Staff AI Product Manager

Job highlights

• This may include using AI-powered tools,automating workflows,analyzing AI-driven insights,or exploring AIs potential impact on the function or industry. . 6-8+ years of PM experience,with recent hands-on work shipping AI / agentic features.
• Experience in leveraging or critically thinking about how to integrate AI into work processes,decision-making,or problem-solving

Job Description

What you get to do in this role:

• Own end to end product outcomes for AP AI Specialist end to end
• Build, dont just spec: prototype agent behavior, stand up demos, validate feasibility with engineering before its 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 doesnt 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 Qualifications

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 AIs 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

FD21

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