Live opening · Posted 7 days ago

Staff Inbound Product Manager - Agentic AI EmployeeWorks

ServiceNow · Mountain View, California, United States
Smartrecruiters No Full-time
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At a glance

The key details from the original listing.

Posted 7 days ago
CompanyServiceNow
LocationMountain View, California, United States
Job typeFull-time
Work modeNo
SourceSmartrecruiters
Listed7 days ago

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About the role

Description supplied by the original job listing.

The Team: Moveworks Business Unit
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.
What You Will Do:
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 by clearly communicating product vision, roadmaps, and outcomes.
To be successful in this role you have:
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.
Deep familiarity with machine learning concepts and a track record of working closely with ML engineers, particularly in areas such as natural language understanding, semantic search, conversational AI, agentic workflows, and speech technologies.
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.
Proven success shipping enterprise-grade products to large user bases — including developing rollout strategies, customer feedback loops, and go-to-market coordination for features that scale to hundreds of thousands or millions of users.
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.
Sharp analytical and problem-solving abilities, with a demonstrated ability to simplify complexity, make decisions amid ambiguity, and use available data to drive clarity and outcomes.
Demonstrated strength in cross-functional collaboration — aligning engineering, design, data science, marketing, and customer teams around a shared product vision.
A balanced approach to strategy and execution: able to think long-term while consistently delivering high-impact work in the near term. You lead with both empathy and urgency.
Startup DNA — you thrive in fast-paced environments, are energized by ambiguity, and naturally bring structure, prioritization, and momentum to everything you touch.
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. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location.
FD21

Employment type
Full-time

Work arrangement
No

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