Principal Inbound Product Manager - AI Assistant (Agentic Workflows)- MoveWorks

ServiceNow•Santa Clara, CA

20h•$221,200 - $387,100•Onsite

About The Position

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 Staff 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 lead the development of a new capability area - Agentic Workflows, in which LLMs and tools are orchestrated through predefined set paths. Employees will leverage Agentic Workflows to automate tasks in their daily routine, increasing the utility of the AI Assistant.

Requirements

Typically 7+ years of professional experience in Product Management owning technically complex, high-impact products — ideally with building platforms for machine learning or generative AI products.
Typically 15+ 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, or a technical degree (B.S. or M.S. in CS or related field), 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.

Nice To Haves

Bonus points for having launched features that delivered measurable impact by solving real user problems with AI.

Responsibilities

Lead the development of this new capability and bring it to the market.
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.