New 
Senior Product Manager
 Microsoft | |
 United States, Washington, Redmond | |
 Oct 31, 2025 | |
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OverviewFor the modern product manager, this is the challenge of a generation: we are moving beyond building toolsforusers to creating intelligent agents that workwiththem as collaborative partners. The world of sales, with its complex workflows and critical human interactions, is the perfect frontier for this transformation.As a Senior Product Manager building AI Agents in Dynamics 365, you won't just be shipping another feature. You will be a pioneer, defining the playbook for a new class of AI-native business applications. This role is a masterclass in the future of product management. You will learn to navigate the complexities of non-deterministic systems, write eval rubrics, compare and fine tune models, steer the product roadmap at the intersection of cutting-edge research and real-world customer needs, and develop new UX paradigms for human-AI collaboration. If you are driven by the opportunity to build 0-to-1 products at scale, energized by the ambiguity and pivots it entails, and want to become a leader in the most significant technology shift of our time, we want to talk to you. 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.
ResponsibilitiesAs a Senior Product Manager on the Dynamics 365 Sales team, you will:Define the product vision, strategy, and roadmap for AI agents in the sales domain.Engage deeply with customers, partners, and internal stakeholders to understand user needs, market trends, and competitive landscapes.Translate user needs into clear product requirements, user journeys, and technical specifications for engineering and design teams.Collaborate with world-class teams across engineering, data science, research, and design to build and ship innovative AI/ML (machine learning)-powered solutions.Establish clear success criteria, define key metrics, and design experiments to iterate on models and ensure features have a measurable impact on business goals.Lead communication across all levels of the organization, from engineers to executives, to drive clarity, resolve ambiguity, and secure buy-in for your initiatives.Ensure the timely and successful delivery of key initiatives by managing dependencies, proactively addressing risks, and coordinating across all stakeholders. | |