AI product-photo editing and generation for e-commerce sellers
Photoroom builds AI-powered product visual tools for online sellers across mobile, web and API, on a Python/Django and PostgreSQL backend with a React/TypeScript front end. A new GenAI Platform Head role, plus pains around inference scaling and per-request cost, shows the company is investing in its own image generation and model serving stack. A senior-skewed, product-heavy hiring mix spans France and the US.
Notable leadership hires: GenAI Platform Head
Photoroom, founded in 2019, offers AI tools that help e-commerce businesses produce professional product imagery without traditional photo shoots. Its products are delivered through mobile apps, a web editor and an API, serving solo sellers through to larger retailers and marketplaces. The company is privately held, employs 51–200 people, is headquartered in New York, and also has an office in Paris. Integrations with commerce and marketing tools such as Shopify, Wix, Squarespace, Canva and Klaviyo appear in its stack, reflecting its focus on SMB merchants.
Photoroom runs Python, Django and Django REST Framework with PostgreSQL and MySQL, a React/TypeScript front end built with Vite, Tailwind CSS and Turborepo, Datadog for monitoring, and Amplitude and Mixpanel for analytics.
Photoroom is headquartered in New York, NY, with an office in Paris. It hires in France and the United States.
Job posts point to image generation infrastructure, a model serving platform, AI-powered features for SMB sellers, scaled Meta advertising, and GDPR compliance operations including data subject request handling.
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Photoroom's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.