Primary record

Product Policy Research and Advisory Partnerships

OpenAI Indexed employerNew York City
Source-hosted applyChecked 3h ago$302K–$335K/yrFull-Time
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Workplace

hybrid

Employment

Full-Time

Published

Aug 14, 2026

Closes

No date supplied

The role

About the Team The Product Policy team is responsible for the development, implementation, enforcement, and communication of the policies that govern use of OpenAI’s services, including ChatGPT, GPTs, the GPT Store, Codex, and the OpenAI API. About the Role We are looking for a Research and Advisory Partnerships Lead to build and manage the relationships, partnerships, and advisory structures that bring independent external expertise into our product and policy decisions. 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 identify and engage researchers, civil society organizations, subject-matter experts, and other external stakeholders whose perspectives can strengthen how we develop and deploy AI. You will establish and manage advisory councils, develop research partnerships with the academic community, and work closely with internal teams to translate external insights into actionable guidance. This role sits at the intersection of product, policy, research, and governance. It is well suited to someone who is comfortable building relationships across disciplines and designing processes that ensure outside expertise meaningfully informs internal decision-making. This role can be based in San Francisco or New York City. 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: - Develop, launch, and manage external advisory councils and other governance mechanisms that provide structured input on product and product policy. - Build and maintain relationships with external experts, researchers, civil society organizations, and other stakeholders who can inform high-priority product and product policy decisions. - Identify when external consultation can improve internal decision-making, and develop engagement strategies tailored to specific products, policy questions, an

Requirements

Department: Product Policy; Team: Product Policy