Director of FP&A

Posted 4 Hours Ago
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San Francisco, CA, USA
In-Office
275K-300K Annually
Expert/Leader
Artificial Intelligence • Cloud • Software
The Role
Build and lead Gimlet’s FP&A function, owning financial models, budgeting, forecasting, cash planning, scenario analysis, KPIs, and performance reporting. Partner with executives, Strategic Finance, Infrastructure, GTM, Accounting, and technical teams on resource allocation, infrastructure investment, commercial planning, and business decisions. Establish scalable tools and processes, support board and investor reporting, and develop a high-performing FP&A team for a rapidly growing AI infrastructure company.
Summary Generated by Built In

About us

Gimlet is building the first multi-silicon neocloud designed for fast, efficient AI inference.

We combine large-scale compute infrastructure with an execution platform that partitions AI workloads and maps each stage to the hardware best suited to run it.

We work with foundation labs, hyperscalers, and AI-native companies, giving our team access to technical problems spanning frontier models, production infrastructure, and emerging hardware.

About the role

As Director of FP&A, you will build Gimlet’s FP&A function and help shape the financial decisions behind our growth. You will own the consolidated financial model, budgeting, forecasting, and performance analysis for a rapidly scaling AI infrastructure business. Cash burn, liquidity, runway, and the economics of deploying compute will be central to your work.

You will partner with executive leadership, Strategic Finance, Infrastructure, and GTM to translate company strategy into operating plans and capital allocation decisions. You will build models that connect customer demand, infrastructure investment, and operating costs, giving leadership clear visibility into the assumptions, risks, and tradeoffs behind each plan.

This is a hands-on leadership role for someone who combines strong financial modeling with business judgment and data fluency. You will establish the tools, processes, and team needed to support Gimlet’s next stage of growth.

What success looks like

In the first 12–18 months, you will:

  • Lead the end-to-end annual operating plan and budget process, including periodic reforecasts. Track performance against plan, identify risks and opportunities, and partner with department heads to optimize costs and translate financial insights into operational decisions.

  • Own the consolidated financial model and operating assumptions, with clear visibility into business unit economics. Integrate inputs from Strategic Finance and other teams to develop accurate, data-driven projections and guidance.

  • Establish the financial framework for allocating resources across headcount, spending, and capacity.

  • Own the consolidated cash forecast and analysis of runway and net working capital, including operating cash flow scenarios and sensitivities.

  • Conduct forward-looking scenario and sensitivity analyses and historical variance analyses, translating findings into clear, actionable recommendations.

  • Partner with key stakeholders on capacity planning, customer contracts, leases, and other strategic projects. Build dynamic, well-structured models with stress-tested assumptions, clear outputs, and documented logic.

  • Partner with GTM on commercial FP&A, providing projections and analysis to inform revenue planning and commercial decisions.

  • Partner with Strategic Finance to build and maintain long-range planning, incorporating growth scenarios, financial targets, and the impact of strategic initiatives.

  • Partner with Accounting to establish timely, high-quality monthly and quarterly financial reporting.

  • Develop and refine KPIs and regularly updated dashboards that measure financial and operational performance. Report to executive leadership and prepare analysis and narratives for board and investor materials.

  • Build and lead a high-performing FP&A team, continuously improving tools, models, and processes as the company scales.

You may be a good fit if you have
  • 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.

Strong candidates may also 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.

Why join now?

Gimlet is expanding from its core technology into a production neocloud spanning new hardware, customers, and data centers.

  • Solve hard problems.

  • Own meaningful work.

  • Build for production.

  • Help define what’s next.

Agency Policy: Gimlet Labs does not accept unsolicited resumes from recruitment agencies or search firms. Any unsolicited resumes submitted without a signed agreement will be considered the property of Gimlet Labs, and no fees will be paid.

Skills Required

  • Approximately 8–10+ years of experience in FP&A, strategic finance, investment banking, or operating finance.
  • Experience owning consolidated financial models, budgets, forecasts, and budget-versus-actual analysis.
  • Strong financial modeling skills, including developing assumptions, evaluating scenarios, and identifying business drivers.
  • Substantial exposure to data centers or large-scale infrastructure capital expenditure planning and monitoring.
  • Understanding of hardware capital expenditure, deployment costs, power, cooling, operating expenses, margins, depreciation, and cash flow.
  • Strong data analytics skills and ability to translate complex information into clear recommendations.
  • Experience partnering with technical teams and business leaders and communicating with financial and nonfinancial audiences.
  • Experience at a hyperscaler, neocloud, colocation provider, data center developer, or infrastructure-intensive operator.
  • Background in digital infrastructure banking, investing, or project finance combined 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.
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The Company
34 Employees
Year Founded: 2023

What We Do

Gimlet Labs builds an AI inference cloud and software stack that routes and orchestrates agent workloads across heterogeneous processors, including GPUs, CPUs, and other architectures. Its technology can divide a model's execution among different chips, improving inference speed, throughput, and efficiency. The company combines applied AI research with managed multi-silicon data centers and software customers can deploy in their own facilities, aiming to expand compute available for AI.

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