Principal Product Manager - Privacy & Policy

Microsoft Microsoft · Big Tech · Mountain View, CA +2 · Product Management

This role focuses on building privacy products for AI monetization across various Microsoft products (Ads, Bing, Copilot, Xbox, LinkedIn, ABK). The core responsibility is to ship software enabling consent, transparency, controls, and privacy-preserving personalization, acting as a platform for other teams to build compliant AI monetization features. The role involves defining product roadmaps, building platform primitives (APIs/SDKs), partnering with engineering on runtime guardrails, improving personalization quality under privacy constraints, defining metrics for trust and revenue, enabling privacy-safe partnerships, and driving cross-org adoption.

What you'd actually do

  1. Own privacy product surfaces end-to-end (PRD → execution → launch → iteration): consent + sign-in pathways, transparency experiences, user controls, and per-surface data scopes across Microsoft AI monetization endpoints.
  2. Build and scale platform primitives (“paved roads”) for teams: APIs/SDKs for consent state, identity/data-scoping, enforcement hooks, logging/labeling, aggregation/truncation, and privacy-safe defaults that make compliant implementations the easiest path.
  3. Partner deeply with engineering to ship runtime guardrails that are practical and measurable (e.g., sensitive-topic constraints, youth safety, AI disclosure/labeling signals, policy enforcement points), tuned for latency, reliability, and abuse resistance.
  4. Improve personalization quality under privacy constraints: define product strategies that raise relevance/quality while respecting consent, purpose limits, and regional constraints; collaborate on ranking, retrieval, and measurement design.
  5. Instrument what matters for trust + revenue: define metrics, telemetry, and experiments around consent rates, sign-in conversion, eligible addressable users, opt-out/retention, personalization lift, fill/yield impact, and revenue gaps vs. plan, with clear diagnostics and guardrail monitoring.

Skills

Required

  • Bachelor's Degree AND 8+ years experience in product/service/program management or software development OR equivalent experience.

Nice to have

  • Bachelor's Degree AND 12+ years experience in product/service/program management or software development OR equivalent experience.
  • Experience shipping and iterating ads/monetization, personalization, measurement, identity, or large-scale consumer platform products.
  • Demonstrated ability to lead highly technical, cross-functional execution with engineering teams (APIs, telemetry, experimentation, reliability/SLOs).
  • Solid track record using data, experiments, and system-level reasoning to drive product decisions and measurable business impact.
  • Experience building privacy- or trust-related product capabilities (consent, transparency, controls, governance-by-platform, safety/guardrails).
  • Familiarity with privacy and AI governance concepts (e.g., GDPR/UK GDPR, CPRA, DPIAs/TIAs) and how they translate into product and engineering requirements.
  • Experience with privacy-preserving approaches such as clean rooms, on-device processing, secure compute, differential privacy, aggregation/cohorting, or enforcement-as-code patterns.
  • Proven ability to influence senior stakeholders across multiple orgs and drive platform adoption through solid UX/devex and clear value.

What the JD emphasized

  • privacy products for AI monetization
  • consent
  • transparency
  • controls
  • privacy-preserving personalization
  • platform primitives
  • runtime guardrails
  • privacy constraints
  • privacy-preserving approaches

Other signals

  • privacy products for AI monetization
  • consent, transparency, controls
  • privacy-preserving personalization
  • platform primitives for AI monetization