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Senior Product Manager - Notebooks

United States, Redmond 119800.00 - 234700.00 USD / Year · Job Posted February 03, 2026
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Job Description

Be at the forefront of Microsoft's AI transformation and help shape the future of AI-powered thinking tools used by millions of people across Microsoft 365. As a Product Manager on the Notebooks team, you’ll help create an AI‑forward experience that empowers people to transform heterogeneous information into clarity, insight, and action. Our team builds Copilot Notebooks—an AI‑native space for gathering information, making sense of it, and taking action—as well as OneNote, a beloved app used by millions.

Job Responsibility

  • Own strategy, roadmap, requirements, and execution for multiple AI-first Notebooks feature areas that address customer needs and proactively elevate productivity, learning, and creativity for millions of OneNote and Microsoft 365 users
  • Collaborate with cross-functional teams, including applied sciences, engineering, design, and marketing, to deliver high-quality features and improvements that use responsible AI principles
  • Analyze user feedback and data to identify opportunities for innovation and improvement
  • Design evaluation methodologies for your feature areas and partner with technical and science teams to ensure they meet expectations
  • Drive experimentation through hypotheses, instrumentation, and thin‑slice delivery to ship quickly and learn continuously
  • Ensure the successful launch and adoption of new features through GTM efforts in partnership with Product Marketing.

Requirements

  • Bachelor's Degree AND 5+ years experience in product/service/project/program management or software development OR equivalent experience
  • 3+ years of experience collaborating and communicating with experience working across disciplines and organizations.

Nice to have

  • Experience in AI-first product development, including defining and documenting datasets, user queries, and contextual signals required for successful AI-driven interactions
  • Experience in designing and executing evaluation frameworks that ensure AI features meet or exceed quality benchmarks
  • Background or understanding of how people learn, process information, and form models—such as experience in learning science, cognitive psychology, information science, or HCI
  • Experience in editorial, content, or visual design, with a demonstrated ability to craft clear, structured, and visually compelling experiences
  • Experience with data-driven product development, improving product metrics for a product, feature, or experience in a market (e.g., growing customer base, expanding customer usage, avoiding customer churn)
  • Experience in leadership, communication, and collaboration skills, specifically cross-organization collaboration.

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