It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. Backed by Greylock and Sequoia.
About the role
For positions in this location, we offer a base pay of $166,500 - $291,400, plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location.
What they're looking for
- Typically 5- 8 years of professional experience in Product Management owning technically complex, high-impact products — ideally with building platforms for machine learning or generative AI products
- Bonus points for having launched features that delivered measurable impact by solving real user problems with AI
- Typically 5+ years of overall varied technology experience
- Understand the market of similar products such as Glean Agent Builder, Microsoft Workflows Agent, and Google Workspace Studio
- Strong technical acumen, including previous experience as a software or ML engineer, enabling you to dive deep on system architecture, APIs, and infrastructure-level decisions
- Exceptional written and verbal communication skills — from clear and structured memos to compelling product narratives. Bonus points for communicating vision and outcomes through blog posts, talks, or webinars
More about this role
At Moveworks, we’re building the most advanced enterprise AI platform in the world — combining generative LLMs, agentic reasoning, enterprise search, and natural conversation into one cohesive product experience. As a Product Manager, you’ll play a key role in shaping the future of our AI Assistant, used by millions of employees around the world.
Our mission is to win the Front Door by being a daily assistant for all employees.
As a Principal Product Manager, you will guide the development of new employee experiences, within EmployeeWorks. You will build AI-powered, web-based capabilities, enabled by deep enterprise integrations.
- Guide the development of new employee experiences on the new Web surface.
- Partner closely with other PMs, ML, engineering, and UX to identify critical capabilities needed to ship delightful and performant AI-powered products.
- Translate ambiguous problems and user feedback into clear product specs and success metrics that guide engineering execution.
- Stay ahead of the curve on AI product trends and research, turning cutting-edge developments into strategic product bets and differentiated features.
- Build alignment across cross-functional partners...
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