Senior Director, Government Affairs

Microsoft Microsoft · Big Tech · Washington, DC +1 · Government Affairs

This role is for a Senior Director of Government Affairs at Microsoft, focusing on shaping U.S. federal AI policy. The individual will develop and advance the company's policy positions, collaborating with internal AI, research, and product teams to ensure technical grounding in responsible AI and innovation roadmaps. Key responsibilities include leading U.S. AI policy strategy, translating technical developments into actionable strategy, engaging with policymakers and industry stakeholders, and developing policy agendas for physical AI, robotics, and autonomous systems.

What you'd actually do

  1. Leads Microsoft’s U.S. AI policy strategy across government, industry, and third parties in Washington, DC
  2. Builds Microsoft’s federal policy agenda for physical AI
  3. Translates technical and policy developments into actionable strategy
  4. Drives technically grounded coalition and ecosystem engagement
  5. Leads cross-functional integration of AI policy across priority domains

Skills

Required

  • Bachelor's Degree in Public Policy, Public Administration, Political Science, Business Administration, Technology, Law, Liberal Arts, Engineering, or related field AND 8+ years work experience in government affairs, corporate affairs, public policy, government, or related area
  • Equivalent experience

Nice to have

  • Experience with ORA, Microsoft AI, Microsoft Research, Office of the Chief Scientific Officer, Corporate Standards, Security, and product teams
  • Experience with federal legislation, national standards, and federal-state alignment
  • Experience with White House, Congress, and key agencies (e.g., DOC, DOD, DOE, NIST)

What the JD emphasized

  • AI policy strategist
  • responsible AI
  • frontier AI policy
  • physical AI, robotics, and autonomous systems policy
  • agentic systems
  • recursive self-improvement
  • model access and security
  • evaluation frameworks
  • physical AI
  • robotics
  • autonomous systems
  • embodied AI
  • industrial AI