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Product Engineer (Backend/AI) @Briink

CompraTica Empleos

EMP:Technology
Berlin
Tiempo Completo
Remoto
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Descripción

What we doAt 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.

Application requirement: Intro videoAs part of your application, please submit a short intro video (max 2 minutes) answering:Who you are and what you have done/built that is relevant for this role.

 Why you’re excited.

Acerca de

owning and shipping AI-powered products at Briink. Why Briink’s sustainability mission resonates with you.Upload your video using this form (YouTube unlisted, Loom, or any other solution is fine)

We do this to get a better sense of candidates before continuing the process.

Any application without a video will not be considered ;)Your roleAs 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/.

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