Staff Product Manager, Agentic & AI Platform

About us

Founded in 2019 and part of Y Combinator's 2020 cohort, Photoroom is the leading visual solution for e-commerce.

We've raised Series B funding and reached 300+ million users worldwide, processing over 5 billion images annually and serving both small businesses and major enterprises like Amazon, DoorDash, and Decathlon through our mobile app, web platform, and API.

We're a team of 100+ passionate builders giving e-commerce businesses superpowers to create visuals that help them grow, making the hardest parts of selling online disappear. We focus on craft, innovation, and collaboration to create exceptional impact for e-commerce businesses worldwide.

Role Summary

We're looking for a Staff Product 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 configuration step rather than an engineering project. On top of that sits the agentic layer — multi-step visual workflows that generate, check, reason, route and publish on their own. Working closely with engineers, ML researchers, and the product teams who ship on your platform, you'll decide what gets built, why, and how it ships.

Location: Paris, (Hybrid)

About the role

• 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 little to no code and build skills that we can ship directly to users.

• 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 platform as much as for end users.

• 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, and say no with reasons.

• 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 revenue, and turn them into primitives other teams can reuse.

• Use data to decide, not to justify. Pull and interpret data yourself, such as adoption, latency, inference cost per successful generation, eval results. Form hypotheses, measure what shipped, and call what's next. You won't need to wait around for someone else to run the query.
  

About You

• 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 flow runs unattended a million times.

• 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. The value you bring sits in strategy and direction, not in writing tickets.

• 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. On a platform, taste shows up in the interface you make other people build against.

• You create clarity from ambiguity. Given a fuzzy problem, you take action rather than waiting for direction: you structure it, decide what matters, and move.

• You're data-fluent. You pull, interpret, and challenge data yourself, and use it to form a point of view rather than confirm one.

• You thrive in small teams with high autonomy. You can ship without being managed, and can operate in a remote, async-first environment that offers no scaffolding around you.

Benefits

• 25 days + 8–10 RTT

• Competitive equity package with stock options/BSPCE, giving you ownership in our growing company

• €1000 one-time home office grant OR €400 per month co-working space stipend

• €1,000 annual learning and development budget for training, courses, books, and skill development

• Private health insurance

• Access to personalised mental health support, including 1:1 sessions with therapists or coaches, self-care tools, and well-being resources via MokaCare

• Sports and cultural activities reimbursement

• Relocation support (up to 10k) available for those choosing to move to France, including apartment finding and visa assistance

Note: Visa sponsorship and relocation support are only available for positions based in France.

Hiring Process

1. Screening call with Talent Manager (30min)

2. Technical interview with Hiring Manager (60min)

3. Take-home assignment (duration varies by role) and live review with the team (90min)

4. Culture fit interviews and meet the team (~3h in total)

5. Reference check and offer

Support: We value diversity and aim to create an inclusive experience for all applicants. Please let us know if there's anything we can do to make the process more accessible for you.

Diversity, Equity, Inclusion, and Belonging

We're committed to enabling everyone to feel included and valued at work. We believe our company and culture are strongest when composed of diverse experiences and backgrounds.

That's also why we have flexible working hours, trust people to work in a hybrid environment, and extended parental leave.

All qualified applicants receive consideration for employment without regard to age, color, family, gender identity, marital status, national origin, physical or mental disability, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws.