ServiceNow
Staff Inbound Product Manager - Agentic AI EmployeeWorks
$166K–$291K
Mountain View, California, United States · Staff · Full-time · Posted Aug 31, 2026
- Experience
- Typically 5–8 years in Product Management and typically 5+ years of overall varied technology experience.
- Visa sponsorship
- For roles requiring access to controlled technology subject to export control regulations, employment is contingent on obtaining any required export license or other government approval.
About the job
Develop AI-powered web experiences for EmployeeWorks, using enterprise integrations to make the AI Assistant a daily employee tool.
What you'll do
- Guide development of employee experiences on the web surface and identify product capabilities with ML, engineering, and UX partners.
- Turn ambiguous problems and user feedback into product specifications, success metrics, roadmaps, and execution plans.
- Track AI trends and research, translating developments into strategic product bets and differentiated features.
What they ask for
- 5–8 years of Product Management experience owning technically complex, high-impact products; ideally building machine-learning or generative-AI platforms.
- 5+ years of overall varied technology experience.
- Deep familiarity with machine-learning concepts and experience working with ML engineers; strong technical acumen, including system architecture, APIs, and infrastructure.
- Experience shipping enterprise-grade products to large user bases, including rollout strategies, customer feedback loops, and go-to-market coordination.
Nice to have
- Launched AI features with measurable impact on real user problems.
- Experience communicating product vision through blog posts, talks, or webinars.
Pay
$166,500 - $291,400 USD base salary
Tools
generative LLMs, machine learning, natural language understanding, semantic search, conversational AI, agentic workflows, speech technologies, APIs
AI focus
Build AI-powered employee experiences, drawing on generative LLMs, agentic reasoning, enterprise search, natural conversation, and machine-learning capabilities.
Model-written summary · the original posting is authoritative