Principal Product Manager - Privacy & Policy

Build the privacy products that make AI monetization trusted, durable, and scalable. On Microsoft’s AI Monetization Privacy & Policy Product Team, you’ll ship software that powers consent, transparency, controls, and privacy-preserving personalization across Ads, Bing, Copilot, Xbox, LinkedIn, and ABK—so teams can move fast and meet the expectations of users, customers, and regulators.

You’ll work where product craft meets real systems: identity, consent state, data flows, ranking/personalization, measurement, experimentation, and platform primitives. The output isn’t paperwork—it’s capabilities that teams adopt because they’re the fastest way to ship safely.

As a Principal Product Manager - Privacy & Policy, you will own and drive major parts of our privacy product roadmap for AI monetization: building platform primitives and end-user experiences that enable compliant, high-performing personalization and measurement. This opportunity will allow you to (1) build deep ads/monetization and AI product intuition, (2) grow solid judgment on trust–revenue tradeoffs, and (3) learn how to scale product impact across multiple orgs through platforms and paved roads.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.  

Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.

Responsibilities

• 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.
• 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.
• 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.
• 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.
• 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.
• Enable privacy-safe partnerships through software capabilities: support clean-room / API / data-collaboration scenarios by building enforceable product controls (access, usage constraints, verification, auditing) rather than manual process.
• Drive cross-org adoption and execution: align stakeholders across Ads, Bing, Copilot, Xbox, LinkedIn, and ABK; set crisp decision points; unblock tradeoffs; and deliver measurable outcomes on a multi-surface roadmap.

Qualifications

Required Qualifications:

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

Preferred Qualifications:

• Bachelors 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.

Product Management IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.