Senior Product Manager
Microsoft · microsoft.com
RedmondLead / Manager5+ yrs
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The job in short
Senior product management.
LLMRecommendation systemsData scienceProduct management
Details
- Found
- 5 d ago · posted 2026-10-19
- Location as listed
- Redmond, WA,US, US
- Role
- Product Manager
- Source
- The company’s own careers site
Full description
Experience with search, information retrieval or AI-powered experiences is valuable. Lead through influence. Bring engineering, data science, research and design partners around shared goals and commitments, without direct authority. Communicate with clarity. Share progress, risks, tradeoffs and results clearly with stakeholders at every level, so decisions are made quickly and teams stay aligned. Raise the bar for the team. Coach and mentor peers, share what you learn, and help build an inclusive, collaborative culture. Bachelor's Degree AND 5+ years experience in product/service/program management or software development OR equivalent experience. 3+ years of experience working training/evaluating search/information retrieval systems as Product Manager, Software Developer, or Data Scientist Experience with search, retrieval, ranking or recommendation systems, or large language model (LLM)-powered experiences. Solid technical depth, including comfort with system architecture and APIs, and the ability to engage closely with engineering and data science. A track record of shipping complex, cross-team products or features at scale, from early concept to general availability. Product Development and Release Turn strategy into shipped experiences. Translate team priorities into clear requirements, user stories and success criteria. Take features from concept through private preview, public preview and general availability. Own the roadmap. Drive the roadmap for your areas across organizational boundaries. Prioritize the backlog, align with engineering on tradeoffs, identify dependencies, and resolve difficult tradeoffs with peers to keep work moving. Manage complex dependencies. Coordinate across feature teams, platform teams and partners. Spot risks early, remove blockers, and make sure work fits together across the technology stack. Hold a high bar for quality. Define release criteria and lead scenario walkthroughs to find problems and system friction before customers do. Make sure experiences meet standards for quality, security, privacy and responsible AI. Set up and run planning, status, review and release processes that keep teams aligned, accountable and moving quickly.
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