Director of FP&A

The role

You will build the FP&A function and shape financial decisions for an AI infrastructure business. You will own the consolidated financial model, budgeting, forecasting, and performance analysis.

What you will do

• Lead the end-to-end annual operating plan and budget process.
• Own the consolidated financial model and operating assumptions.
• Establish the financial framework for allocating resources.
• Own the consolidated cash forecast and analysis of runway and net working capital.
• Conduct forward-looking scenario and sensitivity analyses.
• Partner with stakeholders on capacity planning, customer contracts, and leases.
• Partner with GTM on commercial FP&A for revenue planning.
• Partner with Strategic Finance to build and maintain long-range planning.
• Partner with Accounting to establish monthly and quarterly financial reporting.
• Develop KPIs and dashboards and prepare materials for board and investors.

Required qualifications

• Approximately 8–10+ years of experience in FP&A, strategic finance, or investment banking combined with operating finance.
• Demonstrated ownership of consolidated models, budgets, forecasts, and budget-versus-actual analysis.
• Strong modeling skills, including independently developing assumptions, evaluating scenarios, and identifying key business drivers.
• Substantial exposure to data centers or large-scale infrastructure capex, including planning and monitoring major investments.
• An understanding of how hardware capex, deployment costs, power, cooling, and operating expenses affect margins, depreciation, and cash flow.
• Strong data analytics skills and the ability to translate complex information into clear recommendations.
• Experience partnering with technical teams and business leaders and communicating to financial and nonfinancial audiences.

Nice to have

• Experience at a hyperscaler, neocloud, colocation provider, data center developer, or another infrastructure-intensive operator.
• A background in digital infrastructure banking, investing, or project finance, paired with in-house planning experience.
• Familiarity with AI infrastructure revenue models, usage-based forecasting, and inference unit economics.
• Experience building an FP&A function, implementing planning software, and developing a team.
• Experience scaling a technology company through rapid growth and significant capital investment.
• Familiarity with debt covenants and incorporating financing obligations into forecasts.
• Experience preparing board and investor materials and evaluating customer contracts, leases, or strategic transactions.

About the company

Gimlet is building the first multi-silicon neocloud designed for fast, efficient AI inference. They combine large-scale compute infrastructure with an execution platform that partitions AI workloads.