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Ambrook

Software Engineer, Labs

Reposted 2 Months Ago
Remote or Hybrid
Hiring Remotely in San Francisco, CA, USA
115K-260K Annually
Mid level
Remote or Hybrid
Hiring Remotely in San Francisco, CA, USA
115K-260K Annually
Mid level
As a Software Engineer at Ambrook Labs, you will prototype AI applications, run customer experiments, build evaluation frameworks, and contribute to defining operational practices.
The summary above was generated by AI

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

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.

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

  • 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

Why this role
  • 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.

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