Описание

AssemblyAI is looking for a Finance Engineer to join their Finance team to build data pipelines, dashboards, and automation for finance and revenue operations.

Responsibilities

Own unit economics — build and maintain cost-to-serve, gross margin, and contribution models by product, customer, and workload, rebuilt from source data rather than spreadsheets
Own budgeting for the technology organization: cloud and GPU/TPU spend attribution, vendor and capacity forecasting, and the models engineering leadership uses to plan
Build and run finance dashboarding — a single source of truth for burn, runway, margin, and company KPIs that the leadership team and board can trust
Automate budget-vs-actuals: live department-level views and overspend alerts that make budget and margin targets enforceable without manual chasing
Build the deal desk framework: pricing and discount guardrails derived from the margin model, automated quote and order-form generation, and routing so only non-standard deals need escalation — raising deal throughput without finance in the loop on every deal
Automate sales compensation: implement a comp tool and the pipelines behind it so statements, accelerators, and disputes run from CRM and billing data instead of spreadsheets
Design and ship finance agents and internal tools — workflows that pull, reconcile, and summarize financial data so non-engineers get answers without filing a ticket
Build and maintain the finance data layer: pipelines from billing, payroll, cloud, and accounting systems into a well-modeled warehouse
Partner with the VP Finance, Controller, and engineering leadership to trace discrepancies to their real source and ship fixes that hold

Requirements

Strong data engineering fundamentals, including SQL, Python, warehouse modeling, and orchestration (dbt, Airflow, or equivalent)
Measurement discipline: defining what a number is for before building it, staying skeptical of own results until they reconcile, and treating an unexplained variance as a problem rather than noise
Appetite for the whole stack: core strength might be pipelines, but for margin numbers that trace back to a billing event or a cloud tag, the candidate wants to find it themselves
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 — thriving on making manual work disappear and making systems faster and more reliable
Strong Python skills
Excellent communication and a collaborative mindset — explaining what a number means, and what it doesn't, to a VP Finance, a Controller, and an engineering lead

Nice to have

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) is a plus

We offer

Full-time remote role in North America
Salary range: $160,000 - $240,000 USD
AssemblyAI strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for the team
Salary ranges are based on paying competitively for their size, stage, and industry, and are one part of many compensation, benefit, and other reward opportunities provided
Many factors go into salary determinations, including relevant experience, skill level, qualifications assessed during the interview process, and maintaining internal equity with peers on the team
Open to considering candidates who may be more or less experienced than outlined in the job description, with any updates in the expected salary range communicated
The provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range which will be communicated to candidates throughout the interview process

Hiring process

If selected for an interview, please review this resource to better understand how AssemblyAI approaches the use of AI in their interview process
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