Microsoft
Principal Product Manager
$166K–$331K
Redmond, WA · On-site · Principal · Full-time · Posted Oct 1, 2026
- Experience
- 10+ years required; 15+ years preferred, with equivalent experience stated as an alternative. Other preferred experience includes 6+ years taking a product to market, 8+ years improving product metrics, and 8+ years disrupting a market.
- Education
- Bachelor's Degree or equivalent experience.
About the job
Leads cross-platform product strategy and execution for M365 and Copilot infrastructure, including storage, performance, capacity, and LLM infrastructure, to deliver measurable customer and operational outcomes.
What you'll do
- Drive ambiguous, high-impact infrastructure initiatives from technical strategy and architecture through execution and measurable results.
- Use telemetry, experimentation, modeling, and AI-driven analysis to guide platform, capacity, and investment decisions.
- Align engineering and product organizations on platform direction, communicate tradeoffs to senior leaders, and mentor PMs and technical leaders.
What they ask for
- Bachelor's Degree and 10+ 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 the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.
Nice to have
- Bachelor's Degree and 15+ years of experience in product/service/program management or software development, or equivalent experience; or 6+ years taking a product, feature, or experience to market.
- Experience leading high-stakes, multi-organization technical initiatives; relevant infrastructure expertise; and ability to use telemetry, experiments, economic models, and AI tools to guide decisions.
Pay
USD $165,600 - $296,400 per year (base pay); USD $220,800 - $331,200 per year (base pay)
Tools
Storage Fabric, LLM API, GPU, LLM inference, model serving, routing, caching, distributed systems
AI focus
AI-first infrastructure product management: use AI agents, automation, data analysis, and rapid prototyping to investigate problems, test hypotheses, model tradeoffs, and shape M365 and Copilot infrastructure for AI workloads.
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