Staff Product Manager — No‑Code AI Platform & Agents

Photoroom

Paris

Hybrid

EUR 140,000 - 190,000

Full time

4 days ago
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Benefits offered by this job

Equity stock options
Home office stipend
L&D budget
Private health insurance
Relocation support up to €10k
Visa assistance
Hybrid work environment

Job summary

Photoroom in Paris is seeking a Staff Product Manager to own and evolve the AI platform that powers all products. You will shape the primitives, gateway, and no-code tooling, enabling teams to ship AI features with minimal code and autonomy.

You’ll lead with researchers and engineers to convert model capabilities into shipped features that scale usage and revenue. You will work in a hybrid Paris environment, collaborating with engineers, ML researchers, and product teams to decide what to build,

Qualifications

  • 10+ years in product management delivering business outcomes.
  • Built developer-facing platforms or APIs.
  • Experience shipping agentic or model-backed features.
  • Familiar with GenAI tools and evals.
  • Strong data interpretation and decision making.
  • Comfort in remote, async-first environments.

Responsibilities

  • Own the platform every AI feature runs through and expand the gateway.
  • Build the agentic layer and MCP for multi-step flows at scale.
  • Define problems clearly and partner with engineers/research to ship effortless work.
  • Treat other teams as customers and prioritize across feature roadmaps.
  • Turn AI capabilities into products and reusable primitives for teams.
  • Use data to guide decisions, pull and interpret metrics to form a POV.

Skills

PM leadership
10+ years PM
Platform & APIs
GenAI / AI platforms
Data fluency
Remote/async work
Product taste

Job description

Photoroom in Paris is seeking a Staff Product Manager to own and evolve the AI platform that powers all products. You will shape the primitives, gateway, and no-code tooling, enabling teams to ship AI features with minimal code and autonomy.

You’ll lead with researchers and engineers to convert model capabilities into shipped features that scale usage and revenue. You will work in a hybrid Paris environment, collaborating with engineers, ML researchers, and product teams to decide what to build,

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