Principal Product Manager
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Key details
- Salary
- $143K–$275K/yr
- Location
- Redmond, WA, United States
- Work style
- Onsite
- Level
- Lead / Staff+
- Experience
- 8–11 yrs
- Function
- Product / Program management
- Focus area
- other
- Posted
- 3h ago
Skills
About the role
Are you passionate about making the world's largest cloud services self-healing? The M365 AIOps team is building 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.
If you're looking for:
• 🚀 Big, bold challenges at hyperscale
• 🎯 High-impact product leadership in a high-stakes domain
• ⚡ Fast-paced execution across multiple engineering organizations
• 🎬 A front-row seat to AIOps for M365 services...then this is your team.
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 agentic incident management 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.
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
Define the vision for intelligent agents that detect failures, reason over telemetry, and drive recovery. Prioritize investments in AI-powered signal intelligence, diagnosis, and autonomous workflows based on customer needs, real incident patterns, and measurable reliability outcomes.
- Define how AI discovers meaningful anomalies, learns historical baselines, compares affected and healthy systems, and connects evidence across logs, metrics, and distributed traces. Enable agents to generate and test hypotheses, identify emerging failure patterns, and explain customer impact—not simply flag unusual behavior.
- Establish standards for agents that retrieve supporting telemetry, reason across signals, and produce traceable findings with clear provenance, scope, timing, confidence, and limitations. Define how AI validates hypotheses, surfaces conflicting evidence, and distinguishes plausible explanations from verified causes.
- Define how agents proactively surface, rank, and explain findings within responder workflows. Enable natural-language investigation, context-aware evidence retrieval, and guided next steps so engineers can interrogate conclusions, collaborate with AI, and move from questions to informed decisions faster.
- Translate AI-generated diagnoses into agents that plan, recommend, and orchestrate recovery actions—from operator-guided execution to governed autonomy. Define approval gates, execution safeguards, rollback controls, and continuous health verification so agents demonstrate restored service and customer experience, not merely successful action completion.
- Convert responder feedback, investigation traces, post-incident reviews, and mitigation outcomes into reusable knowledge, new evaluation cases, and improvements to models and agent workflows. Validate those improvements before expanding autonomy, making diagnosis and recovery more effective without compromising safety.
Qualifications
Required Qualifications:
- 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.
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).
- 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.
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.