Microsoft
Product Manager
$102K–$219K
Redmond, WA · On-site · Manager · Full-time · Posted Oct 13, 2026
- Experience
- Required: 2+ years in product/service/project/program management or software development. Preferred: Bachelor’s Degree and 5+ years in product/service/program management or software development, or equivalent experience; also lists 2+ years improving product metrics or disrupting a market.
- Education
- Bachelor’s Degree or equivalent experience.
About the job
Owns partner-facing capabilities in Partner Center, taking AI-first product experiences from discovery and experimentation through launch, measurement, and ongoing improvement.
What you'll do
- Research partner needs and translate complex problems into product requirements, prioritized scenarios, and measurable outcomes.
- Lead product capabilities through experimentation, design, engineering execution, launch, measurement, and iteration.
- Develop and evaluate AI-powered insights, agents, automation, and workflows that help partners make decisions and complete tasks.
What they ask for
- Bachelor’s Degree and 2+ years of experience in product/service/project/program management or software development, or equivalent experience.
- Ability to meet Microsoft, customer and/or government security screening requirements, including passing the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.
Nice to have
- Bachelor's Degree and 5+ years of experience in product/service/program management or software development, or equivalent experience; alternatively, 2+ years improving product metrics or disrupting a market.
- Experience or demonstrated interest in AI-powered products, intelligent workflows, agents, recommendations, automation, or emerging technologies; experience in relevant enterprise, cloud, marketplace, commerce, partner, or financial domains is also valued.
Pay
USD $102,100 - $202,200 per year (base salary); USD $133,800 - $219,200 per year (base salary)
AI focus
Build and evaluate AI-first partner experiences, including AI-powered insights, recommendations, agents, automation, and intelligent workflows; assess model behavior, trust, quality, data needs, and customer and business value.
Model-written summary · the original posting is authoritative