OpenAI

Senior Product Policy Lead, Regulation

OpenAI$150K — $180K *
Consumer Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of experience in AI regulation, public policy, product policy, or a related field.
  • Deep understanding of artificial intelligence, including model capabilities, training, and safety mitigations.
  • Proven experience advising product and engineering teams on regulatory matters.
  • Strong ability to translate complex regulatory developments into actionable product specifications.
  • Excellent communication skills to liaise with technical teams, legal experts, and executives.
  • Familiarity with a range of AI policy issues including youth impacts and deceptive practices.

Responsibilities

  • Map and prioritize regulatory and legislative developments related to AI.
  • Translate external regulatory signals into actionable research and product requirements.
  • Advise internal teams on legal interpretation and implementation strategies throughout the product lifecycle.
  • Maintain clear traceability from external regulations to internal decisions and implementation strategies.
  • Identify and mitigate emerging risks associated with AI regulation based on external developments.

Benefits

  • Hybrid work model requiring 3 days in-office participation.
  • Relocation assistance for new employees.
  • Opportunity to work on cutting-edge AI policy issues.
Full Job Description
About the Role

As Product Policy Manager, Regulation, you will map external regulatory and legislative trends and synthesize them into concrete research, product, and policy requirements. You will connect deep expertise in regulation and public policy with a sophisticated understanding of AI and strong product judgment. Your remit will span frontier AI, youth, wellbeing, use in high-stakes domains, deceptive use, and other emerging issues. Working closely with Legal and Global Affairs, you will help Product, Engineering, Research, and Safety teams understand what external developments mean for their work, what decisions or evidence are needed, and how to act.

We're looking for someone who combines deep regulatory and public-policy expertise with an in-depth understanding of AI and a demonstrated ability to advise product and engineering teams. You should be able to move from complex external developments to clear decisions and requirements that teams can implement.

This role can be based in San Francisco or remote. 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:
  • Map and prioritize regulatory and legislative developments across jurisdictions and AI issue areas. Distinguish enacted requirements, proposals, guidance, and emerging expectations; assess their relevance, uncertainty, timing, and implications for our models and products.
  • Translate external developments into actionable research questions, evaluation needs, product requirements, and policy recommendations. Identify gaps in evidence, define the intended outcome and acceptance criteria, and make tradeoffs and open questions clear.
  • Advise Product, Engineering, Research, and Safety teams throughout design, launch, and iteration. Partner with Legal on legal interpretation and applicability, and with Global Affairs on legislative context and external engagement, to develop feasible implementation options and clear ownership.
  • Maintain traceability from external signals to internal decisions, requirements, and implementation. Track material changes, surface dependencies and emerging risks, and use research, product evidence, and expert input to refine recommendations and inform external policy discussions.


You might thrive in this role if you:
  • Bring substantial experience in AI or technology regulation, public policy, product policy, or a related field, including interpreting complex regulatory and legislative developments across jurisdictions and translating them into action.
  • Understand AI deeply, including model capabilities and limitations, training and deployment, evaluations, and safety mitigations. You can reason about how requirements differ at the model, product, and deployment levels and identify where further research is needed.
  • Have a strong record of product advising and close partnership with product managers, engineers, and researchers. You can turn ambiguous concerns into specifications, implementation options, acceptance criteria, and decisions that improve products.
  • Exercise sound judgment under uncertainty, prioritize across a broad portfolio, and manage work from an emerging external signal through implementation and iteration.
  • Communicate clearly and precisely with technical teams, legal and policy experts, and executives. You can explain regulatory complexity, distinguish evidence from assumptions, and resolve disagreement constructively.
  • Bring breadth across AI policy issues-including frontier risks, youth, wellbeing, high-stakes uses, and deceptive use-and the ability to build depth quickly with subject-matter experts, research, data, and user insights.

About OpenAI

OpenAI is an artificial intelligence research laboratory consisting of the for-profit corporation OpenAI LP and its parent company, the non-profit OpenAI Inc. The company was founded in 2015 by a group of technology leaders, including Elon Musk, Sam Altman, Greg Brockman, Ilya Sutskever, and John Schulman. OpenAI's mission is to develop and promote friendly AI for the betterment of humanity. The company has developed a number of cutting-edge AI technologies, including GPT-3, a language processing system that can generate human-like text. OpenAI has received funding from a number of high-profile investors, including LinkedIn co-founder Reid Hoffman and venture capitalist Peter Thiel.
Learn more about OpenAI
Size
100 employees
Industry
Founded
2015

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