Jobs / Germany / Tarebase

Tarebase

Founding Engineer (Remote - EEA/UK)

Berlin Posted today

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  • No government sponsor record hereThis employer posted directly and does not match a government sponsor register.
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  • Can’t check pay against the visa rulesNo salary stated. Germany EU Blue Card needs at least €50,700 a year (shortage-occupation / recent-graduate: €45,934).
  • Confirmed live todayWhen a source last listed this job as open.
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Can’t check pay against the visa rules
No salary stated. Germany EU Blue Card needs at least €50,700 a year (shortage-occupation / recent-graduate: €45,934). Source: https://www.make-it-in-germany.com/en/visa-residence/types/eu-blue-card, rules effective 2026-01-01.

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About the role

Founding Engineer Role can be based remotely in the EEA or hybrid in our London or Munich offices. Fixed software is the wrong shape for logistics, because every team runs its processes differently. Tare is our solution. Combining agentic AI with deterministic logic means Tare fits to any customer but runs the same way every single time. We have just closed our pre-seed funding round with a top European VC and we are now looking for a founding engineer to build Tare with us. About Tarebase We're Dom and Felix, the two co-founders of Tarebase. Dom is a former SVP at a global unicorn, overseeing tens of millions in global carrier spend, with deep logistics domain experience from Amazon, Nestle and EY. Felix was a founding engineer at Raycast and has spent more than two decades building software systems. We've raised pre-seed funding from a top-tier European VC and are building our MVP together with early design partners, who will become our first customers. As our first employee, you'd have a real say in both the product and the engineering decisions behind it. Logistics is difficult to run well, and experienced people are hard to hire. Smaller businesses often pay too much for shipping, struggle to give customers a good delivery experience, and can't match larger competitors' technology or hiring budgets. The software available to them is often expensive, dated or too cumbersome. We want to make logistics less of a burden so these businesses can spend more time selling their products.They're the customers we want to build for: Europe alone has around 26 million SMEs, employing more than 100 million people. Just putting a chat interface and GPT-wrapper on top of the problem is not what we're building. We're combining extraction and analysis, workflow automation, agentic and compiled AI with deterministic, verifiable logic. Recent advances in AI make more of this possible, but building a system that does it reliably is still hard. We're looking for someone who wants to advance the state of the art in this area with us. About you The description below is an ideal, not a checklist. If you don't tick every box but feel ready for the challenges of being the first engineer at an early-stage startup, we'd still like to hear from you. What matters most to us is that you're motivated, committed, willing to stick with hard problems, and someone we can count on. You have a strong technical background and a track record of building and shipping software systems, whether that's cloud backends, web applications, AI-supported systems or a mix of these. You enjoy working across engineering and product. You think like a product engineer: you care about UX/UI, and you want direct contact with customers and the people who use what you build. You'll work mostly in Rust and TypeScript, across the full stack: data engineering, AI, backend, frontend, infrastructure and deployment. We especially value experience with either language from before AI coding tools and a solid understanding of its ecosystem so you can make considered choices. We also value experience operating distributed systems and data-intensive systems in the cloud, including multi-tenant environments and the scaling and security challenges they bring, databases, and durable execution runtimes. You use coding agents effectively, but stay close to the code. You know their limitations in a large codebase, review and challenge their work, and take testing, debugging, refactoring and documentation seriously. You can design useful tests and evaluations, manage complexity, and tell when something is genuinely ready to ship. You also enjoy digging into challenging problems. You keep up with what current models, agent harnesses and research make possible, and you can judge what actually works for

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