OpenAI · New York
Sales & BusinessProduct PolicyRemoteFullTimeposted 3w ago
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, and emerging risks.
Design and manage research partnerships with academic institutions and independent researchers, with a focus on relevant social science research and the real-world impacts of AI.
Stay current on emerging academic research and translating relevant findings into practical recommendations for product, policy, research, and leadership teams.
Work closely with colleagues across product, policy, safety, legal, research, communications, and other teams to understand their priorities and identify opportunities for meaningful external input.
Develop clear processes for collecting, synthesizing, and sharing external guidance, and for tracking how that guidance informs internal decisions.
Manage the operational aspects of external engagements and partnerships, including scopes of work, contracts, budgets, confidentiality, research governance, and conflicts of interest, in partnership with relevant internal teams.
Prepare briefing materials and recommendations for senior leaders on external perspectives, research findings, and issues requiring further stakeholder engagement.
Represent the company in appropriate research, academic, and stakeholder forums, building trusted relationships grounded in substantive engagement.
You might thrive in this role if you have:
Experience building and managing external partnerships, advisory bodies, stakeholder engagement programs, or research collaborations in technology, academia, government, civil society, or a related field.
A strong understanding of the social, ethical, and policy questions associated with AI and emerging technologies.
Familiarity with social science research and comfortable engaging with researchers across disciplines, including sociology, psychology, economics, political science, and human-computer interaction.
An ability to translate complex external perspectives and research findings into clear, actionable guidance for technical, product, and policy teams.
Experience building trust with external stakeholders while maintaining clarity about the purpose, scope, and limitations of each engagement.
Experience working independently in a fast-moving environment and collaborating effectively across teams with different priorities.
Strong written and verbal communication skills, including experience preparing briefings and recommendations for senior decision-makers.
Motivation to ensure that external expertise meaningfully shapes the responsible development and deployment of AI.
Experience working on product policy, trust and safety, responsible AI, or technology governance.
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
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