Fast Track Onboarding Specialist 2 in United States

About the Team The Product Marketing team shapes how customers understand, adopt, and realize value from OpenAI’s technology. We work across Product, Research, Sales, Solutions, Partnerships, and Customer Success to bring customer insight into our product strategy and translate technical capabilities into clear, credible stories and solutions. About the Role AI becomes meaningful when it helps people do the work that matters to them. For a finance team, that might mean understanding complex information faster. For a healthcare provider, it might mean navigating clinical workflows more effectively. For a sales or marketing team, it might mean creating entirely new ways to reach and serve customers. We’re looking for a senior product marketing leader to shape how OpenAI serves the business functions and industries where our technology can make a meaningful difference. You’ll define how our models and products meet the needs of teams such as sales, marketing, and finance, as well as industries including financial services, healthcare, and retail. Working closely with Product, Research, Sales, Solutions, and Partnerships, you’ll identify important customer problems, influence product strategy, and build relationships with the ecosystem partners and data providers needed to bring complete solutions to market. You’ll also build and lead the product marketing team responsible for turning these opportunities into durable customer value. You might thrive in this role if you: Have 12+ years of experience in product marketing, industry marketing, solutions marketing, or enterprise go-to-market, ideally across enterprise software, cloud, data, developer, or AI platforms. Have built and led high-performing teams, mentored senior marketers, and know how to create clarity in fast-moving, ambiguous environments. Understand how different industries and business functions evaluate technology, adopt new tools, and define value. Have shaped positioning and go-to-market strategies for c

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 International Strategy & Operations team supports the growth and management of OpenAI’s business outside the United States. We work across products, markets, and functions to ensure our technology reaches and benefits users and customers around the world. Our team is responsible for being the glue between global and regional teams—bringing together market performance, local context, and cross-functional priorities to create a clear plan for winning in international markets. We advocate for the regional leaders closest to our users and customers, while giving company leadership the ground truth and structured recommendations needed to make the right decisions and tradeoffs. About the Role We are looking for a world-class, scrappy, and dynamic strategy and operations leader who spikes in analytical thinking, business judgment, executive communication, and operational execution. You will work closely with global leadership, regional general managers, and cross-functional partners to identify growth opportunities, build operating plans, and drive high-priority initiatives from conception through execution. You will be expected to operate at all altitudes—from translating complex market dynamics into clear recommendations for senior executives to working directly with product, growth, data science, and go-to-market teams to unblock execution. Success in this role requires the ability to bring structure to ambiguity, turn data into actionable insights, influence without authority, and drive meaningful business outcomes across a fast-moving and increasingly global organization. In this role, you will: Build the operating plan. Translate strategic priorities into clear goals, workstreams, owners, milestones, and decisions. Identify cross-functional dependencies early and ensure teams remain aligned on execution. Drive market growth initiatives. Work with product, growth, marketing, data science, and regional teams to identify and execute opportunities

About the Team OpenAI Finance ensures the organization is positioned for long-term success as we pursue our mission. The Revenue team plays a critical role in enabling OpenAI to scale commercial offerings by overseeing billing operations, deal desk, revenue systems, revenue accounting, and controllership. We work cross-functionally with Product, Engineering, Go-To-Market, Tax, Legal, and Technical Accounting to support new monetization strategies, improve operational efficiency, and maintain financial integrity as the business grows. About the Role This senior leader will own key elements of Ads revenue accounting from technical assessment through operational execution. The role will guide accounting for products, pricing, contracts, incentives, credits, refunds, makegoods, international expansion, and new go-to-market motions. It will establish governance and translate approved accounting positions into launch, billing, data, close, reconciliation, and control requirements. Success requires deep technical revenue expertise, strong business partnership, and the ability to build durable 0-to-1 processes in a fast-changing environment. Advertising is a critical and growing monetization vector for OpenAI, and this role will help shape the financial foundations that enable Ads to scale responsibly and transparently. 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: Lead technical accounting assessments for Ads products and commercial arrangements, including performance obligations, variable consideration, allocation, principal-versus-agent, collectibility, contract modifications, refunds, incentives, credits, makegoods, and revenue presentation. Own and continuously evolve Ads revenue accounting policies and operating guidance as product behavior, pricing, contracting, incentive programs, and billing models change. Establish governance for new pro

About the Team API Agents builds the shared agent harness, tools, and infrastructure that turn OpenAI’s frontier models into systems that can reliably complete real work. We carry the capabilities behind Codex into a much broader set of products and workflows across software engineering, research, finance, healthcare, enterprise operations, and more. Our work spans search and connected context, computer use, memory, delegation and multi-agent coordination, and safe execution. Sitting at the intersection of Research, Codex, infrastructure, and applied product teams, we build reusable agent capabilities that compound across the ecosystem. About the Role We are looking for an experienced backend software engineer to build the core systems behind the next generation of agents. You will design reliable services and abstractions that help agents find the right context, use tools and computers, retain knowledge, coordinate over long-running workflows, and take action safely. The role combines deep backend and infrastructure work with strong product judgment, with opportunities to work across agent runtimes, orchestration, search, execution environments, identity and permissions, observability, and evaluations. This is software and systems engineering rather than model training: success comes from strong backend fundamentals, high agency, and the ability to turn fast-moving research capabilities into dependable production primitives. In this role, you will: Design, build, and operate the shared agent harness and backend infrastructure that power long-running, high-value workflows across OpenAI and third-party products. Build reusable capabilities across search and connected context, computer use, memory, tool execution, delegation, subagents, and multi-agent orchestration. Establish the foundations agents need to operate safely in production, including secure execution environments, identity and permissions, observability, evaluations, reliability, and cost and latency effi

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 Cybersecurity & Technology Audit Leader, you will help shape the strategy, methodology, technology, and culture of a new audit function. You will lead complex audits and advisory reviews of cybersecurity, technology, data, and AI-related risks while advising leaders on practical ways to strengthen governance, resilience, and risk management. You are an experienced, hands-on professional who combines deep technical expertise with strong business judgment. You can quickly move between executive-level governance questions and detailed technical analysis, use data to identify and assess risk, and form clear, well-supported conclusions in fast-moving or ambiguous situations. You will have meaningful influence over how the function develops, including how we apply AI, automation, and analytics to audit planning, testing, monitoring, and reporting. T

About the Team OpenAI is a frontier AI research and deployment company. Frontier research is at the center of how we advance our mission, with researchers, engineers, product leaders, operators, and many other teams working together to turn new capabilities into systems that benefit humanity. The People team helps OpenAI attract, engage, and support the exceptional talent this work requires. Employer Brand sits at the intersection of Research, Recruiting, Communications, Marketing, and Brand. Its mandate is to continue to establish OpenAI in the talent market as the unique and leading frontier research lab—not simply another technology company—and make our distinctive research environment, mission, culture, and opportunity for impact relevant and tangible to every priority talent audience. About the Role We’re hiring an Employer Brand Manager to build and scale the strategy, narrative, and operating system that shape how priority talent understands OpenAI. This senior individual contributor will anchor our employer brand in OpenAI’s identity as a frontier research lab and translate an evidence-backed “why OpenAI / why now” narrative into campaigns, researcher and employee stories, recruiter and hiring manager enablement, and candidate experiences. This role is especially important as OpenAI competes for exceptional talent across research, engineering, product, and other mission-critical functions in a fast-moving field where external perceptions can be incomplete or change quickly. You will develop a clear, credible talent narrative for priority audiences—anchored in frontier research and substantiated by individual agency, world-class infrastructure, research-to-product translation, deployment scale, and a willingness to answer hard questions candidly. This role is responsible for ensuring the external brand resembles our culture and ethos internally, therefore must remain immersed in various OpenAI research and applied branches. This role is based in San Francisco

About the Team OpenAI’s Legal team plays a crucial role in advancing our mission by tackling novel and consequential legal issues in AI. The commercial infrastructure legal team supports the systems and facilities that make advanced AI possible, including compute, first-party silicon, colocation, and first-party data center development. About the Role We’re seeking a senior commercial infrastructure lawyer to lead legal work across our rapidly growing data center development and colocation portfolio. You will advise on complex, high-value transactions involving new data center sites, power, construction, colocation, and related infrastructure arrangements. This role is designed for a lawyer who understands how data centers are developed and operated—not a general real estate practitioner. You will work closely with infrastructure, finance, procurement, and operations teams, while coordinating outside counsel where appropriate, to help projects move quickly and responsibly. San Francisco is preferred, and occasional travel may be required. In this role, you will: Lead commercial legal strategy and risk management for data center development and colocation transactions. Draft, negotiate, and advise on colocation agreements, construction agreements, power-related arrangements, and other contracts supporting data center development. Support first-party projects involving raw land, site and power rights, design and construction, EPC models, third-party build-to-suit structures, and leasebacks. Partner cross-functionally with infrastructure, finance, procurement, operations, and other stakeholders on fast-moving, complex projects. Manage and collaborate effectively with outside counsel across a high volume of infrastructure matters. Develop scalable legal playbooks and contracting approaches for a growing portfolio of data center sites. You might thrive in this role if you have: 12+ years of legal experience, primarily in commercial legal roles. Deep, hands-on experience

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. This team’s ethos is to support OpenAI's mission and goals by clearly and authentically explaining our technology, values, and approach to safely building powerful AI. About the Role We’re looking for a senior communications leader to shape how OpenAI communicates about its emerging ads and monetization business. This person will define the global narrative, lead communications for major product and business milestones, and build sustained programs that explain our approach to ads and monetization clearly and credibly. The role will be central to showing how OpenAI can develop advertising experiences that are useful to people, valuable to businesses, transparent in how they work and consistent with our mission. You will work closely with Product, Go-to-Market, Marketing, Policy, Legal and Partnerships to anticipate opportunities and risks, develop integrated campaigns and help the business scale with trust. You will also serve as a trusted advisor to senior leaders on positioning, reputation, media strategy and the broader industry conversation. This is both a strategic and hands-on role. The right person will be comfortable defining a long-term communications strategy, building the systems and relationships needed to execute it, and personally leading through high-profile launches and fast-moving issues. This role reports to the VP of Communications and is based in San Francisco, CA. We use a hybrid work model of four days per week in the office and offer relocation assistance In this role, you will: Define and lead communications strategy for OpenAI’s ads and monetization initiatives, from global narrative development through launches and sustained storytelling. Build a clear, differentiated story about how OpenAI approache

About the Team The legal industry team works with law firms, in-house legal departments, legal technology companies, and other members of the legal ecosystem to understand how AI can support serious professional work. The team collaborates across Product, Research, Engineering, Design, Go-to-Market, Partnerships, Safety, Security, and Legal. We believe the strongest progress in legal will be built with the ecosystem. Our goal is to help customers and partners use OpenAI's capabilities in ways that are useful, trustworthy, and complementary to the products, expertise, and relationships that already serve the field. About the Role As a Product Manager you will help lead OpenAI's work with the legal industry. This is a high-ownership, hands-on role for someone who can turn incomplete information into clear priorities and shipped work. We’re looking for people who will spend time with customers and partners, work closely with researchers, engineers, designers, and operators, and keep complex work moving across teams. You will have meaningful ownership, but your success will depend as much on collaboration, follow-through, and judgment as on strategy. Success will depend on detailed, behind-the-scenes work in a fast-moving environment that can sometimes be chaotic. The right person will work very hard, get their hands dirty, and stay calm when the path is unclear. The work is also important and substantive: you will help shape how powerful technology is used in a consequential profession. 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: Turn customer, partner, market, and model evidence into a clear product strategy and roadmap for OpenAI’s work with the legal industry—including what to build, what not to build, and where ecosystem partners should lead. Define requirements and take products from early concept through real-world use and iteration.

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 the Role We’re looking for a Competitive Intelligence Lead, a senior individual contributor reporting to the Head of Competitive Intelligence, to help operationalize and scale the company’s competitive intelligence capability. This person will own high-priority competitive analyses, executive-ready insights, and GTM enablement that help Product, Sales, Marketing, Customer Success, and leadership understand where we win, where we’re vulnerable, and how the market is evolving. This is not a traditional research role. It is a hands-on strategy role at the intersection of Product, GTM, Research, and Leadership. You will turn competitor movements, customer feedback, product data, and market signals into clear recommendations that influence roadmap decisions, positioning, pricing, sales execution, and executive decision-making. What You'll Do Partner with the Head of Competitive Intelligence to translate the company’s CI strategy into repeatable analyses, operating rhythms, executive materials, and GTM enablement. Own high-priority competitor deep dives, market landscape reviews, pricing analyses, product comparisons, Harvey Ball assessments, feature matrices, and strategic opportunity/risk assessments. Create executive-ready insights that inform product strategy, roadmap prioritization, GTM planning, pricing, and investment decisions. Develop best-in-class competitive messaging, objection handling, battlecards, and enablement content for Sales, Marketing, Customer Success, and Partnerships. Monitor competitor product launches, model releases, acquisitions, partnerships, pricing changes, funding activity, customer announcements, and GTM motions. Synthesize fast-moving and complex market information into clear implications, recommendations, and decision-ready narratives. Partner closely with Product Management to identify areas of differentiation, competitive gaps, customer pain points, and emerging opportunities. Collaborate with Marketing to sharpen positioning, me

About the Team Training Runtime designs the core distributed machine-learning training runtime that powers everything from early research experiments to frontier-scale model runs. With a dual mandate to accelerate researchers and enable frontier scale, we’re building a unified, modular runtime that meets researchers where they are and moves with them up the scaling curve. Our work focuses on three pillars: high-performance, asynchronous, zero-copy tensor and optimizer-state-aware data movement; performant, high-uptime, fault-tolerant training frameworks (training loop, state management, resilient checkpointing, deterministic orchestration, and observability); and distributed process management for long-lived, job-specific and user-provided processes. We integrate proven large-scale capabilities into a composable, developer-facing runtime so teams can iterate quickly and run reliably at any scale, partnering closely with model-stack, research, and platform teams. Success for us is measured by raising both training throughput (how fast models train) and researcher throughput (how fast ideas become experiments and products). About the Role As a Training: ML Framework Engineer, you will work on improving the training throughput for our internal training framework, while enabling researchers to experiment with new ideas. This requires good engineering (for example designing, implementing, and optimizing state-of-the-art AI models), writing bug-free machine learning code (surprisingly difficult!), and acquiring deep knowledge of the performance of supercomputers. In all the projects this role pursues, the ultimate goal is to push the field forward. We’re looking for people who love optimizing performance, understanding distributed systems, and who cannot stand having bugs in their code. Since our training framework is used for large runs with massive numbers of GPUs, performance improvements here will have a large impact. This role is based in San Francisco, CA. We use a

About the Team OpenAI's Industrial Compute organization is building the world's most advanced AI infrastructure ecosystem. Working alongside our cloud partners, infrastructure providers, and internal engineering teams, we operate hyperscale AI campuses that support the training and deployment of frontier AI models. The Site Operations team serves as OpenAI's on-site operational presence, helping ensure campuses operate safely, efficiently, and in alignment with Industrial Compute standards. We work closely with Hardware Operations, Infrastructure Delivery, Network Operations, Security, Facilities, Construction, and our infrastructure partners to support day-to-day site execution and maintain operational readiness. As Industrial Compute continues to expand globally, Site Operations plays a critical role in ensuring each campus is prepared to support reliable AI infrastructure at scale. About the Role We are seeking a Site Operations Technician to support the daily operation of Industrial Compute campuses. This role acts as OpenAI's on-site technical representative, helping coordinate activities across hardware operations, facilities, construction, logistics, security, and external service providers. You will perform routine site inspections, support asset tracking, coordinate vendor activities, assist with operational readiness, document site conditions, and help ensure infrastructure issues are identified and resolved quickly. The ideal candidate enjoys working in highly technical environments, is detail-oriented, and thrives in fast-paced operational settings where no two days are the same. Key Responsibilities Perform routine walkthroughs of Industrial Compute facilities to verify operational readiness and identify potential issues. Monitor site conditions and report abnormalities involving hardware spaces, network rooms, utilities, logistics areas, and common infrastructure. Support coordination of vendors, contractors, and partner organizations performing work o

About the Team We bring OpenAI's technology to the world through products like ChatGPT and the OpenAI API. We seek to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. Safety is more important to us than unfettered growth. About the Role We are looking for an experienced Research Engineer to work on retrieval & search problems across our API and ChatGPT. As the AI landscape has evolved over the last few years, retrieval & search have emerged as key use cases for our models, and we are investing in ensuring that we can offer these search-based product experiences for our users. You will be at the center of our retrieval & search efforts as a company, and the progress you drive here will reach millions of end users. In this role, you will: Work on retrieval & search algorithms and methodologies in close collaboration with our research team, including problems in such domains as document search, enterprise search, knowledge retrieval, and web-scale search. Deploy these search methodologies into production in both the API and ChatGPT to be used by millions of end users. Explore novel research topics in retrieval & search that may inform our product strategy in the medium and long term. Partner with researchers, engineers, product managers, and designers to bring new features and research capabilities to the world You might thrive in this role if you: Have extensive prior experience building and maintaining production machine learning systems. Have prior experience working with vector databases, search indices, or other data stores for search and retrieval use cases Have prior experience building and iterating on internet-scale search systems Own problems end-to-end, and are willing to pick up whatever knowledge you're missing to get the job done Have the ability to move fast in an environment where things are sometimes loosely defined and may have competing priorities or de