Backed by Accel, Insight and Y Combinator.
About the role
We're looking for a Finance Engineer to join our Finance team, building the data pipelines, dashboards, and automation that run the finance function and the revenue operations around it, from deal desk to sales compensation. Our goal is to operate finance as a small, senior team that runs on systems rather than headcount — and how well we do that depends on how quickly anyone here can get a trusted number on unit economics, cash burn, or technology spend and act on it.
What they're looking for
- Strong data engineering fundamentals , including SQL, Python, warehouse modeling, and orchestration (dbt, Airflow, or equivalent)
- Measurement discipline. You define what a number is for before you build it, you stay skeptical of your own results until they reconcile, and you treat an unexplained variance as a problem rather than noise
- Experience working with financial or operational data — revenue, cost, billing, payroll, or cloud spend — and enough fluency in revenue, cost, and margin structures to model them without hand-holding
- A track record of building internal tools, dashboards, or automations that non-engineers rely on daily
- Familiarity with LLM-based agent workflows and comfort applying them to real operational processes, with a clear-eyed view of where they break
- Enthusiasm for automating existing processes — you thrive on making manual work disappear and making systems faster and more reliable
More about this role
AssemblyAI builds the best-in-class Voice AI models powering the next generation of voice applications. Our models serve 600M+ inference calls monthly, process 1M+ hours of audio daily, and power 2 billion+ end-user experiences. The Voice AI space is at an inflection point; we’re looking for folks truly excited to join a small team and help define the future of the industry.
We are one of the most capital-efficient AI companies on the planet - with under 100 people generating roughly $600K ARR per employee, we sit among the top 5 most revenue-dense teams within the fastest-growing AI companies today. That's not an accident; it's a deliberate choice to stay lean, move fast, and give every person on the team outsized ownership and impact. With thousands of customers including Granola, Fireflies, Figure AI, and CallRail, the company has real scale - processing over 2 million hours of audio daily and handling more than 1 million API calls every day. This is a rare growth-stage opportunity where the business is proven and the trajectory is steep, but the team is still small enough that your fingerprints are on everything.
If you've ever felt buried under layers of bureaucracy, starved...
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