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Gimlet Labs

Serverless AI inference platform with orchestration

Director of FP&A

Corporate Finance & FP&AConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USA$275k - $300k /yrIn-person

About the Job

Requirements

  • 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 financial modeling skills, including independently developing assumptions, evaluating scenarios, and identifying key business drivers.
  • Substantial exposure to data centers or large-scale infrastructure capital expenditure, including planning and monitoring major investments.
  • Understanding of how hardware capital expenditure, deployment costs, power, cooling, and operating expenses affect 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 to financial and nonfinancial audiences.

Responsibilities

  • Build Gimlet’s FP&A function and help shape financial decisions behind the company’s growth.
  • Own the consolidated financial model, budgeting, forecasting, and performance analysis.
  • Lead the 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, integrate inputs from Strategic Finance and other teams, and develop accurate, data-driven projections and guidance with clear visibility into business unit economics.
  • Establish the financial framework for allocating resources across headcount, spending, and capacity.
  • Own the consolidated cash forecast and analyze 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 actionable recommendations.
  • Partner with stakeholders on capacity planning, customer contracts, leases, and 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 measuring 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.

Desired Qualifications

  • Experience at a hyperscaler, neocloud, colocation provider, data center developer, or another infrastructure-intensive operator.
  • 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 Labs

Serverless AI inference platform with orchestration

Gimlet Labs builds an inference cloud platform that runs and manages complex AI agent workloads across heterogeneous hardware, including GPUs and other accelerators. Its software splits AI tasks and routes each part to the most suitable hardware to improve speed while keeping cost and power use the same. The Gimlet Cloud offers serverless inference for building and scaling multi-agent systems, with the platform handling scheduling and hardware-aware optimization, and it can be deployed in the cloud or in customers’ data centers. It is developing kforge, a toolkit that uses AI agents to automatically generate optimized PyTorch kernels for CUDA, ROCm, and Metal. The goal is to make AI inference a practical, scalable infrastructure problem by coordinating diverse compute to improve performance and efficiency for enterprise workloads.

Company size
51-200
Company stage
Series B
Total funding
$392M
Headquarters
San Francisco, CA
Founded
2023

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