Software Engineer, Labs

About the role

Ambrook helps American family-run businesses become more profitable and resilient. From volatile markets to climate shifts, independent operators face mounting pressure. While sustainable investments often yield the best long-term returns, they require financial clarity and capital that fragmented legacy systems can’t provide.

We are rebuilding the financial infrastructure that real economy operators rely on. By replacing paperwork with modern tools for accounting, banking, and spending, Ambrook gives owners the data they need to prove viability to lenders and the next generation. We empower the stewards of land and labor to make confident investments in their future.

We’re a Series B startup backed by Lachy Groom, Thrive Capital, Dylan Field, Thomson Reuters Ventures, Cameron Ventures, and leaders at Notion, Gusto, and Vercel. We’re looking for team members to help us untangle the intersection of American industry, climate, and the economy.

ABOUT AMBROOK LABS https://ambrook.com/labs

Ambrook Labs is a small team purpose-built for rapid experimentation on customer-facing AI applications. We prototype, ship, and learn from AI experiments that turn Ambrook's proprietary advantages into category-defining capabilities no horizontal tool can replicate. Ambrook customers span industries underserved by modern AI — the opportunity is to define what business tools look like when they're built with real operational context, data, and domain depth from the start.

The team: Jeff Anders https://jeffanders.co (co-founder, head of design), Henry Bridge https://www.linkedin.com/in/hbridge/ (tech lead), plus 2-3 new engineers (you?). Read more at ambrook.com/labs https://ambrook.com/labs.

WHAT YOU'LL DO

- Run experiments end to end in 1-2 week cycles — prototype, ship to real customers, learn, repeat

- Work directly with operators across agriculture, construction, trucking, and other industries to ground experiments in real problems

- Build the eval framework that lets the team move fast with confidence

- Share what you learn — internal demos and external write-ups are a core output, not an afterthought

- Help figure out what's worth scaling and what's not — and be right often enough that the team builds conviction about where to invest

WHAT YOU BRING

- You've shipped AI/LLM-powered features to real users, not just demos or internal tools

- You're comfortable across the stack: frontend, API, prompts, evals

- You've built 0-to-1 products and are excited by ambiguity, scoping from scratch, and making strategic decisions alongside technical ones

- You have a track record of self-direction: you've consistently identified important problems and gone after them

- You write and share naturally, both internally and externally

- You have a portfolio of side projects, open source work, or the like that shows how you generate and build on ideas