Principal PM Manager
Microsoft
This is an opportunity to lead the Copilot Data and Metrics Platform PM team. This team builds the foundational data infrastructure that fuels Microsoft 365 Copilot experiences. 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 seasoned Principal PM Manager who can bring product leadership 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 drive and intensity, curiosity, collaboration, and a growth mindset, and we’re looking for bold thinkers who are excited to shape the future of Copilot at Microsoft.
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.
Responsibilities
- Leading 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 onboarding of new datasets, 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.
Qualifications
Required Qualifications:
- Bachelor's Degree AND 8+ years experience in product/service/program management or software development
- OR equivalent experience.
- 1+ year(s) of people management experience.
- 8+ years of product management experience in data platforms or infrastructure.
- Bachelor's Degree AND 12+ years experience in product/service/program management or software development
- OR equivalent experience.
- 3+ years people management experience.
- 4+ years experience taking a product, feature, or experience to market (e.g., design, addressing product market fit, and launch, internal tool/framework).
- 6+ years experience improving product metrics for a product, feature, or experience in a market (e.g., growing customer base, expanding customer usage, avoiding customer churn).
- 6+ years experience disrupting a market for a product, feature, or experience (e.g., competitive disruption, taking the place of an established competing product).
- Technical fluency and experience in data modeling, big data systems, and experience building data platforms, metrics platforms or experimentation systems.
- Proven ability to lead cross-functional execution across engineering and partner teams.
- Excellent communication and stakeholder management skills.
- Fluency with AI tools, including vibe coding and building agents.
- Analytical mindset and experience driving latency/agility improvements.
Product Management M5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.