Finance Engineer

AssemblyAI

. Own unit economics by building and maintaining cost-to-serve, gross margin, and contribution models .

Posted 11/2/2026full-timeRemote • United StatesMid-LevelSenior💰 $160,000 - $240,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates strong data engineering fundamentals with expertise in SQL and Python, alongside the ability to build and maintain finance dashboards and data pipelines. Proficient in automating financial processes and collaborating cross-functionally to enhance operational efficiency.

Highest-signal resume keywords

SQLPythonData Engineering FundamentalsFinance Dashboard DevelopmentAutomation of Financial Processes

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline DevelopmentWarehouse ModelingOrchestration (dbt, Airflow)Financial Data AnalysisCost-to-Serve ModelingGross Margin AnalysisContribution ModelingSales Compensation AutomationInternal Tool DevelopmentBudgeting and Forecasting

Soft Skills

Excellent CommunicationCollaborative Mindset

Tools & Technologies

CRM SystemsBilling DataAccounting Systems APIsNetSuiteStripe

Industry Keywords

FinanceRevenue OperationsOperational DataCost StructuresMargin Structures

Tech Stack

Tools & technologies

AirflowCloudERPPythonSQL

About the role

Key responsibilities & impact

Own unit economics by building and maintaining cost-to-serve, gross margin, and contribution models
Own technology organization budgeting, including cloud and GPU/TPU spend attribution, vendor and capacity forecasting
Build and run finance dashboards for burn, runway, margin, and company KPIs
Automate budget-versus-actuals with department-level views and overspend alerts
Build deal desk pricing guardrails, quote and order-form generation, and routing workflows
Automate sales compensation using CRM and billing data
Design and ship finance agents and internal tools for pulling, reconciling, and summarizing financial data
Build and maintain finance data pipelines from billing, payroll, cloud, and accounting systems into a modeled warehouse
Partner with Finance, Controller, sales, engineering, and infrastructure leadership to trace discrepancies and ship fixes
Report to the VP Finance and work cross-functionally across the organization

Requirements

What you’ll need

Strong data engineering fundamentals, including SQL, Python, warehouse modeling, and orchestration (dbt, Airflow, or equivalent)
Experience working with financial or operational data — revenue, cost, billing, payroll, or cloud spend — and fluency in revenue, cost, and margin structures
Track record of building internal tools, dashboards, or automations that non-engineers rely on daily
Familiarity with LLM-based agent workflows and applying them to operational processes
Strong Python skills
Excellent communication and collaborative mindset
Experience with accounting, billing, or ERP system APIs (NetSuite, Stripe, or similar) is a plus
Finance/accounting background and revenue operations exposure are bonuses, not required