Job description

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. The opportunity Ambrook is building a world-class team to empower farmers, ranchers, and small-business owners using modern AI tools. You’ll shape how we use LLMs and intelligent systems to make messy, high-stakes financial workflows faster, smarter, and more accessible for users across the country. We’re shipping features that lift our customers out of the drudgery of rote bookkeeping and that help them make smart financial decisions, from cashflow management, to enterprise P&L analysis to long term investment planning. Our goal is to supplement our customer’s talents and savvy with the intelligence of a fortune 500 finance team in the form of an AI CFO. We’re looking for someone who we can count on to: - Own: Development of intelligent systems and tools that use LLMs, other generative AI solutions and heuristics to streamline bookkeeping, financial workflows and deeper applications that truly understand the user, as well as the infrastructure for evaluating those systems. - Teach: Best practices around ML system design, evaluation, prompt engineering, and scalable AI infrastructure. - Learn: How messy real world financial data really is - from scanned PDFs to unformatted CSVs to text-heavy emails - and how to make sense of it using language models. - Improve: Our internal tooling and infrastructure for classification, tagging, summarization, and user-in-the-loop AI systems. Within 1 month you'll... - Build an assistant that powers a critical bookkeeping workflow. - Collaborate with operations, product and engineering to understand customer workflows and where AI would reduce user pain. - Review our current AI infrastructure and propose improvements to our evaluation infrastructure, harness design, shared memory, durability and similar foundational components. Within 3 months you'll... - Act on your proposals from month one: scaling our evaluation pipelines, making our harnesses more extensible, and so on. - Implement or improve systems for document extraction and financial transaction tagging, using both heuristics and model-based approaches. - Collaborate closely with design and product to make AI features feel reliable, intuitive, and helpful – not mysterious or brittle. Within 6 months you'll... - Own and scale the systems that form the backbone of our vision for an AI CFO. - Contribute to our long-term AI strategy: which tasks to automate, how to measure confidence, and when to keep a human in the loop. - Help build internal tooling for prompt iteration, embedding search, labeling, and retraining. - Share learnings in a post on Ambrook engineering blog or an open-source tool that helps others tackle similar messy real-world data problems. About you - You've built and shipped ML/AI-driven features to production. - You're excited to apply language models to real-world, unstructured, often ugly datasets, and turn them into valuable product experiences. - You're pragmatic about AI: you know when to use an LLM, when to write a regular expression, and when to ask the user. - You understand the value of experimentation in a rapidly evolving world. - You have experience working with LLM APIs, prompt engineering, embeddings, vector search, or fine-tuning. - Bonus: You've worked on products involving transactions, finance, document processing, or communications tooling. - Bonus: Experience with TypeScript and AI tooling — e.g. Vercel AI SDK, Braintrust or similar eval vendors, and provider APIs (Anthropic, OpenAI, Gemini, Jev). Our Tech Stack - Next.js / React application written in Typescript - AI SDK, Braintrust, access to whatever provider you need - Hosted on Google Cloud - Firestore & Google Cloud Storage for data storage - BigQuery & Data Studio for data insights Values - Real Talk – We create space for ourselves and others to be straightforward, vulnerable, and accountable. - Reach Understanding – We are driven by curiosity and empathy to learn about our customers, team, and world. - Be Proactively Resourceful – We are internally motivated and externally empowered to identify opportunities and solve problems. - Derisk Thoughtfully – We lean into the biggest risks we face as a company and put in the work to address them systematically. - Find the Positive-Sum – We believe in creating incentive structures that align the needs of our company, our customers, and our planet. - Ambrook is an equal opportunity employer. We are committed to building diversity and inclusion into our core company culture. Benefits - Competitive compensation - Health insurance - 401(k) with matching contribution - Paid parental leave - Flexible work hours and vacation time - Work-from-home/remote office stipend - Wellness stipend - Professional development stipend

Requirements

Must-haves

Ambrook helps American family-run businesses become more profitable and resilient.
We’re looking for someone who we can count on to:
Teach: Best practices around ML system design, evaluation, prompt engineering, and scalable AI infrastructure.
Learn: How messy real world financial data really is - from scanned PDFs to unformatted CSVs to text-heavy emails - and how to make sense of it using language models.
Improve: Our internal tooling and infrastructure for classification, tagging, summarization, and user-in-the-loop AI systems.
Within 1 month you'll...
Build an assistant that powers a critical bookkeeping workflow.
Collaborate with operations, product and engineering to understand customer workflows and where AI would reduce user pain.
Review our current AI infrastructure and propose improvements to our evaluation infrastructure, harness design, shared memory, durability and similar foundational components.
Within 3 months you'll...
Act on your proposals from month one: scaling our evaluation pipelines, making our harnesses more extensible, and so on.
Implement or improve systems for document extraction and financial transaction tagging, using both heuristics and model-based approaches.
Collaborate closely with design and product to make AI features feel reliable, intuitive, and helpful – not mysterious or brittle.
Within 6 months you'll...
Own and scale the systems that form the backbone of our vision for an AI CFO.
Contribute to our long-term AI strategy: which tasks to automate, how to measure confidence, and when to keep a human in the loop.
Help build internal tooling for prompt iteration, embedding search, labeling, and retraining.
Share learnings in a post on Ambrook engineering blog or an open-source tool that helps others tackle similar messy real-world data problems.
You've built and shipped ML/AI-driven features to production.
You're excited to apply language models to real-world, unstructured, often ugly datasets, and turn them into valuable product experiences.
You're pragmatic about AI: you know when to use an LLM, when to write a regular expression, and when to ask the user.
You understand the value of experimentation in a rapidly evolving world.

Nice-to-haves

Bonus: You've worked on products involving transactions, finance, document processing, or communications tooling.
Bonus: Experience with TypeScript and AI tooling — e.g. Vercel AI SDK, Braintrust or similar eval vendors, and provider APIs (Anthropic, OpenAI, Gemini, Jev).

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimlllmtypescriptnext.jsreact

Platform: ashby
Effort: quick

Benefits

Benefits detected in the listing.

Health Insurance

Vision

401(K)

Parental Leave

Wellness

Professional Development