Principal Product Manager

Microsoft•Redmond, WA

15h•$142,800 - $304,200•Hybrid

About The Position

Are you passionate about making the world's largest cloud services self-healing? The M365 AIOps team is building the autonomous agentic loops that keep Microsoft 365 reliable for hundreds of millions of users every day where AI agents continuously sense risk, reason over live signals, and drive recovery actions with minimal human intervention. Our platform powers the next generation of agentic operations for M365's most critical services. We're not just building AIOps tooling we're redefining how the most critical cloud services close the loop from risk to recovery, autonomously and safely. Come help us shape it! As a Principal Product Manager on the M365 AIOps team, you will define and drive product strategy for autonomous agentic mitigation while fostering a culture of experimentation, safety, and operational excellence. Working at the intersection of large language models, distributed systems, and reliability engineering, you will operate in a fast-paced, highly technical, and highly ambiguous environment where agility, clarity, and bold thinking are essential. You will translate complex reliability and customer needs into scalable product strategy and set an example for AI-forward product leadership by balancing strategic vision with hands-on execution, and long-term thinking with rapid iteration. This opportunity will allow you to grow as a product leader while working on capabilities that shape the future of how M365 stays reliable and self-healing. You will gain hands-on experience shaping the architecture of autonomous agentic AIOps systems at a scale which few teams in the industry can offer. You will deepen your technical product acumen and strengthen your ability to drive clarity across complex, cross-organizational initiatives spanning M365's most critical services. 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.

Requirements

Bachelor's Degree AND 8+ years experience in product/service/program management or software development OR equivalent experience.
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role.
Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Nice To Haves

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).
Experience with M365 services, AKS (Azure Kubernetes Service) or comparable hyperscale services.
Background in autonomous/self-healing systems, control planes, or safe-automation platforms.
Familiarity with chaos engineering, failure-mode analysis, and blast-radius modeling.

Responsibilities

Own the multi-year product vision, strategy, and roadmap for building autonomous agentic loops across M365—where agents sense risk, reason over signals, and act to remediate—and shape an opinionated point of view on how agentic AIOps reshapes the future of service operations.
Establish a cross-organizational discipline and operating model to systematically surface, quantify, and prioritize resiliency risks, backed by a clear taxonomy, scoring, and governance model that drives the highest-impact risks to closure with clear accountability.
Collaborate with engineering, AI/ML, safety, and service teams to transform troubleshooting into governed, closed-loop recovery workflows, defining the guardrails, blast-radius controls, approval gates, and rollback mechanisms that make autonomous agentic mitigation safe, auditable, and trustworthy.
Identify opportunities to expand autonomous agentic AIOps reach, establish the success metrics that matter—loop autonomy rate, time-to-mitigate, mitigation success rate, autonomous-action safety, and reduction in customer-impacting downtime—and use data-driven insights to prioritize investments and measure outcomes.