Principal Product Manager

MicrosoftSeattle, WA
16h

About The Position

Are you passionate about solving challenging problems in the generative AI space such as long form text generation with high fidelity in and outside of Microsoft Word? Do you want to work with a world class applied scientist and engineering team to deliver Copilot in Microsoft office applications? If so, we have an exciting opportunity for you! We are looking for a Principal Product Manager to join Word PM team with strong product definition skills, deep understanding of GenAI technologies, growth mindset, and effective collaboration skills to help us shape our product strategy, and connect the technology innovation with product development. 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/project/program management or software development OR equivalent experience.
  • 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.

Nice To Haves

  • 3+ years of experience building products that leverage LLMs technologies.
  • 2+ years of experience in working with research and technology forward looking incubation.
  • Proven track record of collaborating with cross-functional teams (engineering, design, research) to deliver user-facing features.
  • Effective collaboration and communication skills with a bias for action and inclusion.

Responsibilities

  • Identify user JTBD (job to done) where AI adds clear value, basing decisions on data and user feedback.
  • Turn model capabilities into specific product features, define MVPs, and refine them using user and business metrics.
  • Work directly with research, applied scientist, engineering, and design to turn AI research into practical products that scale and serve users well.
  • Create and use evaluation methods to track product quality, user experience throughout development.
  • Write clear documents to keep stakeholders including senior management aligned on product goals, priorities, and decisions.
  • Promote adoption by showing how technical features translate into user benefits and growth.
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