New 
Technical Program Manager
 Microsoft | |
 United States, California, Mountain View | |
 Oct 29, 2025 | |
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OverviewThe Microsoft AI Monetization team plays a pivotal role in shaping how Microsoft generates value from its AI innovations, particularly through products like Copilot, Bing, Edge, and Microsoft Advertising. This cross-functional organization is responsible for driving new monetization opportunities, business growth, and pioneering bold bets in AI-driven experiences. Join our high-impact Program Management (PGMT) team and help lead execution across Microsoft AI Monetization. Our PGMT's are embedded in the heart of strategic initiatives that power the AI platform shift, create new canvases for monetization growth, enable publisher platforms, real-time systems, and state of the art personalized models. We operate at the intersection of engineering, product, design, and business-ensuring that complex programs are delivered with a customer focus, strategic clarity, and measurable impact. 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.
ResponsibilitiesBe responsible for unifying stakeholders around a clear vision and plan, ensuring technical and operational readiness while aligning with Microsoft AI Monetization's strategic goals.Own the execution of key programs E2E. Manage execution risk and elevate program quality across multiple technical domains.Collaborate across disciplines such as Product, UX, Marketing, Legal, Data Sciences and other Engineering teams.Deal with ambiguity and drive clarity across teams. | |