Staff AI Product Manager

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.

What you get to do in this role

• Own end to end product outcomes for AP AI Specialist end to end

• Build, don't just spec: prototype agent behavior, stand up demos, validate feasibility with engineering before it's a roadmap item

• Take an ambiguous problem (a customer pain point, an eval failure, a platform constraint) and figure out the right shape of the solution without waiting for it to be handed to you fully formed

• Define what "good" looks like for agent behavior — success criteria, eval scenarios, confidence thresholds — and use eval methodology as a real lever for product decisions, not a checkbox

• Partner with the platform/orchestration team on architecture tradeoffs (agent design, latency, oversight vs. automation), with enough technical depth to push back when something doesn't hold up

• Translate technical tradeoffs into plain language for engineering, architects, and execs — get in front of real users early to validate before building further

• Thrive in ambiguity: create structure where none exists, and pull the work forward through clarity and credibility rather than process

To be successful in this role you have

• Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry.

• 6-8+ years of PM experience, with recent hands-on work shipping AI/agentic features

• Comfortable prototyping and in the weeds with engineering: reviewing implementations, standing up demos, not just writing requirements

• Solid understanding of agent architectures — orchestration, tool use, multi-step reasoning — and how to translate that into a scoped roadmap

• Excellent communicator, able to align engineering, architecture, and stakeholders who all want different things

• AP/finance domain knowledge is a nice-to-have, not a requirement

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