Microsoft Logo

Microsoft

Principal Product Manager

Reposted 4 Days Ago
Be an Early Applicant
In-Office
Redmond, WA, USA
143K-304K Annually
Expert/Leader
In-Office
Redmond, WA, USA
143K-304K Annually
Expert/Leader
Lead capacity management strategy for Microsoft 365 Copilot’s AI infrastructure, including demand forecasting, GPU and CPU investment planning, supply-demand balancing, platform health, model onboarding, and migration. Partner with engineering, finance, supply chain, data science, and customer teams to make cost, performance, and reliability decisions. Use AI-driven analysis, automation, and agents to improve planning and operations, while mentoring product managers and influencing senior leaders.
The summary above was generated by AI
Overview

The Microsoft 365 Core Copilot Infrastructure team is hiring a Principal Product Manager for its Capacity Management team, the group that puts the right AI infrastructure in the right places at the right time to power Copilot across Microsoft 365. The team plans, delivers, and scales the GPU and CPU fleet behind the M365 LLM platform, and it helps direct significant capacity investment each year. This is a broad role for a platform thinker with a strong customer mindset—someone who wants to move across the charter and take on the biggest open problems rather than hold a single fixed area.

The work spans demand forecasting, capacity investment planning, platform and hardware strategy, supply and demand balancing, capacity intake and delivery, and model onboarding and migration. AI growth is reshaping all of it. Demand is larger and less predictable than it has ever been, hardware and model choices carry more weight, and the cost of getting capacity wrong scales with the fleet. You will help the team decide where to invest, when to build, what to run it on, and how to keep the platform healthy and efficient as it grows—always anchored in what our Copilot customers and partner teams need.

This is an AI-first product management role. You will use agents, automation, and AI-driven analysis alongside standard PM tools to read telemetry, model tradeoffs, prototype solutions, and reach decisions faster. You will translate hard technical and financial tradeoffs into terms leaders can act on, and you will help move the team toward AI-forward ways of working, including evaluation sets and agent-based workflows built into how the work gets done.

You will partner closely with engineering leaders, architects, data scientists, finance, and supply chain across Microsoft. The role carries broad visibility and influence, and it depends on strong product sense, technical depth, data fluency, customer empathy, and clear judgment under uncertainty. As a senior leader on the team, you will also mentor other product managers and raise the bar for how the team works.

This position is based in Redmond, Washington and requires the employee be in the office a minimum of 3 days per week.

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.


Responsibilities
  • Shape the strategy for the capacity and platform work that matters most across M365 Copilot and turn that direction into a roadmap teams can execute.

  • Take on high-impact problems across the charter, including capacity intake and planning, supply and demand balancing, buildout to SLA, GPU utilization and platform health, and model onboarding and migration, and drive them to a result.

  • Bring a strong customer mindset—partner with Copilot scenario teams to understand their needs and translate them into platform capabilities and capacity investments.

  • Use AI-driven analysis of demand signals, telemetry, and operational data to forecast more accurately, catch capacity and reliability issues early, and fix them at the root.

  • Use agents, automation, and AI Ops to analyze data, coordinate work, and act on what you learn—turning manual, ticket-driven intake and allocation into intelligent, self-service systems.

  • Model capacity and hardware tradeoffs with AI prototyping and scenario testing before committing investment, paired with solid product, engineering, and financial judgment.

  • Weigh cost, performance, and reliability against each other, and prioritize multi-year capacity investments with partners across engineering, finance, and supply chain.

  • Advance platform, model, and hardware transition strategy, and help the platform run more efficiently as AI workloads grow.

  • Set success metrics, OKRs (Objectives and Key Results), and KPIs (key performance indicators), and shape investment priorities with leadership.

  • Explain complex technical and financial tradeoffs to executives in a way that leads to decisions.

  • Mentor other product managers on the team, grow their capabilities, and move the team toward better, AI-forward ways of working.


Qualifications
Required Qualifications:
  • Bachelor's Degree AND 8+ years experience in product/service/program management or software development
    • OR equivalent experience.
Preferred Qualifications:
  • Bachelor's Degree AND 12+ years experience in product/service/program management or software development
    • OR equivalent experience.
  • 4+ years experience taking a product, feature, or experience to market (e.g., design, addressing product market fit, and launch, internal tool/framework).
  • 6+ years experience improving product metrics for a product, feature, or experience in a market (e.g., growing customer base, expanding customer usage, avoiding customer churn).
  • 6+ years experience disrupting a market for a product, feature, or experience (e.g., competitive disruption, taking the place of an established competing product).
  • Proven ability to think at the platform level while keeping a strong customer mindset—translating customer and partner needs into durable platform capabilities.
  • Experience taking on ambiguous, high-stakes work and driving it from strategy through execution across organizations.
  • Experience leading large-scale cloud infrastructure, capacity planning, or distributed systems work, with grasp of hyperscale service delivery.
  • Experience with LLMs, model-serving platforms, GPU capacity planning, or large-scale AI-powered products.
  • AI fluency, including using AI agents, automation, and prototyping to speed up analysis, decisions, and product work.
  • Experience using telemetry, demand signals, and operational data to guide platform and investment decisions.
  • Experience mentoring and developing product managers and technical leaders.
  • Systems-level problem solving and clear communication, with the ability to influence senior leaders and align stakeholders across organizations.

Product Management IC5 - The typical base pay range for this role across the U.S. is USD $142,800 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay


This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.



Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

HQ

Microsoft Redmond, Washington, USA Office

1 Microsoft Way, Redmond, WA, United States, 98052

Microsoft Bellevue, Washington, USA Office

Bellevue, United States

Microsoft Issaquah, Washington, USA Office

Issaquah, United States

Microsoft Kirkland, Washington, USA Office

Kirkland, United States

Microsoft Mercer Island, Washington, USA Office

Mercer Island, United States

Microsoft Sammamish, Washington, USA Office

Sammamish, United States

Microsoft Seattle, Washington, USA Office

Seattle, United States

Similar Jobs

4 Days Ago
Easy Apply
Remote or Hybrid
United States
Easy Apply
137K-245K Annually
Entry level
137K-245K Annually
Entry level
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Own product strategy and outcomes for AI-powered physical-operations solutions. Conduct customer discovery, identify high-impact problems, prototype and ship AI-enabled products, collaborate across hardware, software, and AI teams, and drive measurable customer and revenue impact.
Top Skills: Artificial Intelligence (Ai)Internet Of Things (Iot)
10 Days Ago
Hybrid
Seattle, WA, USA
224K-359K Annually
Expert/Leader
224K-359K Annually
Expert/Leader
AdTech • eCommerce • Information Technology • Software • Travel • Generative AI
Leads the vision, strategy, and roadmap for AI-powered Brand Expedia experiences across trip inspiration, planning, booking, and travel. Owns experimentation, business outcomes, responsible AI standards, model evaluation, platform partnerships, and third-party AI integrations. Collaborates with engineering, science, design, marketing, and brand teams while coaching product managers and shaping scalable consumer experiences across Expedia’s portfolio.
Top Skills: Agentic WorkflowsLarge Language Models (Llms)Machine LearningModel EvaluationModel MonitoringModel TuningMultimodal AiNatural Language InterfacesPrompt EngineeringRetrieval
13 Days Ago
Easy Apply
Remote or Hybrid
United States
Easy Apply
137K-245K Annually
Expert/Leader
137K-245K Annually
Expert/Leader
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Owns strategic, cross-cutting initiatives for Samsara’s Telematics business, driving commercial impact and identifying adjacent product opportunities. The role involves developing hypotheses and business cases, incubating 0-to-1 or 1-to-10 products, partnering closely with engineering and go-to-market teams, prototyping with AI tools, and validating solutions with customers. This is a hands-on, highly autonomous principal-level individual contributor role focused on B2B SaaS and physical operations.
Top Skills: Ai ToolsB2B SaasIotTelematicsVehicle Gateway

What you need to know about the Seattle Tech Scene

Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.

Key Facts About Seattle Tech

  • Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Amazon, Microsoft, Meta, Google
  • Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Madrona, Fuse, Tola, Maveron
  • Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account