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San Francisco, California, United States
Onsite
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.
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 (co-founder, head of design), Henry Bridge (tech lead), plus 2-3 new engineers (you?). Read more at ambrook.com/labs.
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
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
You've demonstrated curiosity about underserved industries: you've read about them, talked to people in them, built something for them, or otherwise taken real action
You'll build AI for customers and industries where the gap between what exists and what's possible is enormous
The Labs team has the buy-in and autonomy to move from idea to shipped experiment rapidly
Direct access to real customers from day one
Ambrook's data pipeline, domain models, and customer relationships give you a foundation for novel approaches and real-world impact
You'll help define how the team operates, not just what it builds
Ambrook is an equal opportunity employer. We encourage you to apply even if you don't meet every qualification listed above. If you've built things you're proud of and you're excited about this problem space, we want to hear from you.