Campfire is the AI-native ERP built for lean finance teams. Automate reconciliations, close faster, and scale revenue without adding headcount. Backed by Accel, Y Combinator and Techstars.
About the role
ERP implementations are one of the hardest unsolved problems in enterprise software. They're historically slow, manual, and consultant-heavy — months of spreadsheets, mapping documents, and billable hours. At Campfire, we're building AI agents to automate the heavy lifting and cut implementations from months to weeks.
What they're looking for
- Strong full-stack engineering fundamentals — our stack is Python, NextJS/React — and comfort building frameworks and tooling, not just the business logic inside them
- Experience building and operating data pipelines. Snowflake experience is a plus, but not a requirement
- Experience building AI agents or LLM-powered systems is a strong plus
- Self-driven and autonomous — we trust you to take the reins, manage your own work, and lead projects to the finish line
- Comfortable with agility and ambiguity — the team is lean and moves fast, and some of our hardest problems, like live data integration, don't have established playbooks yet. You'll help write them
- 📢 Let's Connect
More about this role
Campfire builds modern ERP software for finance teams — bringing accounting, close, and reporting into one fast, intuitive system. We're a small, senior team obsessed with craft, speed, and making complex financial software feel simple.
ERP implementations are one of the hardest unsolved problems in enterprise software. They're historically slow, manual, and consultant-heavy — months of spreadsheets, mapping documents, and billable hours. At Campfire, we're building AI agents to automate the heavy lifting and cut implementations from months to weeks.
As a Data Engineer, you'll be an architect of the agentic platform at the heart of that effort: the system that moves customers onto Campfire and keeps their financial data live and in sync once they're there. It's the machinery that determines how fast the company scales — every improvement you ship compounds across every future implementation.
This is not a traditional data engineering role. You won't be writing SQL inside someone else's ETL tool. You'll be building the platform itself, and the AI agents that run on it, with real ownership over what you build and work that ships to customers fast.
Designs and builds pipelines that...
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