AI Product Counsel
Supports enterprise products, model launches, customer data protections, administrative controls, integrations and strategic partnerships.
OpenAI’s current legal hiring spans AI product work, commercial transactions, infrastructure, litigation and regulatory matters, corporate transactions and regional commercial support. The pattern shows how a frontier-AI company separates legal work around products, compute, regulation, enterprise growth and global operations.
Independent career research. US TechLaw is not affiliated with OpenAI. Job availability can change quickly and should be checked on OpenAI’s official careers site.

Current OpenAI legal hiring includes AI Product Counsel, Product Counsel, Commercial Counsel, Infrastructure Counsel, Corporate M&A, Litigation & Regulatory and regional commercial legal roles. Current listings span San Francisco, New York City, Washington, D.C. and Singapore.
The recurring pattern is cross-functional work with Product, Engineering, Safety, Security, Privacy, Go-to-Market, Infrastructure, Finance, Procurement and other operating teams.
The roles are organized around distinct operating problems such as enterprise products, data centers, high-value transactions, regulatory investigations and global expansion.
Supports enterprise products, model launches, customer data protections, administrative controls, integrations and strategic partnerships.
Advises on product development and launch issues, including software and hardware-related product work.
Structures and negotiates commercial agreements while supporting sales, partnerships, procurement and operations.
Supports compute, colocation, first-party silicon, data-center development, power, construction and related transactions.
Handles regulatory investigations, enforcement matters and related litigation involving AI.
Supports M&A, strategic transactions and regional commercial activity, including APAC-focused work.
Compare your strongest legal domain with the operating team you would support: product, infrastructure, commercial, regulatory, corporate or regional expansion.
Send Your Query NowOpenAI’s current careers search shows multiple active Legal-team openings rather than one generic counsel position. Current roles include Associate General Counsel for Commercial Infrastructure, Counsel Commercial, Senior Commercial Counsel APAC, Senior Counsel AI Product Enterprise/API, Senior Counsel Commercial Infrastructure, Senior Counsel Corporate M&A, Senior Counsel Litigation & Regulatory and Senior Product Counsel. That breadth shows how frontier-AI companies are organizing legal work around distinct business and technical functions.
The legal team is described across technology, AI, infrastructure, privacy, intellectual property, corporate, employment, tax, regulatory and litigation domains. For candidates, “AI legal experience” is therefore not one skill. The stronger career question is which legal specialization can be applied credibly to a company building and deploying advanced AI systems.
OpenAI’s current Senior Counsel, AI Product (Enterprise/API) role supports ChatGPT Business, ChatGPT Enterprise and the API platform. The role partners with Product, Engineering, Safety, Security, Privacy, Strategy, Go-to-Market and other legal teams. Its work spans enterprise product development, model launches, customer-data protections, administrative controls, strategic partnerships and responsible deployment.
OpenAI’s current Senior Product Counsel role is focused on hardware products and the software that powers them. The lawyer works with software engineering, product, design and business teams from development through launch and ongoing support. As AI companies move into devices, robotics and other physical systems, product counsel may need to combine software, hardware, privacy, safety, commercial and regulatory judgment.
The current Counsel, Commercial role supports GTM, Partnerships, Procurement, Finance, Product, Infrastructure and Engineering. The work includes complex agreements, business-oriented legal advice, regulatory and privacy issues arising from transactions, and scalable frameworks for growth. This shows that many AI-company legal careers are fundamentally sophisticated technology-law and commercial roles.
OpenAI currently has dedicated infrastructure legal roles. Senior Counsel, Commercial (Infrastructure) supports strategy and transactions across a fast-growing infrastructure portfolio. The current Associate General Counsel, Commercial – Infrastructure role focuses on data-center development and colocation, including compute, first-party silicon, new data-center sites, power, construction and related arrangements.
This specialization matters because frontier AI depends on physical infrastructure, power, supply chains and large capital projects. Legal careers around AI therefore extend far beyond software licensing and privacy.
OpenAI’s current Senior Counsel, Litigation & Regulatory role leads regulatory investigations, enforcement matters and related litigation involving AI. It works with Legal, Product, Research, Safety, Security, Communications, Global Affairs and executive stakeholders. Candidates for this path need investigations judgment, technical fluency and the ability to convert complex factual records into clear legal strategy.
The current careers list also includes Senior Counsel, Corporate (M&A). Frontier-AI companies still need conventional high-level corporate expertise adapted to strategic transactions, acquisitions, partnerships and a rapidly changing technology business.
The current legal careers list includes Senior Commercial Counsel, APAC in Singapore. Regional counsel can combine commercial expertise with local regulatory understanding, cross-border transactions and coordination with a global legal team. For lawyers outside the United States, regional roles can be more relevant than U.S.-centric litigation or product positions.
Several patterns recur: deep underlying legal specialization, cross-functional operating ability, comfort with novel issues, scalable problem solving and enough technical and business fluency to understand the product or infrastructure context. Current commercial roles also emphasize building processes and frameworks that can support growth rather than answering each issue from scratch.
The current postings do not suggest that every candidate must already have worked at an AI company. They do emphasize strong relevant experience, often across in-house technology companies and technology-focused law firms. A commercial lawyer can be credible through complex technology transactions, an infrastructure lawyer through data centers or power, and a litigator through regulatory investigations involving technically complex industries.
Start with the role family rather than the company name. For AI Product Counsel, build product-lifecycle and launch experience. For Commercial, demonstrate complex technology transactions and scalable contracting. For Infrastructure, deepen experience around data centers, compute, energy, supply chains and construction. For Litigation & Regulatory, emphasize investigations, enforcement and technically complex disputes.
Then add AI-specific fluency around model deployment, enterprise APIs, agents, safety, privacy, security, compute and product architecture. The related Legal AI Skills for Lawyers page maps these cross-cutting capabilities.
OpenAI is not a legal-AI vendor in the same category as Harvey or Legora, but it is a major employer of lawyers working directly on AI products, infrastructure and regulation. The distinction is employer context: legal-AI vendors employ lawyers and legal engineers to build tools for legal professionals, while OpenAI employs lawyers to support its own AI products, infrastructure, transactions, disputes and regulatory obligations.
The broader Legal AI Companies page maps the company landscape, while AI Attorney Jobs, AI Product Counsel Jobs and AI Regulatory Counsel Jobs provide the role-level context.
Because frontier-AI hiring changes quickly, candidates should verify the current role title, location, reporting line, experience requirements, hybrid-work expectations and application status directly on the employer’s careers site. They should also distinguish between roles that require deep subject-matter specialization and roles that primarily reward broader technology-law experience. A current posting is evidence of how the legal function is structured, but it is not a permanent description of the team.
For career planning, the most durable signal is the capability pattern across several postings: strong legal depth, comfort with technical subject matter, cross-functional execution and the ability to build scalable legal processes inside a fast-moving organization.
Live career sources change. Verify the current OpenAI careers page before relying on a specific vacancy, location or requirement.
Compare OpenAI’s employer context with legal-AI platforms and established legal-tech providers.
Explore Legal AI CompaniesReview the broader AI counsel taxonomy.
Explore AI Attorney JobsReview product-design and launch responsibilities.
Explore AI Product CounselReview compliance, investigations and enforcement careers.
Explore AI Regulatory CounselUnderstand the product context around agentic capabilities.
Explore Agentic Legal AIMap the capabilities needed for AI-enabled legal work.
Explore Legal AI SkillsIndependent research boundary: This page analyzes publicly available OpenAI job postings and does not imply endorsement, affiliation, recruitment representation or inside knowledge of OpenAI hiring.
For AI-company legal career mapping, technology-law positioning, product counsel strategy or related professional questions, send the specific context for review.
Send Your Query NowLocation deep dive: OpenAI legal jobs in San Francisco sit inside a wider city market for product, infrastructure, regulatory and legal-technology roles.