tools for network management, including metric collection, configuration, and auto-remediation for GPU supercomputing networks. Candidates must have a Bachelor's degree in engineering or STEM and experience with scalable software design.
The role involves building software and tools for network management, including metric collection, configuration, and auto-remediation for large GPU supercomputing networks. Candidates must have deep experience collaborating with network engineers and designing scalable software to orchestrate tens of thousands of devices.
The role involves designing and implementing scalable observability infrastructure for metrics, logging, and tracing at massive scale. Candidates must have production-level experience with Go, Rust, or Scala and a deep understanding of distributed systems.
The role involves designing and operating multi-service production systems for supercompute observability, including UIs, APIs, and data pipelines. Candidates must have programming experience in Python, Rust, C++, or Java and experience with database management systems.
The role involves designing and building a large-scale distributed system for a major supercomputing cluster. Candidates must have systems programming experience in C, C++, or Rust and hands-on experience with Kubernetes.
The role involves designing and implementing AI-powered security tools to protect Kubernetes-based infrastructure and customer-facing applications. Candidates must have 3+ years of professional experience building production software and experience with Docker and Kubernetes.
The role involves designing and building new storage and database features for an AI infrastructure platform serving 600 million users. Candidates must have 7+ years of software development experience and 2+ years building storage systems or databases.
The role involves building and maintaining a secure, scalable sandbox service that provides models with controlled access to computational environments. Candidates must have experience with Rust, C++, or Go, as well as virtualisation and containerisation technologies.
The role involves designing and optimizing large-scale model serving systems for Grok, including distributed infrastructure and low-level GPU optimizations. Candidates require a bachelor's degree in a science discipline and experience with low-level system programming in C/C++ or Rust.
The role involves designing and building software systems for Grok Voice, including distributed data pipelines and training infrastructure. Candidates must have experience with large-scale distributed systems and JAX or PyTorch.
The role involves designing and shipping voice features for Grok across iOS, Android, and other platforms. Candidates must have experience with Python or Rust and a track record of shipping features on mobile devices.
The role involves maintaining and improving systems that serve existing customers while designing new products for the X Developer Platform. Candidates must have a degree in computer science and 5+ years of industry experience working on commercial software.
The role involves backend development for a global payment network, focusing on microservices, APIs, and data models for high-volume environments. Candidates must have 2+ years of experience with large-scale consumer applications and proficiency in Rust, Go, Python, or Java.
The role involves backend development for a global payment network, focusing on microservices, APIs, and data models for high-volume environments. Candidates must have 2+ years of experience with large-scale consumer applications and proficiency in Rust, Go, Python, or Java.
The role involves managing cost controls, creating menus, and sourcing high-quality ingredients for the Memphis location. Candidates must have a high school diploma and at least three years of sous chef or culinary management experience.
This role is a Spring 2027 Business Operations Internship/Co-op at SpaceXSI in Palo Alto or New York. Candidates must be enrolled in a bachelor's or graduate program with at least three months of experience in corporate or business functions.
This role is a Spring 2027 software engineering internship or co-op at SpaceXSI in Palo Alto, CA. Candidates must be enrolled in a bachelor's or graduate program with at least three months of software programming experience and coding skills in languages such as Python, C++, or Java.
This role manages agency development and commercial architecture for Global Brands across APAC, focusing on Singapore and India. It requires 10+ years in media sales or agency leadership and the ability to structure deals and navigate complex agency structures.
The role involves owning complex ads and monetization escalations end-to-end for the Safety team. Candidates must have 4+ years in ads operations or Trust & Safety and experience mentoring specialists.
The role involves monitoring content and user behavior to enforce terms of service with a primary focus on protecting minors and mitigating child safety risks. Candidates require 3+ years of experience in online child safety or Trust & Safety operations, along with expertise in improving Large Language Models related to Child Sexual Exploitation.
The role involves monitoring content and user behavior to enforce terms of service with a primary focus on protecting minors and mitigating child safety risks. Candidates require 3+ years of experience in online child safety or Trust & Safety operations, along with expertise in improving Large Language Models related to Child Sexual Exploitation.
The Senior Analytics Engineer role involves designing and maintaining robust data pipelines and quantitative models to support high-impact analysis and decision-making. Candidates must have 5+ years of experience building production data infrastructure and proficiency in Python, SQL, and distributed computing frameworks.
The role involves independently investigating complex financial crime alerts and preparing Suspicious Activity Reports for X Money. Candidates must have at least four years of hands-on AML experience and strong analytical skills.
The role involves leading field execution and delivery of advanced electrical infrastructure projects, including high-voltage substations and data center power systems. Candidates must have a bachelor's degree and at least five years of construction project management experience.
The role involves independently operating and maintaining critical mechanical, electrical, and plumbing (MEP) systems in supercomputing data centers. Candidates must have a bachelor's degree in engineering or six years of hands-on facilities experience, with data center experience preferred.
The role involves independently operating and maintaining critical mechanical, electrical, and plumbing (MEP) systems in supercomputing data centers. Candidates must have a bachelor's degree in engineering or six years of facilities experience, with strong troubleshooting and safety compliance skills.
The role involves performing electrical commissioning, testing, and troubleshooting for high-performance data center infrastructure. Candidates require at least three years of hands-on experience with electrical systems and commissioning test equipment.
The role involves designing and managing electrical construction projects for high-voltage substations, data centers, and BESS in Memphis. Candidates require a bachelor's degree in engineering and at least five years of experience in electrical construction or power systems.
The role involves independently operating and maintaining critical mechanical, electrical, and plumbing (MEP) systems in supercomputing data centers. Candidates must have a bachelor's degree in engineering or six years of facilities experience, with strong troubleshooting and safety compliance skills.
The role involves designing and implementing enterprise IAM solutions across on-prem, cloud, and SaaS environments. Candidates must have 3+ years of IAM experience and expertise in protocols like SAML, OIDC, and OAuth 2.0.
The role involves leading data strategy by implementing ETL patterns and supporting dependable infrastructure for internal customers. Candidates require a bachelor's degree and at least five years of experience in data engineering roles.
The role involves maintaining server and network infrastructure for data centers and global points of presence, focusing on reducing mean time to detect and repair. Candidates require a high school diploma and at least five years of experience with server, storage, compute, and network hardware.
The role involves building and operating large-scale search engine infrastructure and training state-of-the-art ML ranking models for X Search. Candidates must have experience in Python, Go, and Rust, with preferred skills in vector databases and production ML systems.
The Sr. Manager of Facilities Maintenance leads a multi-layered organization responsible for building and grounds maintenance across the Memphis campus. The role requires a bachelor's degree and 8+ years of progressive experience in facilities maintenance, including 3+ years leading supervisors or managers.
The Sr. Manager, Materials Management role oversees data center operations for supercomputer clusters, focusing on inventory performance and continuous improvement. Candidates require an advanced degree with 4+ years of experience or a bachelor's degree with 5+ years in supply chain, distribution, or production planning.
The Sr. Manager of Memphis Power Plant Operations provides strategic and operational leadership for a gas turbine power generation facility supporting SpaceXSI's Colossus data center. The role requires 8+ years of power generation experience, 3+ years of leadership, and expertise in gas turbine operations, maintenance, and construction.
The role involves designing and managing fluid and HVAC systems for advanced data center facilities in Memphis, TN. Candidates must hold a PE license and possess over 10 years of experience with fluid components and thermal management.
The role involves independently operating and maintaining critical electrical and MEP systems in supercomputing data centers. Candidates must have a bachelor's degree in engineering or six years of facilities experience, with strong troubleshooting and safety compliance skills.
The role involves maintaining server and network infrastructure in data centers, focusing on reducing mean time to detect and repair. Candidates must have a high school diploma and at least five years of experience with server, storage, compute, and network hardware.
The role is a Senior Sales Manager for Starlink Enterprise Sales in Canada, reporting to the Enterprise Sales Director. The primary focus is driving adoption among large enterprise and Top Fortune accounts, with secondary coverage of SLED and government opportunities.
The role is a Senior Security Engineer focused on GRC for Japanese fintech and financial services in Tokyo. It requires 8+ years of experience with JFSA, APPI, and Compliance-as-Code to build automated security controls.
The role is a Senior Security Engineer focused on GRC for fintech and financial services at SpaceXSI. It requires 8+ years of experience in regulated financial environments and hands-on knowledge of PCI DSS, NYDFS, or FFIEC.
The role involves advancing multimodal intelligence across image, video, audio, and text by building large-scale distributed systems for pre-training, post-training, and inference. Candidates must have experience with multimodal training and strong proficiency in Python, JAX, or PyTorch to optimize web-scale data pipelines and model capabilities.
The role involves designing and building scalable search infrastructure, including real-time indexing and data pipelines, for high-performance systems. Candidates must have 5+ years of experience in large-scale infrastructure and proficiency in Rust, C++, or JVM-based languages.
The role involves leading structural design and analysis for large-scale data centers and compute facilities, including seismic and vibration control. Candidates must have a bachelor's degree in engineering, a PE license, and 10+ years of professional experience.
This role is a Summer 2027 Business Operations Internship/Co-op at SpaceXSI in Palo Alto or New York. Candidates must be enrolled in a bachelor's or graduate program with at least three months of experience in corporate or business functions.
This role is a Summer 2027 software engineering internship or co-op at SpaceXSI in Palo Alto, CA. Candidates must be enrolled in a bachelor's or graduate program with at least three months of software programming experience and coding skills in languages such as Python, C++, or Java.
The role oversees maintenance and performance of critical data center infrastructure, including power, cooling, and environmental systems. It requires a bachelor's degree in an engineering field and at least four years of experience managing and troubleshooting critical facilities systems.
The role involves leading a team of technicians for facilities maintenance, including HVAC, plumbing, and electrical systems, at SpaceX's Memphis campus. Candidates require a high school diploma, three years of facilities experience, and one year of team leadership.
The role involves overseeing server and network infrastructure health and performance across data centers while leading a team of technicians. Key requirements include five years of experience with server and network hardware, troubleshooting skills, and the ability to manage operational metrics like MTTD and MTTR.
The role involves leading a team of technicians to manage inspections, maintenance, and repairs for campus-wide systems at SpaceX data centers. Candidates require a high school diploma and at least three years of facilities management experience.
The role involves leading a team to design, build, and maintain advanced facilities in Southaven and Memphis. Candidates must have a high school diploma and at least three years of facilities management experience.
The role oversees maintenance and performance of critical data center infrastructure, including power, cooling, and environmental systems. It requires a bachelor's degree in an engineering field and at least four years of experience managing and troubleshooting critical facilities systems.
The role involves overseeing fiber optic cabling installation, modification, and splicing at SpaceXSI's Memphis data center. Candidates must have a high school diploma, 3+ years managing teams, and 3+ years of direct data center experience installing optical fiber in Tier 3 or 4 facilities.
The role involves supervising fiber optic installation and maintenance teams at SpaceXSI's Memphis data center. Candidates must have at least two years of supervisory experience and three years of direct data center fiber installation experience.
The role involves supervising fleet maintenance for automotive and industrial assets at SpaceX's Memphis facilities. Candidates must have a high school diploma, 4+ years of maintenance experience, and 2+ years of people leadership.
This role involves supervising hourly employees within SpaceXSI's logistics organization to ensure high inventory efficiency, accuracy, and customer service. The position requires a Bachelor's degree and 2+ years of experience in materials management, supply chain, or production, or 4+ years of experience without a degree.
The Supervisor, OSP Fiber leads a team of five technicians to install and maintain outside plant fiber infrastructure for a new data center. The role requires 5+ years of fiber experience, 2+ years of leadership, and hands-on proficiency with fusion splicing and testing equipment.
The Supervisor, Porter role manages inventory, ordering, and staff scheduling for the food services department. Candidates require a high school diploma, 2+ years of inventory and food service experience, and 1+ year of leadership experience.
The role involves leading a team of technicians to operate and maintain power generation systems for SpaceXSI's AI supercomputing facilities. Candidates require a high school diploma and at least three years of hands-on experience in a power plant or high-reliability industrial facility.
This role supervises hourly production coordinators and logistics teams supporting data center construction and operations in Memphis and Southaven. Candidates must have a bachelor's degree and two years of experience in materials management or supply chain, plus one year of supervisory experience.
The role leads the Austin-based Child Safety analyst team, managing escalations, NCMEC reporting, and the transition to automation-first workflows. Candidates require 5+ years in safety operations and 2+ years of team leadership experience.
The role involves supervising a team of commercial drivers to manage the safe and timely transport of high-value data center materials in Memphis. Candidates must possess a Class A CDL, three years of short-haul driving experience, and two years of formal supervisory experience.
The role involves resolving customer inquiries via voice, chat, and email for X Money, handling issues related to accounts, transactions, and disputes. Candidates require at least two years of customer support experience and proficiency with CRM and ticketing systems.
The Technical Account Manager leads technical implementation, integration, and optimization for GPU/CPU clusters across customer accounts. The role requires a bachelor's degree in a technical field and 7+ years of experience in large-scale compute or data center infrastructure.
The Technical Recruiter role involves owning full-cycle recruiting for technical positions within the SpaceXSI team. Candidates must have at least five years of experience recruiting for technical roles and demonstrate strong analytical and communication skills.
The Threat Intelligence Analyst role involves investigating and disrupting sophisticated threats such as platform manipulation, account compromises, and fraud on X. Candidates must possess SQL experience and the ability to conduct large-scale enforcement operations and communicate findings to cross-functional teams.
The role involves operating, maintaining, and troubleshooting gas turbine generator packages at a power generation facility. Candidates must have a high school diploma and at least three years of hands-on experience with gas turbines or rotating equipment.
The Vulnerability Analyst role focuses on assessing and mitigating security risks through vulnerability analysis and risk assessment. The ideal candidate requires deep expertise in vulnerability scoring, data analysis, and automation, with responsibilities including CVSS evaluation and Python scripting.
The role involves architecting and optimizing user-facing features for real-time conversations and fullstack applications. Candidates must have 2+ years of web development experience with TypeScript, Node.js, and modern frameworks.
Collected from configured official vacancy feeds. Organizations without a configured feed are not represented, so this is not a complete vacancy database. Applications open on the employer’s site. Feed updated 2026-11-01T01:33:28.023007+00:00.