It Audit Manager 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 Central Procurement – Hardware Operations team is building scalable, AI-enabled operating foundations for a rapidly growing hardware footprint. We help the business move quickly while maintaining the data quality and controls needed to manage financial and operational risk responsibly. As OpenAI scales across R&D, new-product introduction, manufacturing, and third-party custody models, we are building the foundations to absorb complexity without adding unnecessary friction. That means establishing practical standards, strengthening discipline where it matters, using AI thoughtfully, and continuously improving how teams manage hardware operations. About the Role We are hiring an Asset Compliance Program Lead to establish the cross-business framework that gives OpenAI reliable lifecycle visibility over hardware-related financial assets and capital equipment. You will define the controls, systems roadmap, and evidence practices needed to manage those assets within OpenAI’s financial-control scope. This is a senior individual-contributor role in Central Procurement – Hardware Operations within Finance. Distinct from sourcing and transaction execution, you will partner with hardware business units, Accounting, Financial Risk Management, Procurement, contract manufacturers, and other third-party custodians to deploy practical operating mechanisms. These mechanisms will connect how assets are purchased, built, received, moved, held, verified, and retired with the ownership, data, reporting, and evidence needed for financial governance. The role covers those assets regardless of location or custody, including manufacturing equipment and tooling, supplier- and contract-manufacturer-held assets, leased assets, and other third-party-held equipment. You will stay close to the operational details—how assets move, where records diverge, which controls are not working, and where evidence is incomplete—and use that view to strengthen processes, accountab

About the Role We are looking for a senior partner success and learning professional to activate cloud partners to co-sell and deploy customer solutions at scale. This role leads the enablement strategy and execution that equip partner teams to turn joint priorities into measurable customer and business outcomes. As a trusted advisor to strategic partners, you will turn shared business priorities into practical enablement programs that help partner sales, technical, customer success, and leadership teams identify joint opportunities, co-sell effectively, and deploy customer solutions successfully. You will own the partner enablement relationship for an assigned portfolio and work across internal teams to ensure programs are coordinated, scalable, and connected to measurable partner, customer, and business outcomes. This is not a traditional training delivery role or a quota-carrying partner account manager position. It is a consultative, partner-facing role for someone who can shape strategy, build relationships, translate complex AI capabilities into effective learning experiences, lead persuasive enablement sessions, and guide strategic partners toward sustained success. In this role, you will: Own strategic partner enablement and success Serve as the primary enablement and success lead for a portfolio of strategic cloud platforms. Develop a deep understanding of each partner’s business, priorities, audiences, existing learning infrastructure, and strategic relationship with our company. Build partner-specific enablement strategies aligned to shared goals, priorities, and the broader partnership strategy. Establish trusted relationships with partner leaders, alliance teams, enablement stakeholders, sales organizations, technical communities, and post-sales teams. Lead ongoing planning conversations, enablement reviews, stakeholder check-ins, and executive updates that keep partners and internal teams aligned. Identify gaps, risks, opportunities, and emerging partn

ABOUT THE TEAM Critical Harm Operations sits within User Safety & Risk Operations and builds enforcement systems for Frontier Risk and Material Harm that are accurate, fast, defensible, and built to scale. The Cyber vertical turns policy into reviewer standards, calibrated judgment, quality systems, escalation paths, and automation guardrails. ABOUT THE ROLE We are looking for a senior cybersecurity practitioner and operations strategist to raise the quality, scalability, and technical rigor of our Cyber Operations. You will combine hands-on cyber judgment with systems-level operating design: resolve the hardest dual-use questions, evolve SOPs, uplift reviewers and vendors, and build practical tools and automations. This is a senior IC role. Success is not primarily cases closed; it is durable improvement in the operating model and the reviewers who run it. IN THIS ROLE, YOU WILL: Drive the Cyber Operations operating model across domain priorities, SOPs, escalation paths, quality health, vendor capability, roadmap inputs and help inform trusted access strategies. Serve as the senior cyber expert for complex or high-risk decisions across ChatGPT, API, Codex, agents, and emerging product surfaces. Translate policy ambiguity, quality misses, appeals, and reviewer disagreement into clear decision rules, calibration examples, training, and tooling requirements. Build durable operating systems and quality loops: golden sets, holdouts, double-labeling, adjudication, error taxonomies, reviewer calibration, and automation evaluations. Raise FTE and BPO capability through onboarding, certification, coaching, recurring calibration, and vendor-performance partnership. Use quality, appeals, SLA, backlog, and disagreement signals to diagnose root causes and prioritize high-leverage fixes. Build hands-on solutions—SQL analyses, scripts, dashboards, LLM eval workflows, evidence enrichment, routing logic, and lightweight automations—that improve decision quality and reduce manua

About the Team At OpenAI, our User Safety & Risk Operations (USRO) team helps protect our products and users from abuse, fraud, safety risks, and other forms of misuse. We operate at the front line of real-world safety and risk management, translating user and operational signals into timely decisions, effective interventions, and improvements to our systems. This role sits on a team focused on building operational capacity for new, ambiguous, and fast-moving areas of work. The team defines what needs to be built, creates the operating model to support it, and works with partner teams to make the work scalable and durable over time. About the Role We are seeking a Device Safety & Risk Operations Specialist to build the safety operating model for a new category of consumer hardware. This is a senior individual-contributor role for someone who can turn emerging product risks and incomplete requirements into practical workflows, controls, launch plans, and durable systems. You will define how product-safety incidents, critical escalations, regulated cases, and privacy-sensitive issues should be identified, investigated, escalated, resolved, and learned from. You will also establish operational requirements for case management, data access, decision logging, quality assurance, monitoring, and cross-functional response. You will stand up priority workflows through launch and early operations, then help transition them into durable homes across USRO and partner teams. The right person combines deep operational judgment with strong technical and hardware product fluency. They can move from executive-level risk framing to detailed workflow design, tabletop exercises, launch readiness, frontline guidance, and post-launch improvement. Location / work model: San Francisco, CA; hybrid, 3 days/week in-office. Please note: This role may involve exposure to sensitive or concerning material. Strong discretion, judgment, and resilience are essential. In This Role, You Will:

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 mission is to ensure that artificial general intelligence benefits all of humanity. Customer Education plays an important role in that mission by helping people and organizations use increasingly capable AI systems effectively, responsibly, and with confidence. We help customers build the confidence and practical skills to use OpenAI effectively, change how work gets done, and realize lasting value. About the Role Helping organizations adopt AI takes more than access to powerful technology. People across the workforce need the skills and confidence to use it well. Within Customer Education, you will lead the enterprise learning program and team. You will set direction, develop the team, and build a clear, high-quality learning portfolio that moves customers from first learning to confident use and meaningful business impact. This is a rare opportunity to define how customers learn with OpenAI at global scale, alongside the teams shaping the technology. In this role, you will: Lead and develop a high-performing Customer Learning team. Own the customer-facing Learn experience, curriculum, and program portfolio—from strategy through results. Turn priority customer needs into role-based tracks, paths, and high-quality programs. Make the portfolio easy to understand, with clear starting points, progression, and relationships among experiences. Lead how learning reaches customers through owned and partner channels. Use customer and product evidence to measure impact and decide what to build, scale, improve, defer, or stop. You might thrive in this role if you: Build strong teams, grow talent, and create accountability. Shape education strategy from customer needs and turn it into programs with measurable impact. Make clear portfolio choices about investment, capacity, and focus. Turn complex learning into clear journeys customers can understand and use. Reach customers through owned and partner channels, building trust across teams. Qualifications

About the Team At OpenAI, our User Safety & Risk Operations (USRO) team helps protect our products and users from abuse, fraud, safety risks, and other forms of misuse. We operate at the front line of real-world safety and risk management, translating user and operational signals into timely decisions, effective interventions, and improvements to our systems. This role sits on a team focused on building operational capacity for new, ambiguous, and fast-moving areas of work. The team defines what needs to be built, creates the operating model to support it, and works with partner teams to make the work scalable and durable over time. About the Role We are seeking a Device Safety & Risk Operations Specialist to build the safety operating model for a new category of consumer hardware. This is a senior individual-contributor role for someone who can turn emerging product risks and incomplete requirements into practical workflows, controls, launch plans, and durable systems. You will define how product-safety incidents, critical escalations, regulated cases, and privacy-sensitive issues should be identified, investigated, escalated, resolved, and learned from. You will also establish operational requirements for case management, data access, decision logging, quality assurance, monitoring, and cross-functional response. You will stand up priority workflows through launch and early operations, then help transition them into durable homes across USRO and partner teams. The right person combines deep operational judgment with strong technical and hardware product fluency. They can move from executive-level risk framing to detailed workflow design, tabletop exercises, launch readiness, frontline guidance, and post-launch improvement. Location / work model: San Francisco, CA; hybrid, 3 days/week in-office. Please note: This role may involve exposure to sensitive or concerning material. Strong discretion, judgment, and resilience are essential. In This Role, You Will:

About the Team OpenAI’s Compute organization turns ambitious AI research into real-world capability by delivering the compute infrastructure behind our most advanced models. The team works across software, hardware, facilities, operations, and engineering disciplines to make enormous amounts of compute available, reliable, and efficient. As the demand for frontier AI grows, so does the complexity of the systems required to support it. Scaling this infrastructure means solving problems that cut across distributed systems, ML infrastructure, GPU fleets, power, cooling, networking, manufacturing, supply chain, and data center delivery. Our work is focused on expanding the compute foundation that enables OpenAI to train more capable models, including systems like GPT-5.6, and make frontier AI available to more people, products, and workflows. We’re looking for exceptional people across many disciplines to help build the next generation of AI infrastructure at a scale few organizations have attempted. About the Role We are hiring across a broad range of roles to help design, build, scale, and operate OpenAI’s compute infrastructure. Depending on your background, you may work on large-scale distributed systems, ML infrastructure, hardware systems, manufacturing, supply chain, data center development, or the physical engineering systems required to bring massive compute capacity online. You’ll work with teams across research, engineering, hardware, operations, and infrastructure to solve high-impact problems at extraordinary scale. This may include improving system reliability, accelerating deployment timelines, increasing operational efficiency, designing new infrastructure, or helping bring new compute platforms and facilities from concept to production. This is an opportunity to work on one of the most important infrastructure challenges in AI: building the compute foundation required to train and serve increasingly capable frontier models. Key Responsibilities Help bui

About the Team OpenAI’s Compute organization turns ambitious AI research into real-world capability by delivering the compute infrastructure behind our most advanced models. The team works across software, hardware, facilities, operations, and engineering disciplines to make enormous amounts of compute available, reliable, and efficient. As the demand for frontier AI grows, so does the complexity of the systems required to support it. Scaling this infrastructure means solving problems that cut across distributed systems, ML infrastructure, GPU fleets, power, cooling, networking, manufacturing, supply chain, and data center delivery. Our work is focused on expanding the compute foundation that enables OpenAI to train more capable models, including systems like GPT-5.6, and make frontier AI available to more people, products, and workflows. We’re looking for exceptional people across many disciplines to help build the next generation of AI infrastructure at a scale few organizations have attempted. About the Role We are hiring across a broad range of roles to help design, build, scale, and operate OpenAI’s compute infrastructure. Depending on your background, you may work on large-scale distributed systems, ML infrastructure, hardware systems, manufacturing, supply chain, data center development, or the physical engineering systems required to bring massive compute capacity online. You’ll work with teams across research, engineering, hardware, operations, and infrastructure to solve high-impact problems at extraordinary scale. This may include improving system reliability, accelerating deployment timelines, increasing operational efficiency, designing new infrastructure, or helping bring new compute platforms and facilities from concept to production. This is an opportunity to work on one of the most important infrastructure challenges in AI: building the compute foundation required to train and serve increasingly capable frontier models. Key Responsibilities Help bui

About the Team OpenAI’s Strategic Finance organization provides financial insights and guidance to support the company’s long-term strategy and ambitious growth. We work across Partnerships, GTM, Product, Compute, and Operations to allocate and deploy resources to the highest-impact opportunities while protecting sustainable unit economics. The B2B Strategic Finance team focuses on the financial performance of our B2B products and GTM functions, ensuring tight alignment between financial objectives and company strategy. We: Drive operational planning, financial forecasting, and performance management for our B2B business, Provide analytically-grounded insights on B2B product and financial performance to inform strategic resource allocation, Build the “0→1” financial foundations required to scale and accelerate growth. Within B2B, Partnerships are a critical lever to accelerate growth. You will help shape this business and drive successful outcomes from it. About the Role This Strategic Finance Partnerships hire will own our B2B Partnerships P&L and help drive strategic decision-making. You will be a critical finance partner to our Partnership teams, deal leads, Product owners, and Operations teams, responsible for pricing, structuring and driving success from partnerships, translating opportunities into decision- and exec-ready economics, and managing the overall Partnerships book of business. You will shape how OpenAI approaches Partnerships revenue targets, unit economics, investments, measurement, and prioritization. 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: Help manage the overall Partnerships business at a strategic priority, top-line impact, and resourcing / investment level. Own the financial evaluation of new B2B partnerships, modeling revenue, contribution margin, compute costs, cash flow, investment needs, and risk. Driv

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 Role We're looking for a Head of Competitive Intelligence to build and lead a world-class competitive intelligence function. This person will transform market signals into strategic advantage by developing the frameworks, analysis, and insights that inform our product strategy, go-to-market approach, and executive decision-making. This is not a research role. It's a highly cross-functional strategy role that sits at the intersection of Product, GTM, Research, and Leadership. You'll establish the systems, operating cadence, and analytical rigor that help the company understand where we win, where we're vulnerable, and how the market is evolving. What You'll Do Build and own the company's competitive intelligence strategy and operating model. Develop and maintain comprehensive competitive assessments, including Harvey Ball analyses, feature matrices, product comparisons, pricing analyses, and market landscape reviews. Create executive-ready competitive insights that influence product strategy, roadmap prioritization, pricing, and investment decisions. Build best-in-class objection handling and competitive messaging for Sales, Marketing, Customer Success, and Partnerships. Monitor competitor product launches, model releases, acquisitions, partnerships, pricing changes, funding, and GTM motions, synthesizing complex information into clear strategic recommendations. Establish repeatable processes and tooling for collecting, validating, and distributing competitive intelligence across the company. Partner closely with Product Management to inform roadmap decisions and identify areas of strategic differentiation. Collaborate with Marketing to sharpen positioning and messaging based on competitive dynamics. Support executive leadership with board-ready competitive analyses and market briefings. Build dashboards and reporting that track competitive movements and emerging industry trends. Develop frameworks that evaluate competitors across capabilities, enterprise r

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