We are looking for a Principal Product Manager to drive platform fundamentals, operational excellence, and business impact across the M365 AI platform. This role sits at the center of some of our most critical platform investments. You will partner closely with engineering teams and stakeholders across the AI ecosystem to improve reliability, scalability, efficiency, and operational health for AI-powered experiences used by millions of customers.

Success in this role requires strong systems thinking and technical judgment. You will identify service bottlenecks, operational pain points, and platform debt, then work across teams to prioritize and drive the investments that deliver the greatest customer and business impact. You will define the metrics that matter, use data and operational insights to guide decisions, and help teams focus on outcomes rather than activity.

The ideal candidate is a product leader who thinks like a systems architect. You are comfortable reasoning about large-scale distributed systems, service dependencies, reliability tradeoffs, and operational complexity. You enjoy working across organizational boundaries, influencing technical direction, and bringing clarity to complex problems. Most importantly, you can translate technical challenges into prioritized investments that improve platform health, engineering effectiveness, and customer outcomes.

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

• Drive platform reliability, operational excellence, and end-to-end service health across the M365 AI platform.
• Define and track metrics for customer impact, platform performance, operational health, and business outcomes.
• Partner with engineering teams to prioritize investments that improve reliability, scalability, efficiency, and customer experience.
• Lead cross-organizational efforts to resolve complex platform challenges, reduce technical debt, and improve platform fundamentals.
• Use data to influence technical priorities and clearly communicate decisions, tradeoffs, risks, and outcomes to engineering and leadership stakeholders.

• Bachelor’s Degree AND 8+ years experience in product/service/program management or software development
• OR equivalent experience.

Other Requirements:

Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:

• Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter., * Experience with cloud services, distributed systems, platform technologies, or large-scale online services.
• Experience driving operational excellence, service reliability, or platform health improvements.
• Experience working with AI-powered products, machine learning platforms, or modern cloud infrastructure.
• Technical background that enables effective partnership with engineering teams on architecture, operations, and platform investments.
• Demonstrated ability to drive complex initiatives across multiple teams and stakeholders.

m365core #ai #inferencing #copilot

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.

The M365 Core Copilot Infrastructure team builds and operates the Large Language Model (LLM) platform that powers AI experiences across Microsoft 365. We provide the foundational capabilities that enable product teams to deliver scalable, reliable, secure, and cost-efficient AI experiences to millions of users worldwide.

As the Microsoft 365 LLM Platform team, we automate every phase of the AI lifecycle, from model onboarding and deployment to inference, capacity management, and operations. Through intelligent routing, caching, telemetry, and platform innovation, we enable the next generation of AI-powered productivity experiences.

Our culture is grounded in customer impact, technical excellence, continuous learning, and operational rigor. We value ownership, collaboration, and the ability to navigate ambiguity while shaping the future of AI at Microsoft.