AI Policy Manager

Meta

$130K — $180K *
Education, Government & Non-Profit
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in public policy, law, political science, or a related field.
  • 8+ years of experience in public policy, focusing on AI technology.
  • Understanding of AI concepts and translating them into policy implications.
  • Knowledge of the AI policy landscape, including safety and governance debates.
  • Proven track record in managing a policy domain and driving cross-functional alignment.

Responsibilities

  • Develop policy recommendations for novel AI governance issues.
  • Drive alignment on policy positions regarding model behavior and national security.
  • Lead engagements with third parties and support government interactions on AI governance.
  • Anticipate emerging AI technical developments and provide policy insights.
  • Create materials for senior leadership on policy strategies.
  • Represent Meta in external forums.

Benefits

  • Health, dental, and vision insurance.
  • 401(k) plan with employer matching.
  • Generous parental and family leave.
  • Access to professional development resources.
  • Flexible work schedule and remote work options.
Full Job Description
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 the governance of AI, including model behaviors, AI agents, and national security considerations. You will collaborate with cross-functional partners and own key policy domains, lead strategic engagements with industry associations and research centers, support government engagement on AI governance and national security, and develop proactive responses to new and emerging AI governance questions.

Responsibilities

Develop policy recommendations for internal decision-making on novel AI governance questions
• Drive cross-functional alignment on policy positions related to model behavior, AI agents, and national security topics
• Lead strategic engagements with third parties, including industry associations and research centers, and support government engagement on AI governance and national security
• Anticipate and shape response to emerging technical developments in AI models and their policy implications, providing insights and recommendations to internal teams
• Develop and deliver policy strategies and materials for senior leadership
• Represent Meta in external forums

Minimum Qualifications
• Bachelor's degree in public policy, law, political science, or a related field
• 8+ years of experience in public policy, with a focus on AI technology or other related technologies
• Familiarity with AI concepts and the ability to translate emerging or novel technical capabilities into policy implications
• Proven understanding of the AI policy landscape, including key debates around safety, governance, ethics, and accountability
• Demonstrated experience owning a policy portfolio or domain end-to-end with track record of driving cross-functional alignment to advance policy goals
• Proven ability to successfully convey complex policy issues to a wide range of audiences

Preferred Qualifications
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
• JD or Master's degree in a relevant field
• Familiarity with federal, state, and international AI governance frameworks, including US executive actions, federal regulatory guidance, state AI laws, the EU AI Act, and other emerging frameworks
• Proven experience working directly with AI research and product teams to translate technical capabilities into policy positions
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
• Experience interpreting and contextualizing AI model evaluations measuring maximum elicited capabilities, policy adherence, and safeguard performance

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