Meta is looking for an AI Policy Manager to join our AI Policy team. In this role, you will work closely with the team to navigate novel and complex issues related to AI policy. You will collaborate with cross-functional partners to help develop Meta’s AI policy positions, advise on policy risk of product launches, support strategic engagement with academic and civil society stakeholders, and you will shape and lead Meta's external policy posture.
Responsibilities
Develop and maintain Meta’s advocacy positions on a wide range of AI policy issues, ensuring they are aligned with our product roadmap and broader policy objectives Collaborate with cross-functional partners to ensure a coordinated and effective approach to AI policy Support the team’s engagement with a global network of third-parties, including academic institutions, research centers, and civil society organizations Track and analyze emerging AI policy issues and trends, providing insights and recommendations to internal teams Prepare briefing materials and other advocacy materials for internal and external use Represent Meta in external forums, including academic conferences and policy workshops, as needed
Qualifications
5+ years of experience in public policy Proven understanding of the AI policy landscape, including key debates around safety, governance, ethics, and accountability Experience in analyzing AI technology for policy and governance, including the ability to: Translate technical system behavior into policy-relevant concepts (e.g., capability, limitations, uncertainty, and foreseeable misuse) Assess risks and impacts such as safety, privacy, security, bias/fairness, explainability, transparency, and content integrity Evaluate governance mechanisms (e.g., risk assessments, model documentation, audits, red-teaming, incident response, and post-deployment monitoring) and how they map to emerging regulatory and standards frameworks Engage effectively with technical and cross-functional partners to inform policy positions, compliance strategies, and responsible AI decision-making Experience in building and managing relationships with external stakeholders, such as academics, researchers, and civil society organizations Proven track record of communication and presentation skills, with demonstrated experience successfully conveying complex policy issues to a wide range of audiences Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) A network of contacts in the academic and civil society communities focused on AI JD or Master’s degree in a relevant field Familiarity with global AI policy and regulatory developments Experience working at a technology company on AI policy issues Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)