Finance Engineer

🔥 7 minutes ago

🇺🇸 United States – Remote

💵 $160k - $240k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

💸 Financial Planning and Analysis (FP&A)

👻 Ghost score 0%

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AssemblyAI

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

📣 Marketing

📦 Logistics

💰 $30M Series B on 2022-07

Consulting • Marketing • Logistics

AssemblyAI is an API platform specializing in state-of-the-art AI models, particularly in the field of speech recognition and understanding. The company closely monitors advancements in AI research to enhance its production-ready models. Developers and product teams leverage AssemblyAI's API for various applications, including transcription, conversation intelligence, summarization, and audio/video content moderation. The introduction of their framework, LeMUR, allows users to effectively apply powerful language models to transcribed speech, further broadening the capabilities of their offerings.

📋 Description

• 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

• 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

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