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About the Team OpenAI’s Global Affairs team engages with governments, policymakers, civil society, community organizations, and other stakeholders around the world. The State and Local Government Affairs team leads OpenAI’s engagement with state and local governments across the United States and works cross-functionally to advance policies and partnerships that support OpenAI’s mission. About the Role As Government and Community Affairs Manager, you will help support OpenAI’s engagement with state and local policymakers, community organizations, civic leaders, educational institutions, workforce partners, and other stakeholders across California. Reporting to the State and Local Government Affairs Lead, Western Region, you will develop and maintain relationships with elected officials, agency leaders, legislative staff, local government representatives, and community partners. You will monitor and analyze policy developments, support advocacy and engagement strategies, and help ensure that California stakeholders understand OpenAI’s technology, mission, and approach to responsible AI development. This role extends beyond traditional government affairs. You will also help develop community partnerships, educational initiatives, events, and other programs that demonstrate how AI can benefit people and communities across California. You will work closely with colleagues across Global Affairs, Legal, Communications, Partnerships, Product, Go to Market, and other teams to connect OpenAI’s policy priorities with meaningful external engagement. Although the role will focus primarily on California, you may also support engagement in other Western states on an ad hoc basis. We are looking for someone who is flexible, collaborative, comfortable operating in a fast-moving environment, and able to approach emerging needs with sound judgment and a bias toward action. In this role, you will: Help develop and execute OpenAI’s state and local government affairs and community engage

About the Team The OpenAI Audit Team is on a mission to build the future of internal audit from the ground up. Our ambition will be powered by a high-energy, technically exceptional team with the judgment, intellectual curiosity, and creativity to harness the latest advances in AI and design a truly next-generation audit function. As AI reshapes how work is performed across the enterprise, Internal Audit will use AI, automation, and data analytics to identify and assess the most significant and emerging risks across the business, including technology, cybersecurity, finance, compliance, operations, and data. We will build trusted partnerships at every level—from the Board of Directors and senior leadership to the teams delivering on OpenAI’s mission every day. We will operate as both an independent assurance provider and a trusted advisor, bringing an objective and pragmatic perspective to critical decisions. By engaging closely with management while preserving our independence, we will help the business innovate responsibly, move with confidence, and manage risk without creating unnecessary barriers. About the Role As the Finance & Operations Audit Leader, you will help shape the strategy, methodology, technology, and culture of a new audit function. You will lead complex audits, forensic and investigative reviews, and advisory work across financial reporting, accounting, finance, and business operations, while addressing related compliance risks. You will advise leaders on practical ways to strengthen governance, execution, accountability, and risk management. You are an experienced, hands-on professional who combines deep finance and accounting knowledge with strong audit, risk, and business judgment. Your work will span across finance & accounting areas including treasury, tax, revenue, financial planning, business operations, and enterprise governance, with opportunities to apply forensic accounting techniques to complex transactions, anomalies, and pot

About the Team The Early Access Program (EAP) team leads high-impact alpha programs at the intersection of customers, Product, Research, Engineering, GTM, Security, Legal, and launch teams. We partner with customers to test emerging capabilities with real-world use cases, surface actionable insights, and support launch decisions. Our team is made up of builders who learn quickly, collaborate deeply, create clarity in ambiguity, communicate openly, and iterate constantly. About the Role We’re hiring an Early Access Deployment Engineer to lead technical engagements with customers who are leveraging our frontier capabilities to solve real-world use cases. You will work at the earliest—and often messiest—stage of development, when capabilities are still unclear, tooling and processes are evolving, and the path from promising technology to a valuable real-world application has yet to be defined. You will be a hands-on builder, problem solver, and technical partner to customers and our research/product team. You’ll push beyond initial assumptions, identify high-value use cases, prototype solutions, design useful evaluations, and troubleshoot what is and is not working. Managing multiple customer engagements at once, you will help customers navigate ambiguity and difficult technical decisions while translating their experience into clear, actionable feedback for Research and Product. You will also own the end-to-end execution of early access programs—from onboarding customers, supporting live experimentation, synthesizing findings, and informing launch decisions. You’ll collaborate deeply with Research, Product, Engineering, Applied Evals, GTM, Legal, Security, Marketing, and other launch partners to create clarity, manage risk, and keep programs moving through changing conditions. Success in this role means turning frontier capabilities into real-world customer value and high-quality research signals. You will develop reusable technical approaches from early deployments,

About the Team We're building the foundation for a new kind of AI coworker: persistent agents that have their own environments, can meet people wherever they work, and continue making progress for as long as a task requires. Our goal is to help individuals, teams, and organizations delegate meaningful work to AI—not just ask questions or complete a single turn. Our work brings together product, agent, and infrastructure capabilities across OpenAI. Together, we are creating always-on virtual coworkers that can carry context across tasks, operate through the right tools and channels, and deliver reliable results in real workplace environments. About the Role We’re looking for a full stack product engineer to shape how people discover, direct, and collaborate with AI coworkers. You’ll own product experiences end to end, spending roughly equal time building intuitive frontend surfaces and the backend systems that make agentic workflows persistent, reliable, and useful. You’ll work at the intersection of product engineering, design, agent capabilities, and enterprise readiness—turning rapidly evolving model and platform capabilities into experiences customers can understand, trust, and use every day. In this role, you will: Design, build, and ship full stack product experiences that help people and teams delegate meaningful work to persistent AI coworkers. Create intuitive frontend interfaces for directing agents, reviewing their progress, understanding their actions, and collaborating on the work they produce. Build backend APIs, services, and data models that support persistent agent state, asynchronous execution, orchestration, and progress reporting. Develop workflows that help agents access relevant context, use tools, and collaborate with people across workplace surfaces and channels. Partner with product, design, research, and engineering teams to turn shared capabilities into cohesive products. Build trust into the product through clear user controls, understanda

About the Team OpenAI's mission is to ensure that general-purpose artificial intelligence benefits all of humanity. Our Communications team includes External Communications, Internal Communications, and other strategic communications functions. The team's role is to clearly and authentically explain our technology, values, and approach to safely building powerful AI. About the Role We are seeking an exceptional communications professional to lead communications support for OpenAI's partnerships with federal, state, and local governments and our broader public-sector enterprise work. This person will help tell the story of how governments are using AI, support major customer and partner moments, and communicate about government work happening across priority areas including cybersecurity, biodefense, national security, science. This role will partner closely with public-sector go-to-market and partnerships, Global Affairs, legal, product, research, safety, and security teams to develop clear external communications for the public, media, policymakers, and customers. The ideal candidate will bring strong strategic and tactical communications judgment, move quickly and collaboratively on complex issues, and have a passion for technology and storytelling. In this role, you will: Developing and executing communications plans that educate press, policymakers, customers, and the public about OpenAI's government partnerships and public-sector work Building proactive campaigns and customer stories that demonstrate how AI can improve public services, strengthen government workforces, and support critical missions Supporting communications across priority areas including cybersecurity, biodefense, national security, science, and science. Building deep relationships with national, state, local, technology, policy, and enterprise media and managing inbound requests Partnering cross-functionally with Global Affairs, public-sector go-to-market, legal, product, research, safety, se

About Team Our Robotics team is focused on unlocking general-purpose robotics and advancing toward AGI-level intelligence in dynamic, real-world environments. Working across the full model and systems stack, we integrate cutting-edge hardware and software to explore a broad range of robotic form factors. We strive to seamlessly blend high-level AI capabilities with the physical constraints of real-world systems to improve people’s lives. About Role We are building a supply-chain organization capable of supporting our transition from laboratory-scale development to factory-scale operations. We are looking for an Inventory Manager to build and operate our inventory function from the ground up. This is a highly hands-on role. In the near term, you may start with an empty room and be responsible for determining what racks, shelving, bins, labels, scanners, workflows, and systems are needed to turn it into a functional stockroom. You will receive material, organize inventory, perform counts, move parts between buildings, resolve discrepancies, and establish the processes others will eventually follow. As we grow, you will have the opportunity to develop this foundation into a full-scale, multi-site factory inventory operation. You may hire and manage contractors or onsite inventory administrators, but this role will initially have a significant individual-contributor component and will remain accountable for day-to-day execution. This role owns inventory and internal logistics. It does not own purchasing, production planning, or inbound and outbound supplier logistics. This role is based in San Francisco, CA and requires in-person presence 5 days a week. In this role you will: Build inventory operations from the ground up across various OpenAI facilities. Design and set up stockrooms, receiving areas, and material-storage locations, including selecting racks, shelving, bins, carts, labeling equipment, scanners, and other infrastructure. Personally execute core inventory

About the Team The ChatGPT Consumer Marketing team helps people understand, adopt, and get lasting value from one of the world’s most widely used AI products. We work across product, brand, creative, growth, media, lifecycle, research, communications, social, partnerships, and international markets. We bring the voice of users into product decisions and build marketing that makes powerful technology feel clear, useful, and human. About the Role We are looking for an Integrated Marketing Manager to shape how ChatGPT shows up for students and young adults. This is an opportunity to own the strategy end to end—from how ChatGPT supports student and campus life to how it becomes a creative partner as young people pursue their ambitions. You will turn a deep understanding of this audience into positioning, experiences, and programs that earn genuine relevance and participation. Your work will span campus communities, student ambassadors, creators, partnerships, activations, social, paid and owned channels, and the product itself. The right person is an uncommon combination of strategist, operator, and creative thinker. You can uncover and articulate a sharp audience insight, translate it into a compelling plan, bring original ideas to the table, and stand up the work needed to deliver them. You have strong instincts for youth culture, know what will resonate without chasing trends, and can align teams around a clear vision for the audience. This role is based in San Francisco, CA, or New York, NY. We use a hybrid work model of three days in the office per week and offer relocation assistance to new employees. In this role, you will: Own the end-to-end integrated marketing strategy for students and young adults, from audience insight and opportunity identification through execution, optimization, and learning. Define the role ChatGPT can play across academic life, campus life, creative expression, and the transition from education to career. Turn audience and cultural insi

About the Team OpenAI’s Industrial Compute organization is building the infrastructure required to support the next generation of frontier AI systems. Through a combination of strategic partnerships and self-built data center campuses, we are scaling the power, cooling, electrical, mechanical, and controls infrastructure needed to deliver compute at unprecedented scale. The Commissioning organization is responsible for ensuring this infrastructure is safely tested, validated, integrated, and transitioned into reliable operations. For our self-build campuses, the team operates through a hybrid delivery model: OpenAI provides commissioning leadership, discipline ownership, governance, and project integration, while commissioning partners provide field and test engineering capacity to support inspections, startup, testing, and turnover. About the Role We are seeking a Commissioning Project Lead to own the commissioning strategy and execution for a large-scale, self-build data center project. You will lead the overall commissioning program from early construction planning through startup, functional testing, integrated systems testing, and final turnover. You will establish the commissioning execution plan, integrate commissioning activities into the master project schedule, coordinate multidisciplinary readiness, and lead the vendor commissioning partners providing field and test engineering capacity. This role serves as the primary commissioning interface to project leadership, construction management, contractors, equipment vendors, operations, and commissioning partners. You will be responsible for creating clarity across organizations, identifying readiness and schedule risks early, and ensuring the facility progresses through testing and turnover against clearly defined acceptance criteria. The role will initially support planning and coordination in a hybrid capacity and transition to full-time onsite presence as construction, inspections, startup, testing, and t

About the Team OpenAI's mission is to ensure that AGI benefits all of humanity. The Business Systems team helps make that mission possible by building the internal products and platforms that allow OpenAI to operate with speed, reliability, and care. We build internal applications and workflows for Finance and Supply Chain. Our work spans product discovery, React and TypeScript interfaces, Python services and APIs, data models, workflow orchestration, enterprise integrations, and the systems that connect people to systems of record. We work directly with the people who use these products and care about correctness, permissions, auditability, and production reliability. Examples of our work include building an integration platform for supply chain integrations, integrations with Oracle Fusion and Zip, contract intelligence applied to B2B revenue recognition, and Temporal-based agentic workflows for credit checks, duplicate bank detection, and invoice triaging. We turn these efforts into reusable patterns that can support many workflows, rather than one-off automations. About the Role We are looking for Product Engineers to build internal applications end to end. This role spans product discovery, user experience, frontend, backend services, data models, workflow orchestration, and integrations with order management, fulfillment, and supply chain systems. You will take a problem from a first conversation with a Finance or Supply Chain partner through design, implementation, rollout, and production support. Strong candidates combine product judgment with engineering depth. You should be comfortable moving between a React interface, a Python API, a durable workflow, and an integration with an enterprise system. You should be able to ship a useful first version quickly while building the foundations for reuse, security, and long-term maintainability. Direct AI experience is helpful, but the core requirement is strong product engineering judgment and reliable execution. I

About the Team The Systems Integration team is responsible for building the infrastructure, tooling, and validation systems that ensure our device software our device software is reliable, testable, and ready to ship. We design and maintain build systems, CI pipelines, automated test frameworks, and hardware-in-the-loop labs to enable rapid, safe product launches. Our work spans build systems, developer tools, systems integration, and cross-team collaboration to ensure developers can build reliably and ship with confidence. About the Role We are looking for an engineer to help evolve OpenAI’s Consumer Products build and continuous integration systems for a fast-growing engineering organization. This role sits at the intersection of developer productivity, build systems, distributed infrastructure, software quality, and on-device software. You will work on the systems that determine how quickly and confident engineers can move: Bazel-bazed builds, Buildkite pipelines, test coverage, remote caching and execution, CI observability, and tooling that helps engineers understand and fix failures quickly. Our mission is to enable OpenAI to ship software running on consumer devices rapidly with a high bar for correctness, reliability, and safety. The best version of this work is invisible when it succeeds: builds are fast, tests are trusted, CI failures are understandable, and engineers can focus on shipping products instead of fighting infrastructure. This role is based in San Francisco, CA. We use a hybrid work model of four days in the office per week and offer relocation assistance to new employees. In This Role, You Will Own and evolve Bazel and yocto-based build and test workflows in a polyrepo environment Design and maintain Starlark rules, macros, toolchains, and integrations that make builds hermetic, reproducible, and easy for teams to adopt Improve CI performance and reliability across Buildkite pipelines, including queue time, build time, cache hit rates, retry b

About the Team Our Cyber team builds AI systems and products that help trusted defenders understand and respond to cyber threats while improving the safety and reliability of frontier models in security-sensitive settings. The team works across product engineering, model training, evaluations, safeguards, and deployment to make advanced cyber capabilities useful to defenders and responsibly managed. We collaborate closely with Safety/Preparedness, Research, Security, Legal, Communications, GTM, and external partners across OpenAI’s broader cyber work. About the Role We’re looking for research and software engineers to join Codex Cyber. You’ll help define and ship security products, work with trusted defenders and customers, shape model training and access patterns, and build research and evaluation systems for assessing cyber capabilities, validating safeguards, and improving training data. This role is hands-on and cross-functional, connecting product launches, model development, safety work, and real-world security use cases. In this role, you will: Help define and execute the technical roadmap for Codex Cyber’s security products, including evaluations, safeguards, trusted-defender workflows, and deployment decisions. Work with trusted defenders, customers, and partner teams to understand cyber use cases, evaluate risk, and turn feedback into product and research priorities. Shape cyber-specific model training and access patterns, including data, evaluations, validation, and deployment criteria. Build and validate systems for measuring cyber capabilities, monitoring misuse risk, and proving safeguards work in practice. Collaborate with Safety/Preparedness, Research, Security, Legal, Communications, Go-to-Market, and external partners on company-wide cyber priorities. Translate frontier cyber research into launch-ready tools, operational playbooks, and durable infrastructure for Codex and security products. You might thrive in this role if you: Enjoy 0 -> 1 envi

About the Team OpenAI's research training infrastructure powers how our frontier models are trained and evaluated. The Simulation team sits at the intersection between the agentic harness that powers OpenAI's products and the research infrastructure where GPT-next is trained, ensuring that our model's training environment is as realistic as possible. This team owns the integration layer that connects our production harness capabilities into the training stack. The work is highly cross-functional and high leverage: researchers depend on it to run experiments and evaluations reliably as well as to develop the next generation of harness capabilities. Failures in this surface can materially affect training velocity and correctness. About the Role We're looking for a Principal Software Engineer to lead the architecture and evolution of the Simulation Platform. You'll own a critical interface between research and engineering, building the systems, APIs, and operational patterns that let researchers use agentic coding infrastructure safely and effectively in training environments. This role is ideal for a senior backend or infrastructure engineer with strong technical judgment, product sense for highly technical users, and the ability to drive execution across multiple teams. The highest-leverage work is building robust infrastructure that supports and accelerates research without compromising engineering quality. In this role, you will Design, build, and evolve the integration between the Codex harness that powers OpenAI's products and research training infrastructure used for training GPT-next Build a platform for our LLMs to train and be evaluated in simulated environments that mimic their deployment setting as closely as possible, on every axis: agentic harness, compute substrate, timing, tools, data sources, humans in the loop, and more Own major integration surfaces end-to-end, from architecture and API design through rollout, operations, and long-term maintenance Bu

About the Team The Support team is central to ensuring that our customers' experience with our products is nothing short of exceptional. We resolve complex issues, provide technical guidance, and support customers in maximizing value and adoption from deploying our products. We work closely with Sales, Technical Success, Product, Engineering and others to deliver the best possible experience to our customers at scale. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises. About the Role As a Product Engagement Specialist on the User Operations team you will be a hands-on systems builder responsible for making product launches and frontline feedback more scaleable, measurable and actionable across both internal User Operations and external third-party teams. You’ll be responsible for not only managing the project timelines, but also designing and shipping the workflows, tooling and data systems that connect the voice of the user into actionable improvements for Product and Engineering teams. We’re looking for people who thrive at the intersection of project management, team enablement, and customer advocacy, and enjoy working cross-functionally in a fast-paced, evolving environment. We are also looking for individuals that will not just do the day to day work - but will also be deeply involved in architecting the systems of feedback sharing and collection with our stakeholder groups across Support, Product, and Engineering. Think data systems, not better slide decks. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Design, build, and own scalable systems for launch readiness, feedback capture, triage, synthesis, and routing. Coordinate product launches across internal User Operations teams and external third party teams to ensure seamless execution and support read

About OpenAI OpenAI’s mission is to ensure that general-purpose artificial intelligence benefits all of humanity. We build models and products that help people learn, create, and solve problems—and we work to do so safely and responsibly. About the Team OpenAI’s products are talked about by people, not just press and pundits. More than 900 million people use our tools each week, learning from one other and passing along what works. Their stories shape our reputation and encourage others to try our products. Our community team builds direct relationships & channels with people who use our tech then amplifies their stories and use cases so peers can learn from them and channels their insights to our product and research teams. About the Role We are seeking an exceptional Technical Community Program Manager to help manage and scale a high-signal community of advanced ChatGPT Pro users. This is a hands-on, technically fluent role at the intersection of community-building, product enablement, user research, product education, and editorial storytelling. You do not need to be a full-time software engineer, but you should be comfortable understanding technical workflows, asking sharp technical questions, using the latest AI tools, and helping advanced users explain what they are building. You will report to the Head of Pro Subscriber Community and will be based in New York City. In this role, you will: Run and grow a high-signal community Help manage and deepen engagement with the ChatGPT Pro cohort of advanced users across disciplines Design and execute high-touch community programming, including product demos, office hours, show-and-tell sessions, peer-learning formats, and in-person events Build repeatable systems for onboarding, engagement, retention, and member communications Build deep relationships with exceptional users Identify, recruit, and onboard new individuals doing high-impact work with ChatGPT and Codex Conduct in-depth interviews and maintain ongoing r

About the Team OpenAI’s Infrastructure Operations team is responsible for the availability, reliability, and operational excellence of one of the world’s largest AI infrastructure networks. The team owns day-to-day operations of production AI networks across Industrial Compute's data centers, working with colocation providers, deployment teams, and hardware vendors to deliver highly available GPU infrastructure for AI training and inference workloads. About the Role We are seeking an Infrastructure Operations Engineer to operate and improve the large-scale Ethernet fabrics that support GPU clusters, storage systems, and management infrastructure. This role combines hands-on production operations with automation, observability, and incident response across a global AI network. The ideal candidate has experience operating high-availability data center, cloud, AI, or HPC networks and can move comfortably from physical-layer troubleshooting to routing and fabric behavior, change execution, and root-cause analysis. You will partner closely with network architecture, systems engineering, GPU engineering, storage engineering, security, deployment, site operations, service providers, colocation partners, and hardware vendors to raise reliability and reduce operational toil. Key Responsibilities Own the operational health, availability, and reliability of production AI network infrastructure across Industrial Compute's data centers. Monitor, troubleshoot, and resolve network incidents while meeting service-level objectives (SLOs), reducing Mean Time to Detect (MTTD), and minimizing Mean Time to Recovery (MTTR). Operate and maintain large-scale Ethernet fabrics supporting GPU compute, storage, and management networks. Execute production network changes, maintenance windows, and capacity expansions with minimal customer impact. Manage the hardware lifecycle, including switch and optics replacements, RMA coordination, software upgrades, and preventive maintenance. Support new A