Microsoft
Principal Product Manager
$143K–$304K
Redmond, WA · On-site · Principal · Full-time · Posted Oct 23, 2026
- Experience
- Required: 8+ years in product/service/program management or software development, or equivalent experience. Preferred: 12+ years in those fields, or equivalent experience; additional preferred experience includes 4+ years taking products to market, 6+ years improving product metrics, and 6+ years disrupting a market.
- Education
- Bachelor's Degree or equivalent experience.
About the job
Leads capacity and platform strategy for Microsoft 365 Copilot infrastructure, including planning GPU and CPU capacity, balancing investment and demand, and improving platform efficiency and reliability.
What you'll do
- Set strategy, roadmap, success metrics, and investment priorities for M365 Copilot capacity and platform work.
- Drive capacity planning, supply-demand balancing, hardware and model transitions, and platform health in partnership with engineering, finance, and supply chain.
- Use AI-driven analysis, agents, automation, and prototyping to improve forecasting, operations, and decision-making; mentor product managers.
What they ask for
- Bachelor's Degree AND 8+ years experience in product/service/program management or software development OR equivalent experience.
- Experience leading large-scale cloud infrastructure, capacity planning, or distributed systems work, with understanding of hyperscale service delivery.
- Experience with LLMs, model-serving platforms, GPU capacity planning, or large-scale AI-powered products.
- Experience using telemetry, demand signals, and operational data to guide platform and investment decisions.
Nice to have
- Bachelor's Degree AND 12+ years experience in product/service/program management or software development OR equivalent experience.
- 4+ years taking a product, feature, or experience to market; 6+ years improving product metrics; and 6+ years disrupting a market.
Pay
USD $142,800 - $274,800 per year (base salary); USD $188,000 - $304,200 per year (base salary)
Tools
GPU, CPU, LLMs, model-serving platforms, AI agents, AI Ops, telemetry
AI focus
Uses AI agents, automation, AI-driven analysis, AI Ops, and prototyping to forecast demand, analyze telemetry and operational data, model investment tradeoffs, and build intelligent self-service workflows; advances AI-forward team practices including evaluation sets and agent-based workflows.
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