Head of GenAI 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.

Head of GenAI Platform

Role Summary

We're looking for a Head of GenAI Platform to lead the strategy and technical direction behind Photoroom's generative AI platform, spanning model orchestration, evaluation, agentic workflows, and foundation model training, enabling our teams to ship breakthrough AI products faster than anyone else. You'll partner closely with our Infrastructure team on inference infrastructure and model serving, rather than owning that layer outright.

This is a highly strategic leadership role combining strong technical grounding, organisational leadership, and product thinking. Deep technical expertise already exists across our ML and Research teams, so we're not looking for the single deepest expert in the room, we're looking for someone who has been hands-on in ML or research themselves, understands the space well enough to lead a credible technical conversation and make sound calls, and can create the conditions for that expertise to thrive. You'll work closely with our CTO and senior leaders across Product and Engineering to shape how AI is built, deployed, and scaled across the company.

Compensation: Competitive salary + meaningful equity

Location: Paris, France (Hybrid)

Relocation: Visa sponsorship and relocation support up to €10,000 available

About the Role

You'll be responsible for building both the technical foundations and the organisation that enable Photoroom's next generation of AI products.

Your responsibilities will include:

Defining the long-term vision and technical strategy for our GenAI Platform around model orchestration, evaluation, agentic workflows and foundation model training

Partnering with our Infrastructure team on inference infrastructure, model serving and reliability, so the platform stays scalable and cost-efficient across billions of inference requests

Partnering with Research to rapidly bring new models into production

Leading and growing a multidisciplinary team of ML Engineers, Software Engineers and Researchers, setting direction for the team as a whole, while day-to-day management of individual contributors continues through the team's existing engineering leads

Creating an environment where ambitious technical ideas can move from research to production in days rather than months

Building evaluation frameworks that measure model quality, cost and latency consistently across the platform

Working closely with Product, Engineering and Executive leadership to ensure platform investments directly accelerate product innovation

What You'll Bring

We're looking for someone with strong technical grounding and proven leadership experience. You don't need to be the foremost technical authority in every area, as that depth already exists in the team, but you should have been a hands-on ML/research practitioner at some point in your career, ideally with some research experience, so you can lead the function credibly.

You'll likely have:

Significant experience leading Machine Learning or AI organisations within product-focused companies, having started your career as a hands-on ML engineer or researcher before moving into leadership

Experience building and operating AI platforms: model orchestration, evaluation pipelines or agent frameworks, with enough grounding in inference infrastructure and model serving to partner effectively with an Infrastructure team, without needing to own that layer directly