Head of GenAI Platform

Reposted 16 Days Ago
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Paris, Île-de-France, FRA
Hybrid
Senior level
Artificial Intelligence • Information Technology
The Role
Lead strategy and scaling of Photoroom's GenAI platform: build model training, serving, orchestration, evaluation and inference infrastructure; partner with research to productionize models; drive reliability, cost efficiency and speed; and hire and grow a multidisciplinary ML and platform engineering team to accelerate AI product innovation.
Summary Generated by Built In
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 remote-friendly 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, creating 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

  • Strong technical expertise across Generative AI, Computer Vision or Foundation Models

  • A track record of taking emerging technologies from research into production systems used by millions of users. We don't expect deep, specific agentic-workflow experience, the field is relatively new and nobody has a long track record there, but we do want evidence you can effectively leverage new technologies to productise what's next

  • Experience growing high-performing engineering and research teams through hiring, coaching and organisational design

  • Enough technical depth to follow and meaningfully contribute to an architecture conversation outside your core area, you don't need all the answers, but you must understand the building blocks well enough to ask the right questions and make a call when needed

  • Strong product instincts and the ability to balance long-term technical investments against immediate customer impact

  • Excellent communication skills and experience partnering with Product, Engineering, Marketing and Executive stakeholders

What Success Looks Like

Within your first 12-18 months, you'll have:

  • Established a clear long-term strategy for Photoroom's AI platform

  • Built infrastructure that significantly reduces the time required to ship new AI capabilities

  • Enabled research teams to move new models into production rapidly and reliably

  • Improved platform performance, reliability and infrastructure efficiency at scale, in close partnership with the Infrastructure team

  • Built and retained a world-class team of ML Engineers, Researchers and Platform Engineers

  • Created evaluation frameworks that allow model quality, cost and latency to be measured consistently across the platform

  • Helped define the technical direction that underpins the next generation of AI-powered products at Photoroom

Why This Role Matters

Every AI capability at Photoroom depends on the platform your team builds.

From foundation model training to model orchestration, evaluation pipelines and production inference, you'll shape the technical backbone that enables our teams to innovate quickly while operating at massive scale.

This is an opportunity to influence both the long-term direction of our AI strategy and the systems that process billions of images every year.


About Photoroom

Photoroom was launched in 2020 after being accepted into Y Combinator and has grown into one of the world's leading AI photo editing platforms.

Today we have:

  • Over 300 million downloads

  • More than 5 billion images processed annually

  • Millions of active users across mobile, web and API

  • Customers ranging from individual creators to global brands including Amazon, Shopify, eBay, DoorDash, Decathlon and Depop

We're profitable, growing rapidly and continuing to invest heavily in AI research and product innovation. Our teams train our own foundation models, operate large-scale GPU infrastructure, and build AI products used every day by millions of people worldwide.

Working at Photoroom

We believe great people do their best work when given ownership, autonomy and ambitious problems to solve.

We offer:

  • Competitive salary and meaningful equity

  • Hybrid working from our Paris headquarters

  • Visa sponsorship and relocation support

  • MacBook Pro and full home office setup

  • 30 days annual leave

  • Private healthcare

  • Regular company off-sites and team retreats

  • A collaborative, high-performance engineering culture focused on shipping impactful AI products

Hiring Process
  • Recruiter conversation

  • Leadership & values conversation with our CTO

  • Technical screening

  • Technical case study (working session)

  • Leadership and cross-functional interviews

  • References

  • Offer

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 remotely, 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.

Skills Required

  • Significant experience leading Machine Learning or AI organisations within product-focused companies
  • Experience building and operating large-scale AI platforms, including model serving, orchestration, inference infrastructure or agent frameworks
  • Strong technical expertise across Generative AI, Computer Vision or Foundation Models
  • Experience growing high-performing engineering and research teams through hiring, coaching and organisational design
  • Track record of translating research into production systems used by millions of users
  • Strong product instincts and ability to balance long-term technical investments against immediate customer impact
  • Excellent communication skills and experience partnering with Product, Engineering, Marketing and Executive stakeholders
  • Experience with foundation model training and large-scale GPU infrastructure
  • Experience driving platform reliability, scalability and cost efficiency at massive scale
  • Ability to create evaluation frameworks measuring model quality, cost and latency consistently

Photoroom Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Photoroom and has not been reviewed or approved by Photoroom.

  • Fair & Transparent Compensation Pay is considered competitive across markets, with compensation described as good, competitive, or great and market-aligned ranges referenced by role and location. Feedback suggests salary discussions can be open throughout the year, reinforcing a sense of transparency.
  • Equity Value & Accessibility Stock options (including BSPCE) are commonly included and described as meaningful or generous across roles and regions. Feedback suggests equity is a notable component of total compensation in this growth-stage environment.
  • Leave & Time Off Breadth Time-off provisions are clearly stated in postings, including defined PTO, sick time, and local holidays. Some regions cite substantial annual leave, indicating a strong baseline for rest and recovery.

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The Company
HQ: Paris
271 Employees
Year Founded: 2019

What We Do

Photoroom is the world's 1 AI Photo Editor. Our mission: to put the power of great images into more people's hands. Photoroom elevates businesses through amazing photography. We use AI to make photo-editing feel easy and delightful, and the end results look pro. Since launching in 2019, PhotoRoom has been downloaded over 100 million times worldwide with a 4.7-star rating from 1+ million reviews. PhotoRoom was also named Editor's Choice by both Google and Apple for 2023

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