FP&A Manager, Infrastructure & Corporate (AI)

Location: San Francisco, CA, United States; on-site

Company

hirify.global is building a multi-silicon neocloud for fast, efficient AI inference by combining large-scale compute infrastructure with an execution platform that maps AI workload stages to suitable hardware.

What you will do

• Manage budgets and forecasts for infrastructure and assigned corporate functions, including headcount, operating expenses, and capital investments.
• Build and maintain models covering GPU and hardware purchases, data center capacity, leases, deployment costs, power, cooling, and ongoing operations.
• Track infrastructure spending and commitments against plan, analyze compute costs and capacity utilization, and identify opportunities to improve margins and resource allocation.
• Partner with Infrastructure and revenue FP&A to translate demand forecasts into capacity and deployment plans.
• Evaluate investment and spending options through scenario analysis, clarifying tradeoffs between cost, capacity, and cash timing.
• Maintain expense and cash forecasts, support planning and reforecasts, partner with Accounting on reporting and capex tracking, and improve recurring planning workflows.

Requirements

• Approximately 5–7+ years of experience in FP&A, strategic finance, or investment banking combined with operating finance.
• Ownership of budgets, forecasts, and performance analysis for operating or corporate functions.
• Experience supporting a business with significant infrastructure, hardware, or other capital investment.
• Strong financial modeling skills and understanding of how capex, deployment timing, depreciation, and operating costs affect profitability and cash flow.
• Experience analyzing spending, headcount, cost drivers, and operational improvement opportunities.
• Strong data analytics skills and attention to detail.
• Experience partnering with technical teams and department leaders to develop realistic operating plans.
• Ability to manage recurring deliverables and independently investigate changes in business performance.

Nice to have

• Experience at a hyperscaler, neocloud, colocation provider, data center developer, or another infrastructure-intensive operator.
• Familiarity with GPU fleet economics, power and cooling costs, and compute capacity planning.
• Experience modeling leases, equipment purchases, or infrastructure deployment commitments.
• Experience with corporate planning, consolidated expense forecasts, and cash forecasting.
• Familiarity with debt covenants and incorporating financing obligations into operating plans.
• Experience implementing planning software, automating reporting, or improving FP&A processes.
• Experience supporting a technology company through rapid growth and significant capital investment.

Culture & Benefits

• Work on production AI infrastructure spanning new hardware, customers, and data centers.
• Solve complex technical and financial problems and own meaningful work.
• Collaborate with Infrastructure, Engineering, Accounting, Strategic Finance, and department leaders.