Own consent management products end to end, including the consent experiences users see, the SDKs and APIs product teams integrate, and the services that store consent state and pass it to the ads systems that read it. Find and ship privacy-preserving ways to collect and use data for monetization. That could be aggregated or on-device measurement, clean rooms, differential privacy, or better non-personal signals for generic ads, and each idea needs a sized revenue and quality case before engineering commits to it. Run consent flows the way you'd run any consumer funnel, with metrics for consent and opt-out rates, signal coverage, and integration health, and with experiments on the experiences themselves. Make the privacy-correct implementation the easiest one for partner teams to ship, which mostly comes down to clean integrations and good defaults, and track adoption across the surfaces that use your products. Work with privacy, legal, and policy partners to turn GDPR, ePrivacy, US state privacy laws, the DMA, and IAB frameworks like TCF and GPP into product and engineering requirements. Keep partner teams in Ads, Copilot, Edge, and elsewhere informed about dependencies and dates, since most of what you ship ends up inside their products. 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 consumer or ads products where privacy or consent requirements shaped what got built, such as consent management platforms, identity, ad measurement, or personalization. Working knowledge of privacy-enhancing technologies like aggregation, differential privacy, clean rooms, on-device processing, and pseudonymization, and of how consent signals travel through an ad tech stack. Familiarity with GDPR, CCPA/CPRA, the DMA, and IAB TCF and GPP, enough to know what each one means for a product spec. Technical fluency with APIs, SDKs, data pipelines, and experimentation systems, and a track record of using experiment results to make product decisions. Experience shipping work that depends on other teams' roadmaps and keeping it on schedule.