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Finance Engineer

AssemblyAIUnited StatesFinance
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Salary
$160K - $240K USD
Job type
Full-time
Posted
24 Sept 2026
Status
Open · checked 7d ago

About this role

Role Overview

The Finance Engineer at AssemblyAI in the United States builds the data pipelines, dashboards, and automation tools that run the finance function and revenue operations. This role suits an engineer with strong data foundations and an interest in financial systems who wants to operate finance as a lean, system-driven team.

Key Responsibilities

Own unit economics by building and maintaining cost-to-serve, gross margin, and contribution models by product, customer, and workload from source data.
Manage budgeting for the technology organization, including cloud and GPU/TPU spend attribution, vendor forecasting, and capacity planning models.
Create trusted finance dashboards tracking burn, runway, margin, and company KPIs for leadership and the board.
Automate budget-versus-actuals tracking with live departmental views and overspend alerts.
Establish the deal desk framework with pricing guardrails, automated quote generation, and routing to increase deal throughput.
Automate sales compensation by implementing comp tools and pipelines using CRM and billing data.
Design and deploy finance agents and internal tools to streamline data retrieval and reporting for non-engineers.
Build and maintain the finance data layer connecting billing, payroll, cloud, and accounting systems to a warehouse.
Partner with executive leadership to trace data discrepancies to their source and implement permanent fixes.

Requirements

Strong data engineering fundamentals encompassing SQL, Python, warehouse modeling, and orchestration tools such as dbt and Airflow.
Strong measurement discipline, defining metrics clearly and treating unexplained variances as problems to solve.
Appetite for the full stack, with a willingness to investigate root causes across billing events or cloud tags.
Experience working with financial or operational data like revenue, cost, billing, payroll, or cloud spend.
Track record of building internal tools, dashboards, or automations relied upon by non-engineers daily.
Familiarity with LLM-based agent workflows and practical application to operational processes.
Enthusiasm for automating manual work and improving system reliability.
Excellent communication skills to explain financial data clearly to technical and financial leaders.

Nice to Have

Finance or accounting background, prior FP&A, analytics, or accounting experience, or a grasp of usage-based and API unit economics.
Revenue operations exposure including CRM or CPQ data, sales compensation tools, or deal desk management.
Proficiency with accounting, billing, or ERP system APIs like NetSuite or Stripe.

Skills and Tools

Python
SQL
LLM
Airflow
dbt

Salary and Benefits

Expected salary range of $160,000 to $240,000.
Compensation is determined by relevant experience, skill level, qualifications, and internal equity.

About the Company

AssemblyAI builds voice AI models that power voice applications and process millions of inference calls and audio hours daily. Operating as a lean, capital-efficient team with under 100 people, the company fosters a meritocratic environment with outsized ownership and impact for every team member.

How to Apply

Apply on the official company careers page by submitting your application details.

Skills and tech stack

Questions candidates ask

What is the location of the Finance Engineer role?

The position is located in the United States.

What is the salary range for this position?

The expected salary range is $160,000 to $240,000, depending on relevant experience, skill level, and qualifications.

Who does the Finance Engineer report to?

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

What core technical skills are required?

Candidates need strong data engineering fundamentals including SQL, Python, warehouse modeling, and orchestration tools like dbt and Airflow.

What does AssemblyAI do?

AssemblyAI builds voice AI models that power voice applications, serving millions of inference calls and processing extensive audio hours daily.

Ready to apply?

The application is on the official AssemblyAI careers page.

Apply on company site