Head of Data

✨ About us ✨

Photoroom was launched in 2020 after being accepted into Y Combinator and has become the world's most popular AI photo editor over the past four years. Our mission is clear: to create the best visuals for your commerce.

Photoroom puts the power of great images into more people's hands through our powerful and innovative features, from our best-in-the-world background remover to our generative AI model and tools: AI Images, AI Backgrounds and Shadows, AI Expand, and many more.

Processing over 5 billion images a year and downloaded over 200 million times, Photoroom is now the world's #1 AI photo-editing app, available across mobile, web, and via an API in over 180 countries.

We are at an exciting stage of our journey. Having successfully raised our Series B, we aim at sustaining 40% YoY growth.

Photoroom is a profitable, remote-friendly company headquartered in Paris with a global team of over 80 world-class deep learning, product, and marketing experts with backgrounds at the world's best companies. We are a diverse team of entrepreneurs building for entrepreneurs.

TL;DR

🤓 You'll be the first Head of Data (we already have one data analyst), building the data function from the ground up and shaping your team. You'll own data from A to Z with one goal: answer other teams' questions with data.

💰 €110-€140k* + Stock-Options/BSPCE

🇪🇺 We are flexible: you can work from anywhere in Europe within a 3-hour flight from Paris (HQ) and come to our office once a month (fully reimbursed) or more often. This ensures effective collaboration and supports our commitment to reducing our carbon footprint.

✈️ We offer substantial support for relocation (up to 10k€), including finding an apartment in Paris and supporting you with the visa procedure.

🛂 We currently sponsor visas for individuals relocating to France or already based here. We are unable to sponsor visas for remote positions outside of France at this time.

💻 Technology - new MacBook Pro, monitor, keyboard, etc.

🏖️ Socials - Biannual company retreats, weekly Happy Hour & Game Time

🇬🇧 Photoroom is an international team and we work in English. We offer language lessons for those who need them (English & French).

*We can go higher for outstanding profiles and adapt to the cost of living if it is higher than in Paris.

✨ About the role ✨

Your main goal: help teams find answers in data. You’ll be in in charge of the data at Photoroom, reporting to the CTO. This role combines technical expertise with business acumen. As both an architect and a hands-on contributor, you will build and lead the data team, oversee data infrastructure, engineering, and collaborate with stakeholders across the organization. Your main missions will be:

• Data platform: Own the end-to-end data platform for the whole company Create, own and maintain the data roadmap. Our priorities are, in that order: product analytics, financial reporting, data for machine learning (followed by data for enterprise, data for attribution)

• Data engineering: owning and maintaining the technical stack. We currently have a very clean data warehouse (DBT, Terraform, Snowflake), your role will be to expand it while maintaining data quality

• Team Leadership: Build, mentor, and manage a high-performing data team. You would manage both data engineers and data analysts.

• Collaboration: Work closely with product, engineering, finance and all other teams to identify data needs and opportunities

• Data for AI: you’ll work hand in hand with the machine learning team on projects such as improving models with user data and maintaining a single source of truth for training data

• Insights Delivery: Drive the analysis and interpretation of complex data sets to deliver actionable insights that inform decisions, especially on product and commercial strategies, to optimize business performance, and enhance customer experience.

• Audit, certification and investor relations: provide actionable reports and forecasts

✨ About you ✨

• Candidates relevant for this role tend to have 8+ years of experience in data roles and have managed a team of data scientists and data engineers in the past.

• Proven leadership experience in building and scaling data teams in a startup environment

• Strong expertise in data engineering, architecture, and analytics

• Proven track-record of implementing a self-serve data platform with a large adoption inside the company

• Proficiency with modern data stack tools (e.g., Snowflake, Airbyte, DBT)

• Experience with data analysis for mobile apps (tracking plan, data taxonomy, tools like Amplitude)

• Familiarity with cloud platforms (ideally Google Cloud) and infrastructure-as-code

• Communication and stakeholder management skills. Ability to translate business needs into technical solutions.

• Bonus: experience in data for machine learning, specifically computer vision

If you think you have what it takes but don't meet every single point above, please still apply. We'd love to chat and see if you could be a great fit.

✨ Hiring Process ✨

• Screening call with the Talent Manager

• Technical interview with the Hiring Manager

• Home technical assignment, followed by a review with the team (can be compensated and under 3h)

• Culture fit interviews and meet the team!

• Reference check & Offer

Support - If you have a medical condition or an individual need for an adjustment to our process, and you believe this may affect your ability to be at your best - please let us know so we can talk about how we can best support you and make any adjustments that may be needed.

🌈 Diversity, Equity, Inclusion and Belonging

We are committed to enabling everyone to feel included and valued at the workplace. We believe both the company and its culture are strongest when composed of diverse experiences and backgrounds.

That's why:

- We have flexible working hours

- We trust people to work remotely

- We extended the length of the parental leave

All qualified applicants will 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.