Finance Engineer - AssemblyAI

Why AssemblyAI

AssemblyAI builds 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.

We are one of the most capital-efficient AI companies on the planet — operating as a true meritocracy with small teams, outsized ownership, and no heavy bureaucracy.

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 revenue operations around it, from deal desk to sales compensation.

The ideal candidate is an engineer first: strong data engineering fundamentals across SQL, Python, warehouse modeling, and orchestration, combined with enough finance and operational fluency to model revenue, cost, and margin without hand-holding. Experience building internal tools and agent workflows that non-engineers rely on daily is what sets this candidate apart.

The role is embedded within the Finance team and reports to the VP Finance.

What You’ll Do

• Own unit economics — build and maintain cost-to-serve, gross margin, and contribution models by product, customer, and workload.
• Own budgeting for the technology organization: cloud and GPU/TPU spend attribution, vendor and capacity forecasting.
• Build and run finance dashboarding — a single source of truth for burn, runway, margin, and company KPIs.
• Automate budget-vs-actuals: live department-level views and overspend alerts.
• Build the deal desk framework: pricing and discount guardrails derived from the margin model, automated quote and order-form generation.
• Automate sales compensation: implement a comp tool and the pipelines behind it so statements, accelerators, and disputes run from CRM and billing data.
• Design and ship finance agents and internal tools — workflows that pull, reconcile, and summarize financial data.
• Build and maintain the finance data layer: pipelines from billing, payroll, cloud, and accounting systems into a well-modeled warehouse.
• Partner with VP Finance, Controller, and engineering leadership to trace discrepancies and ship fixes.

What You’ll Need

• Strong data engineering fundamentals, including SQL, Python, warehouse modeling, and orchestration (dbt, Airflow, or equivalent).
• Measurement discipline: define what a number is for before building, stay skeptical, and treat unexplained variance as a problem.
• Appetite for the whole stack: ability to trace a margin number back to a billing event or cloud tag.
• Experience working with financial or operational data (revenue, cost, billing, payroll, cloud spend).
• 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.
• Strong Python skills; experience with accounting, billing, or ERP system APIs (NetSuite, Stripe) is a plus.
• Excellent communication skills to explain financial data across technical and non-technical stakeholders.