Agent Product Manager
Job description
About the role
The role defines, launches, and scales AI agents that drive measurable outcomes for essential services customers. The team delivers tangible business value and operational leverage through AI-first solutions in the physical economy.
Product managers decide what a team builds and why. They gather customer feedback, define requirements, and set priorities. Product work spans engineering, design, and business teams and ships products that solve real problems. The role combines research, writing, analysis, and decision making under uncertainty. Product work happens at the intersection of user needs, business goals, and technical feasibility. Most product managers own a roadmap and are judged by the outcomes their teams ship.
Key facts
What you'll do
Customer needs are translated into product direction, ensuring agent experiences deliver clear business value and operational leverage.
New use cases are identified, business cases are crafted, and cross-functional collaboration turns successful deployments into long-term, multi-product relationships.
Executive discussions are led through QBRs and escalations, with issues addressed clearly to reset expectations and reduce churn risk.
Requirements
Three or more years in product management, consulting, or customer-facing technical roles where complex workflows were converted into measurable product outcomes.
Fluency with BI and SQL tools, plus comfort reasoning about APIs and integrations enables effective collaboration with engineering teams.
Success metrics are defined, feedback loops are instrumented, and data drives decisions to prioritize iterations and improvements.
Deep customer understanding guides question-led discovery, uncovers hidden pain points, and results in solutions that endure.
Complex technical details are distilled into executive-level clarity to align cross-functional stakeholders on shared outcomes.
High-stakes issues are managed while multiple stakeholders are aligned on concrete action plans under pressure.
Nice to have
Hands-on experience building or deploying AI agents, automation, or workflow products accelerates contribution.
Enterprise SaaS, AI infrastructure, or technical consulting backgrounds provide relevant context for the role.
Technical or quantitative degrees such as Computer Science, Engineering, Mathematics, or equivalent fields support the work.
Skills & tools
The role relies on general knowledge of AI agents, automation platforms, and workflow products used in enterprise environments.
Practical notes
This position operates in San Francisco under equal opportunity employment standards.
Typical interview steps
Product interviews often include a product sense round, an analytical round, and a behavioral round. Candidates may be asked to design a feature, prioritize a backlog, or estimate a metric. Some loops include a case exercise. Strong candidates show structured thinking and customer empathy. Interviewers want to see how you prioritize when everything matters. Walking through your decision criteria out loud is a strong habit in product interviews.
Good to know
Builder backgrounds from leading technology companies and top research institutions shape how frontier AI integrates with physical workflows.
The role balances product strategy, data analysis, and cross-functional execution in fast-moving, high-impact initiatives.
Rigorous thinking, craftsmanship, and constant refinement of first principles define the execution culture.
Ownership, resilience, and clear communication drive alignment across teams and stakeholders.
Questions to ask
Useful questions for the interview: what a typical week looks like, how work is assigned, what tools the team uses, and how feedback works. Asking how the role has changed recently and what the team wishes it had known when joining is also reasonable. Questions about the manager's priorities are especially valued.
Career growth
Product careers usually move from associate to product manager, then to senior, group, or director levels. Some people specialize in growth, platform, or enterprise products. Others move into general management. Success depends on shipped outcomes rather than shipped output. Product careers often reward generalists early and specialists later. Experience shipping measurable outcomes is the strongest signal for promotion.