Staff Inbound Product Manager - Agentic AI EmployeeWorks
It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for everyone—freeing people from busywork so they could focus on meaningful work. Today, ServiceNow is the AI control tower for business reinvention. Our ServiceNow AI platform brings together any AI, any data, and any workflow— helping 85% of the Fortune 500® work smarter, faster, and better. We're building an AI-native culture where technology and talent are unstoppable together. And we're just getting started.
Join us to put AI to work for people.
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...