Principal Product Manager - Privacy & Policy

Description

Build the privacy products that make AI monetization trusted, durable, and scalable. 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. Bachelor's Degree AND 8+ years experience in product/service/program management or software development 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.