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Briink, founded in Berlin, is building AI-powered products for sustainability professionals. You’ll join a small, high-ownership team solving real-world problems at scale.
You’ll design and ship backend systems and AI capabilities end-to-end, collaborating with product and data teams to turn user insights into practical, enterprise-ready solutions.
Your work will impact ESG workflows across organizations globally, with emphasis on reliability, observability, and maintainable code as we grow.
What we do At Briink, we’re building AI technology for the global sustainability economy. We work with the world’s largest climate organizations, including CDP and PRI, and multinational companies such as Bayer, Siemens, Commerzbank, E.ON, and Heidelberg Materials. Our technology helps automate how sustainability data is collected, analyzed, verified, and acted on. Through our work with global climate organizations, what you build at Briink will directly impact the sustainability workflows of more than 30,000 companies, investors, and cities worldwide. We’re a small team working at enormous scale. Your code won’t sit behind an internal tool or an experimental demo — it will help shape how some of the world’s largest organizations understand and act on their environmental impact. Based at Berlin’s AI Campus, with a second office in London, and backed by over €7 million in funding, we want to prove that some of the world’s most powerful technology can also be a powerful force for good.
Briink’s Backend/AI Product Engineer, you’ll join a small, high-ownership product and engineering team building AI-powered products for sustainability professionals. This is not a narrowly scoped backend role. You’ll take meaningful product problems from initial discovery and user conversations through technical design, implementation, and iteration to deploy them at scale across the ESG market. You’ll combine strong backend and AI/LLM engineering with product judgement and the initiative to work out what should be built - not just how to action a predefined ticket.
Technical requirements Strong professional backend engineering experience, with a track record of designing and shipping reliable production systems. Experience in a small, high-ownership product team, ideally within a startup or scale-up engineering organisation of roughly 5–20 engineers. Evidence that you have shipped meaningful products end to end.