This is an opportunity to work with the Copilot Training, Data and Metrics Platform PM team. This team builds the foundational capabilities that power the development of the Microsoft 365 Copilot. Our goal is to make sure every interaction and feature can be measured and analyzed, allowing teams to gain insights quickly and improve Copilot experiences. Our platform ingests, curates, and serves compliant, privacy-preserving datasets at scale, supporting offline and online evaluation, analytics, feedback loops, metrics authoring and creation of key dashboards. We partner deeply with engineering, data science, and product teams to accelerate innovation across the M365 ecosystem. This team operates with high agility to enable M365 Copilot teams to innovate fast, with high-pace and intensity.

We are looking for a Senior Product Manager who can bring product thinking and technical depth in shaping the compliant data infrastructure that aims to accelerate time-to-insight and decision-making for Copilot builders, ultimately enhancing the AI-powered experience for Microsoft customers. You will have a unique opportunity to work on cutting-edge challenges in data engineering, analytics, and platform design—powering one of the largest and most advanced AI systems in the world. We value self-starters, someone who has drive and intensity, is curious, highly collaborative and can work across team boundaries, is adaptable as priorities and industry innovation reveal new opportunities, and brings a growth mindset. We’re looking for bold thinkers who are excited to shape the future of Copilot at Microsoft and the future of productivity for our customers.

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.

• Collaborating with a team of PMs and partnering with engineering, data science and internal Copilot teams to deliver a platform that allows them to reduce time to ship and time to insight.
• Partner Engagement & Intake: Collaborate with partner teams to understand evolving data and metric needs. Translate these into actionable platform requirements and drive intake through structured follow-ups and prioritization.
• Bring outside-in insights and perspectives by being curious about industry leading tools.
• Cross-functional/cross-org collaboration: Orchestrate strategy discussions and execution across multiple Engineering & Product teams, ensuring alignment on roadmap, dependencies, and key milestones.
• Data Model Evolution: Anticipate and influence the evolution of data models and schemas based on partner scenarios. Proactively shape schema design to support long-term extensibility and agility.
• End-to-End Data Lifecycle Ownership: Drive the full lifecycle from metric definition to data requirements, dataset curation, and consumption tracking. Ensure data quality, discoverability, and compliance throughout.
• Dataset Onboarding & Consumption: Lead and deliver on the vision of creation of datasets that are critical to iterating on new copilot features, ensuring schema consistency across “eyes-on” and “eyes-off” datasets.
• Latency & Agility Investments: Identify and drive platform investments to reduce data latency and improve agility in experimentation, evaluation, and product iteration.
• Schema Governance & Consistency: Establish and enforce schema governance practices to ensure consistency, reusability, and clarity across datasets and metrics.

Required Qualifications:

• Bachelor's Degree AND 5+ years experience in product/service/program management or software development
  • OR equivalent experience.

Preferred Qualifications:

• Technical fluency and experience in data modeling, big data systems, and experience building data platforms, metrics platforms or experimentation systems.
  
• 6+ years of product management experience in data platforms or infrastructure.
• Ability to lead cross-functional execution across engineering and partner teams.
• Reliable communication and stakeholder management skills.
• Proficiency with AI tools, including vibe coding and building agents.
• Analytical mindset and experience driving latency/agility improvements

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