Staff Product Manager, Agentic & AI Platform

Job summary

Responsibilities

We're looking for a StaffProduct Manager to own the AI platform every Photoroom product is built on. Our mission is that any team ships best-in-class GenAI visuals without needing a backend engineer: the primitives, the gateway and the no-code tooling turn adding an AI capability into a…

• Own the platform every AI feature runs through. Expand and improve our AI gateway, including safeguards, evals, cost and observability, giving teams the ability to ship with…
• Build the agentic layer and Photoroom’s MCP. Visual agents that run multi-step flows: generate, QA, route, retry, publish, all unattended and at catalog scale.
• Define the problem before the solution. Sharpen the problem, then partner with engineering and research to ship work that feels effortless — for the developers and PMs using the…
• Treat other teams as your customers. Every team's roadmap contains AI features gated on platform work. You'll prioritise across them, hold a strategy rather than a request queue…
• Turn AI capabilities into products people want. Work hand-in-hand with our researchers and engineers to convert new model capabilities into shipped features that move usage and…

What they're looking for

• You've shipped products users love. 10+ years as a PM, with multiple launches where you have solved a user’s problem and delivered business outcomes.
• You've built platform, infrastructure or developer-facing products. APIs, SDKs, internal platforms, ML infrastructure — products whose users are engineers.
• You've shipped something agentic or model-backed into production. You understand evals, guardrails, non-deterministic output, cost per call, and what breaks when a multi-step…
• AI has reshaped how you work. You use Claude or equivalent every day, for prototyping, testing with users, or automating the parts of the job that used to fill your calendar.
• You have demonstrable product taste. You can show specific work where the details matter and explain the calls you made, including the ones you'd make differently now.