Drimva

Meta

Partner Manager, Government, Politics, Advocacy and Compliance

$132K–$191K

Washington, DC · Manager · Full-time · Posted Aug 21, 2026

Experience
8+ years in marketing-focused partnerships or client relationships, or 6+ years with an MBA or Master's degree; 6+ years working with digital advertising platforms, advertising metrics, and relevant industry trends.
Education
B.A./B.S. degree in a technical or marketing field or equivalent work experience.

About the job

Manages Meta’s relationships with government, politics, advocacy, and compliance partners, helping them use Meta advertising products and coordinating internal teams to meet client goals.

What you'll do

  • Build and manage partner relationships, provide product guidance and training, and represent Meta at events.
  • Coordinate cross-functional teams, project workstreams, account operations, and escalations to deliver partner solutions.
  • Use partner feedback, industry trends, and data to identify product needs and inform responses to RFPs.

What they ask for

  • 8+ years managing marketing-focused partnerships or client relationships in digital media, advertising, or a policy-adjacent field, or 6+ years with an MBA or Master's degree.
  • 6+ years working with digital advertising platforms, advertising metrics, and industry trends relevant to regulated or mission-driven organizations.
  • Experience working with advertising agencies or consultants, policy makers, governments, politicians, non-profits, or advocacy organizations.
  • B.A./B.S. degree in a technical or marketing field or equivalent work experience.

Nice to have

  • Performance marketing experience and/or brand advertising experience.
  • Experience partnering with compliance and legal functions.

Pay

$132,000/year to $191,000/year (base salary)

Tools

Meta

AI focus

Ongoing AI skill development and use of emerging AI technologies, including prompt/context engineering and agent orchestration; integrate AI tools to improve workflows and measurable outcomes, while applying responsible, ethical AI practices such as risk assessment, bias mitigation, and quality and accuracy reviews.

Model-written summary · the original posting is authoritative

First seen Oct 31, 2026 · Last verified Nov 5, 2026 (UTC)