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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
Minimum 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
Preferred Qualifications
- 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)
$122,000/year to $180,000/year + bonus + equity + benefits
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