Principal Product Manager, Cowork / Autopilot

Redmond, US · Mountain View, US · San Francisco, US · New York, US
Hybrid
Posted 1 month ago

About this role

Overview

Lead the vision and execution for the fastest growing, next-generation agentic AI products at Copilot. We are hiring a Principal Product Manager (PM) for the Agentic Experiences team within the AI Experiences (AIX) organization at [REDACTED] to drive quality and reliability for core capabilities across Cowork and Autopilot.

Copilot Cowork is [REDACTED]'s agentic system for delegating complex, multi-step work. Describe the outcome you want, and Cowork builds a plan, grounds it in your emails, meetings, files and data, and carries it out across [REDACTED] 365, with checkpoints that keep you in control. It's generally available worldwide, and more than half of the Fortune 500 already use it.

Autopilot is a new kind of always-on, digital teammate in [REDACTED] Copilot. It has its own identity and memory, works in the background across Teams, Outlook and your documents, and acts on your behalf without being prompted each time. It operates within your organization's permissions and policies, so work keeps moving even when you're not at your desk.

As a Principal PM, you will be a part of a high-impact team dedicated to translating breakthrough model & harness innovation into transformative products for Copilot. The Agentic Experiences team thrives on rapid innovation, cross-functional collaboration, and a culture that values curiosity, autonomy, and bold problem-solving. We seek PMs who have shipped 0-to-1 agentic products at leading AI startups or labs, driven growth or mindshare in the AI space, and excel in fast-paced, ambiguous environments.

If you’re energized by building the future of generative AI experiences and want to shape how intelligent agents empower millions, we want to hear from you.

[REDACTED]’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.

AI Experiences employees who live within a 50- mile commute of a designated [REDACTED] Hub in the U.S. are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.

Responsibilities

  • Identify user workflows 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, 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, and safety throughout development.
  • Set up data processes for sourcing, labeling, and using data to boost model and product performance.
  • Work with infrastructure and platform teams to balance capability, speed, cost, and reliability for scalable products.
  • Write clear documents to keep stakeholders aligned on product goals, priorities, and decisions.
  • Promote adoption by showing how technical features translate into user benefits and growth.
  • Make informed decisions in uncertain situations, manage risks and incidents, and support continuous improvement through postmortem review

Qualifications

Required Qualifications:

  • Bachelor's Degree AND 8+ years experience in product/service/program management or software development
  • OR equivalent experience.

Preferred Qualifications:

  • Bachelor's Degree AND 12+ years experience in product/service/program management or software development
  • OR equivalent experience.
  • 5+ years of experience launching 0-to-1 products (from concept to market) in a consumer-facing product environment.
  • 3+ years of experience building products that leverage AI/ML technologies.
  • Experience managing and shipping 0-to-1 agentic products in an AI lab or an AI-focused startup.
  • Proven track record of collaborating with cross-functional teams (engineering, design, research) to deliver user-facing features.
  • Familiarity with experimentation tools, data analytics, and working knowledge of SQL or coding (Python, JavaScript).
  • Effective collaboration and communication skills with a bias for action and inclusion.

#AIX

Product Management IC5 - The typical base pay range for this role across the U.S. is USD $142,800 - $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: [REDACTED]

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

[REDACTED] 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.

Salary Range

142,800 - 304,200 USD annually

Recommended Skills for this Position

AI UX Design
Human-AI Interaction Design
UX Strategy
Feature Prioritization
Data-Driven Design
User Research
Cross-Functional Collaboration
Design Metrics and KPIs
Iterative Design
Stakeholder Communication and Influence
Ethical AI Design
Human-Centered Design

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