OneDrive sits at the center of how hundreds of millions of people create, connect, and get things done. As AI reshapes how users interpret, organize, and act on their content, our team leads the next generation of intelligent, trustworthy, and integrated experiences across the Microsoft 365 ecosystem.

We are the team behind M365’s sharing experience, collaboration platform, OneDrive Web, and the AI experiences that power collaboration and fuel the content understanding that enables AI across Microsoft 365. Our work spans education, consumer, and commercial customers, delivering the foundational capabilities that enable people to access, manage, and collaborate on their content from anywhere.

We are a modern PM organization running product management for one of the largest business and consumer services and the biggest workload in Microsoft 365. We run lean, operate with high ownership, and move quickly — prototyping, experimenting, and shipping improvements at massive global scale.

We seek experienced product managers who can define new AI-enabled product categories within OneDrive and the Microsoft 365 collaboration ecosystem by combining breakthrough model capabilities, principled evaluation practices, deep customer understanding, and rapid iteration.

As a Senior Product Manager on the OneDrive Sharing, Web, and AI team, you will own strategy, execution, and delivery for AI-powered experiences that help customers understand, organize, and collaborate on their content. You will partner deeply with Research, ML, Data Engineering, UX, Policy, and Legal to build intelligent features that solve real-world problems and raise the bar for collaboration across M365.

This is a role for someone who thrives in fast-evolving environments and is energized by translating model capabilities into meaningful, trustworthy customer value.

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.

• Ship AI-powered features end-to-end, learning from real-world customer feedback, evaluation signals, and usage to drive rapid iteration and improvement.
• Identify emerging AI capabilities that could evolve into transformative experiences in the file, sharing, and collaboration space.
• Define product strategy for experimental and frontier AI initiatives that push beyond current offerings.
• Build MVPs and prototypes to validate product–market fit with the lowest cost and cycle time possible.
• Lead vision, roadmap, and execution for AI capabilities grounded in customer needs and real workflows.
• Build and curate datasets and query sets to support model training, fine-tuning, and evaluation loops.
• Establish evaluation systems including human-in-the-loop reviews, rubric-based scoring, automated evals, and telemetry-driven assessments.
• Communicate strategy, progress, risks, and insights with clarity across teams and leadership.
• Contribute to an AI-first, experiment-driven, inclusive, and customer-obsessed product culture.

Embody our culture and values.

• Bachelor's Degree AND 5+ years experience in product/service/program management or software development
  • OR equivalent experience.
• 5+ years of product management experience with a demonstrated ability to ship high-impact features in a fast-paced environment.

• Bachelor's Degree AND 8+ years experience in product/service/program management or software development
  • OR equivalent experience.
• Hands-on experience building or integrating AI-powered user experiences, including defining product requirements for models and evaluations.
• Track record of shipping AI features and iterating based on real customer feedback, usage insights, and model quality signals.
• Strong technical and product judgment with the ability to understand how AI models behave in real-world customer scenarios.
• Proven ability to collaborate across engineering, design, data science, and cross-company partners to deliver cohesive, high-quality product experiences.
• Experience engaging directly with customers to gather insights, validate scenarios, and inform product decisions.
• Experience guiding model quality through evaluation metrics, expected behavior definitions, and hands-on work with datasets or query sets.
• Deep understanding of human–AI interaction best practices, such as transparency, reversibility, and controllability.