Назад
1 день назад

Strategic Finance Lead (AI Compute)

190 000 - 240 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Strategic Finance Lead (AI Compute): Building financial frameworks for GPU capacity planning, compute investments, and token pricing with an accent on infrastructure economics, vendor contracts, and cost optimization. Focus on modeling GPU fleet utilization, analyzing make-versus-buy and in-house inference ROI, and translating serving and training workloads into financial decisions.

Location: San Francisco, hybrid with in-person attendance required 2–3 days per week

Salary: $190,000–$240,000 annually plus equity. USD salary ranges apply only to U.S.-based positions.

Company

AI technology company developing large-scale inference and infrastructure capabilities.

What you will do

  • Lead budgeting, monthly forecasting, variance analysis, and financial planning for GPU compute spend.
  • Build detailed bottom-up financial models covering GPU capacity, cost drivers, investment scenarios, and fleet utilization.
  • Analyze GPU vendor contracts, pricing structures, committed-versus-consumed spend, and optimization opportunities.
  • Own the compute capacity plan and the source of truth for utilization, vendor, cluster, and capacity data.
  • Develop token-cost curves and translate marginal and fully loaded serving costs into internal and external pricing.
  • Partner with inference and infrastructure engineering to evaluate workload scaling, capacity deployment, and in-house inference and training ROI.

Requirements

  • 4+ years of experience in strategic finance, infrastructure investment, private equity, growth equity, consulting, or investment banking.
  • Experience with cloud or GPU infrastructure financial management and major cloud service providers or neoclouds.
  • Direct experience with reserved capacity, savings plans, committed-use discounts, and GPU procurement.
  • Deep expertise in GPU vendor economics, contract structures, pricing models, and chip architecture economics.
  • Background in AI, ML, or high-performance, large-scale computing infrastructure, including data centers and cloud service providers.
  • Strong analytical, problem-solving, financial modeling, communication, and cross-functional collaboration skills.

Culture & Benefits

  • High-impact work at the intersection of finance, AI compute, and infrastructure.
  • Opportunity to build financial frameworks from scratch in a fast-moving environment.
  • U.S. full-time employees receive equity, health, dental, vision, retirement, fitness, commuter, and dependent care benefits.
  • Employees outside the U.S. receive benefits tailored to their region of residence.

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