Carbonfact (https://www.carbonfact.com/) helps fashion brands lower their carbon emissions with a platform that run fast and scalable life-cycle assessments on the products they sell.
The fashion industry is responsible for 5–10% of global greenhouse gas (GHG) emissions. As pressure for climate action grows, more companies are turning to carbon management tools. But most platforms are generic, lacking the depth needed for driving real change in fashion.
That’s why we built Carbonfact, the only environmental data platform tailored for the textile and fashion industry. Our platform automates product-level life-cycle assessments (LCAs) and company-level carbon accounting, helping brands measure, model, and reduce their impact with precision.
We’ve raised $17M from top-tier investors including Alven, Headline, and Y Combinator, and we’re already trusted by leading brands like Carhartt, GANNI, On, Allbirds, Armedangels, Jack Wolfskin, and many more.
As a Software Engineer on our Surface team (led by Gaby), you’ll build and maintain the interfaces, workflows, and tools that deliver our complex data analysis and carbon impact computations to our customers.
This is a fullstack role with a strong product and UX dimension. You’ll work across data pipelines, backend services, and frontend interfaces, and think deeply about how to present and interact with large-scale, complex datasets in a way that is clear, usable, and impactful for our customers.
Our engineering team is lean, autonomous, and product-focused.
We work in 6-week cycles following the Shape Up method, with cooldown weeks for tech debt and loose ends.
During cycles, we focus on delivering bets—projects with a set time appetite. Engineers own both project management and delivery autonomously, with peer support.
Every day, our software engineers write Typescript, often a bit of SQL, and more rarely dig into some Python code for the parts of our infra we share with our Data team.
We use:
We deploy on Google Cloud, Vercel and Cloudflare, using infrastructure-as-code (terraform). We are well equipped with various tools to speed us up and handle the busy-work for us: Sentry for monitoring, Cubic for AI code reviews, Claude/ChatGPT/Codex/Gemini as needed, Aikido for security scanning, etc.
A few examples of the key challenges you will be working on:
The technologies we started with (and you'll have a key role in changing if needed):
fulltimeParis, IDF, FR / Paris, Île-de-France, FRFull stack€58K - €71K EUR3+ years