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2 дня назад

Finance Manager (AI)

180 000 - 210 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
middle/senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Finance Manager (AI): Managing financial analysis for GPU infrastructure and R&D investments with an accent on unit economics, gross margin, and operating budgets. Focus on building financial models, partnering with engineering and product teams, and establishing scalable reporting processes for a high-growth AI company.

Location: San Mateo (Hybrid)

Compensation: $180,000 – $210,000 per year

hirify.global is a high-growth AI platform company backed by major venture capital firms, specializing in building, training, and serving enterprise-grade AI models.

What you will do

  • Own the financial model for the GPU fleet, including capacity commitments, utilization, and cost-per-hour analysis.
  • Serve as a finance partner to Engineering, Product, Security, and IT for headcount planning and operating budgets.
  • Evaluate cloud and GPU provider contract structures to surface optimization opportunities.
  • Forecast and explain compute, cloud, and R&D spend variances to leadership.
  • Build reporting dashboards and processes to make compute and R&D economics legible.
  • Contribute financial inputs to board materials and fundraising processes.

Requirements

  • 3–7 years of experience in investment banking, private equity, or equivalent analytical roles.
  • Expert financial modeling skills with the ability to build from scratch and stress-test assumptions.
  • Strong interest in operations and understanding the technical systems behind financial data.
  • Excellent communication skills for both technical and non-technical stakeholders.
  • Ability to thrive in an ambiguous environment with shifting priorities.
  • Bachelor's degree or equivalent practical experience.

Nice to have

  • Experience in AI/ML, developer platforms, or cloud infrastructure finance.
  • Exposure to data center or semiconductor economics.
  • Working knowledge of GAAP treatment for infrastructure and capitalized software.
  • Proficiency with SQL, Python, BI tools, or NetSuite.

Culture & Benefits

  • Opportunity to work at the forefront of AI infrastructure and low-latency inference.
  • Collaborative environment with world-class engineers and researchers.
  • High-impact role with significant ownership in a fast-growing organization.
  • Commitment to diversity and an inclusive workplace.

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