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Odin is building the investment infrastructure for the future of private markets. We believe capital is one of the most powerful tools for shaping the world - and more people should know how to put it to work. Our mission is to make it radically easier to raise and deploy capital, so that anyone, anywhere, can back the companies and ideas they believe in. Our first product is a full-stack platform for launching and running private investment firms - think Shopify for VC and PE. We handle all the infrastructure: from legal structuring and investor onboarding to KYC/AML, payments, tax, reporting, and exits. We’re already trusted by over 10,000 angels, VCs, and founders. We administer over $500m in assets, covering investments from pre-seed to series E. This includes household names like ElevenLabs, OpenAI, SpaceX, xAI, Anduril, etc. but also new companies creating everything from synthetic brains to small nuclear reactors. Why we’re hiring We're post-PMF and revenue generating, launching in the US ahead of a Series A. Early enough that you'll shape how engineering works here, late enough that you're not gambling on whether the product works. You'll own significant parts of the product and ship the things customers feel most. It's a regulated platform moving money across multiple jurisdictions, so the work has to be right and it still has to be fast. We also want the bar to move while you're here. Senior engineers set the standard through the quality of what they ship, how they review, and the problems they choose to fix rather than work around. Alongside that, we're rethinking how we build with AI. We use the tools, but we know there's a step change available to teams who redesign their whole workflow around them rather than adding AI to how they already work. If you've already done that somewhere else, you'll have a lot of room here. What we're looking for You've built and run non-trivial production systems, and you've learned what works in which situations rather than defaulting to one approach. Strong architectural judgement. Most of our code is now written by an LLM, which means you need to own the decisions around it: how the system is structured, what the patterns are, whether the thing being built is the right thing at all. Our stack is Go, and if you learn quickly, not having written it isn't a problem. A serious AI practice. You can talk specifically about how AI has changed the way you build, what it's actually made faster, and what you've shared with the teams you've worked in. Directness. You give feedback when something isn't good enough and take it just as well. Good instincts about what's worth doing. You know when something needs to be built properly and when it doesn't, and you push for the work that makes everyone around you faster. Probably not for you if You think the impact of AI on engineering is overstated. You'd rather be handed a fully specified ticket than question the brief. Or the learning curve across finance, compliance and multiple jurisdictions sounds like a chore rather than the interesting part. The people who do well here find that last bit genuinely interesting. Understanding how capital actually moves, and what the rules allow in each jurisdiction, is most of what makes this product hard to build and hard to copy. The hiring process Three stages, usually inside two weeks, with detailed feedback within 24 hours of each one. Call with Imani, our Head of People and Talent . You'll get a proper picture of the role and the company, and we'll get into how you work and how you build. System design session with our engineering team . No leetcode and no take-home. We want to see how you approach a problem and structure a solution. Paid trial day. A real Odin problem with everything you need handed to you. You see how we work, we see how you ship.

Founding Software Engineer

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Founding Software Engineer

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