Senior Product Manager

Microsoft•Redmond, WA

1d•$119,800 - $234,700

About The Position

The Senior Product Manager will drive product direction for cybersecurity AI models that power Microsoft’s agentic security products and experiences. The role owns the product vision, strategy, roadmap, and success measures for key areas of the model portfolio, translating customer needs into model priorities and guiding delivery from early development through launch and adoption. The position works closely with model research, Microsoft Security research, engineering, and agent and product owners. It makes tradeoffs across quality, safety, performance, and cost, using evaluations, product data, and customer feedback to assess model performance in real security workflows and guide future investment. The role requires meeting Microsoft, customer, and/or government security screening requirements, including passing a Microsoft background check and Microsoft Cloud Background Check upon hire or transfer and every two years thereafter. The position is Product Management IC4. The typical U.S. base pay range is USD $119,800–$234,700 per year; the range for the San Francisco Bay Area and New York City metropolitan area is USD $160,200–$261,000 per year. Certain roles may be eligible for benefits and other compensation. Applications are accepted on an ongoing basis until the position is filled, with the posting open for a minimum of five days.

Requirements

Bachelor’s degree and 5+ years of experience in product/service/program management or software development, or equivalent experience.
Ability to meet Microsoft, customer, and/or government security screening requirements, including passing the Microsoft background and Microsoft Cloud background checks upon hire or transfer and every two years thereafter.

Responsibilities

Own the vision, strategy, roadmap, and success measures for cybersecurity AI models that power Microsoft’s agentic security products.
Identify customer needs and market opportunities, translating customer feedback, competitive insights, and emerging AI and security trends into model direction.
Measure model impact in security workflows using agent evaluations, telemetry, and feedback to guide decisions about effectiveness, reliability, safety, performance, and cost.
Partner with model research, Microsoft Security research, engineering, and agent and product owners to shape model priorities and translate research advances into customer value.
Drive model-product initiatives from discovery through launch, adoption, and scale, aligning teams on customer outcomes, priorities, dependencies, and readiness.
Build alignment across teams and leadership, communicating direction, tradeoffs, and results with clarity and customer-backed evidence.