7 дней назад
Finance Engineer (AI)
160 000 - 240 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Finance Engineer (AI) (SQL/Python/Data Engineering): Building finance data pipelines, warehouse models, dashboards, and automation for unit economics, technology spend, deal operations, and sales compensation with an accent on trusted financial data and operational tooling. Focus on modeling cost and margin, tracing discrepancies to source systems, and designing internal agents that help non-engineers access and reconcile financial information.
Location: United States
Salary: $160,000–$240,000 per year for candidates in the U.S.
Company
develops Voice AI models and infrastructure for speech applications, processing millions of hours of audio and high-volume inference requests.
What you will do
- Build and maintain cost-to-serve, gross margin, contribution, and unit economics models by product, customer, and workload.
- Own technology budgeting, including cloud, GPU/TPU, vendor, and capacity spend forecasting.
- Develop finance dashboards and budget-versus-actuals automation for burn, runway, margin, and company KPIs.
- Build deal desk workflows for pricing guardrails, quote and order-form generation, and escalation routing.
- Automate sales compensation using CRM and billing data, including statements, accelerators, and dispute workflows.
- Develop finance agents, internal tools, and data pipelines connecting billing, payroll, cloud, and accounting systems to a modeled warehouse.
Requirements
- Strong data engineering fundamentals with SQL, Python, warehouse modeling, and orchestration tools such as dbt or Airflow.
- Experience working with financial or operational data, including revenue, cost, billing, payroll, or cloud spend.
- Ability to model revenue, cost, and margin structures and investigate discrepancies back to their source.
- Track record of building internal tools, dashboards, or automations used daily by non-engineering stakeholders.
- Familiarity with LLM-based agent workflows and applying them to operational processes.
- Strong communication skills for explaining financial metrics and limitations to finance and engineering leaders.
Nice to have
- Finance, accounting, FP&A, analytics, or usage-based and API unit economics experience.
- Experience with accounting, billing, or ERP APIs such as NetSuite or Stripe.
- Revenue operations experience with CRM or CPQ data, sales compensation tools, or deal desks.
Culture & Benefits
- Small, senior team with substantial individual ownership and direct impact.
- Meritocratic environment with limited bureaucracy and direct access to tools and information.
- Equal-opportunity workplace committed to inclusion across backgrounds and identities.
- Compensation is designed to support pay equity and may vary based on experience, qualifications, and internal equity.
Hiring process
- Interview candidates should review 's guidance on the use of AI in the interview process.
- Salary expectations may be adjusted for candidates with different experience levels.
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