Senior Product Manager-AI Skilling
Microsoft
Redmond, WA, US
Onsite
2026-06-26
Announced salary
$119,800 - $261,000
Low
$135K
Median
$179K
High
$311K
Market in Redmond · offers-geo 2025
Estimated net pay
$7,759 - $15,867
/month · 22% withheld
after tax & contributions · Single, no dependents
Job description
**Overview**
We’re building next generation **AI\-powered skilling** experiences that help people and organizations learn faster, prove what they know, and keep pace with Ai driven work. As a **Senior Product Manager**, you’ll set the vision, shape the roadmap, and lead cross functional teams to deliver delightful, measurable learning outcomes on a global scale.
You’ll thrive here if you love turning deep customer insight into bold product bets, partnering closely with Design and Engineering, and shipping high quality experiences that people can’t wait to use. We value **clarity, curiosity, and craft**—and we’ll give you the autonomy and support to do your effective work.
Microsoft’s mission is to empower every person and every organization on the planet to achieve more, and we’re dedicated to this mission across every aspect of our company. Our culture is centered on embracing a growth mindset and encouraging teams and leaders to bring their highly qualified contributions each day. Join us and help shape the future of the world.
In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.
**Responsibilities** **The Senior Product Manager is responsible for the following**:
* Set the North Star – Define the vision and strategy for AI skilling across learner, manager, and enterprise scenarios; translate it into clear success metrics.
* Turn Insight into Product – Use qualitative and quantitative research to uncover unmet needs and convert them into crisp scenarios, roadmaps, and MVPs.
* Lead the Portfolio – Prioritize data informed investments; make tradeoffs across content, platform, telemetry, cost/latency, privacy, and compliance.
* Build AI First Experiences – Partner with Design and Engineering to ship LLM powered features (recommendations, coach, pathways, assessment) that are usable, accessible, and trustworthy.
* Raise the Bar on Qua
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