Software tailored to apparel, textile, fashion, leather, footwear and luxury. Measure, Report and Reduce their footprint, with a team of data experts. Backed by Y Combinator.
About the role
As a Software Engineer on our Compute team (led by Leonardo ), you'll build and scale the engine that turns raw supplier and product data into environmental footprints. It already computes more than 2 million LCAs per day , and our ambition is to make it the most scalable LCA engine in the world.
What they're looking for
- At least 2 years of experience building software products, with a certain amount of autonomy
- Fullstack background with a solid knowledge of TypeScript
- Rigorous with numbers: you double-check your results, you get uncomfortable when something is off by a few percent, and you can explain how a computation works
- Curious about what we do, and excited by the idea of building the world's most scalable LCA engine. No prior LCA or sustainability knowledge needed. We'll teach you
- Pragmatic, product-minded, and customer-obsessed
- You have strong verbal and written communication skills in English. You'll sometimes be in front of our customers
More about this role
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, Burton, Armedangels, Jack Wolfskin, and many more.
As a Software Engineer on our Compute team (led by Leonardo ), you'll build and scale the engine that turns raw supplier and product data into environmental footprints. It already computes more than 2 million LCAs per day , and our ambition is to make it the most scalable LCA engine in the world.
The Compute team sits at the intersection of our science, data, and engineering teams. You'll turn methodology into code with...
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