Finance Engineer

AssemblyAI

10h•$160,000 - $240,000•Remote

About The Position

AssemblyAI is seeking a Finance Engineer to join their Finance team. This role focuses on building data pipelines, dashboards, and automation to support the finance function and revenue operations, from deal desk to sales compensation. The goal is to operate finance as a lean, senior team that relies on systems rather than headcount. The ideal candidate is an engineer with strong data engineering fundamentals (SQL, Python, warehouse modeling, orchestration) and sufficient finance/operational fluency to model revenue, cost, and margin independently. Experience building internal tools and agent workflows for non-engineers is highly valued. This cross-functional role involves collaboration with various leaders across the company, including VP Finance, Controller, sales, engineering, and infrastructure. The position is embedded within the Finance team and reports to the VP Finance.

Requirements

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 it, stay skeptical of results until they reconcile, and treat unexplained variance as a problem.
Appetite for the whole stack: willingness to investigate issues across different systems (billing, cloud tags, etc.).
Experience working with financial or operational data (revenue, cost, billing, payroll, cloud spend).
Sufficient 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 operational processes.
Enthusiasm for automating existing processes.
Strong Python skills.
Excellent communication and a collaborative mindset: ability to explain numbers to various stakeholders.

Nice To Haves

Finance or accounting background: prior FP&A, analytics, or accounting experience, or a strong grasp of usage-based and API unit economics.
Revenue operations exposure: experience with CRM or CPQ data (Salesforce, HubSpot, or similar), sales comp tools (CaptivateIQ, Spiff, QuotaPath, or similar), or running a deal desk.
Experience with accounting, billing, or ERP system APIs (NetSuite, Stripe, or similar).

Responsibilities

Own unit economics: build and maintain cost-to-serve, gross margin, and contribution models by product, customer, and workload, rebuilt from source data.
Own budgeting for the technology organization: cloud and GPU/TPU spend attribution, vendor and capacity forecasting, and models for engineering leadership.
Build and run finance dashboarding: create a single source of truth for burn, runway, margin, and company KPIs for leadership and the board.
Automate budget-vs-actuals: develop live department-level views and overspend alerts to make budget and margin targets enforceable.
Build the deal desk framework: establish pricing and discount guardrails from the margin model, automate quote and order-form generation, and routing for non-standard deals.
Automate sales compensation: implement a compensation tool and its supporting pipelines for statements, accelerators, and disputes.
Design and ship finance agents and internal tools: create workflows for pulling, reconciling, and summarizing financial data for non-engineers.
Build and maintain the finance data layer: create 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 implement fixes.