---
title: 'Director of FP&A at Gimlet Labs'
canonical: 'https://feeny.ai/job/director-of-fp-a-gimlet-labs-san-francisco-psy3hbxwgse0'
type: 'job'
last_seen: '2026-10-19'
---

# Director of FP&A at Gimlet Labs

- **Company:** Gimlet Labs
- **Location:** San Francisco, CA
- **Compensation:** $275k–$300k
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-10-01
- **Last confirmed live:** 2026-10-19
- **Apply:** https://jobs.ashbyhq.com/gimlet/74cb8e21-987a-40d5-977d-b8ce7f46f753

## Job description

## 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.

## About Gimlet Labs

## Company Overview
- **One-liner**: Gimlet Labs is an applied research lab building next-generation AI infrastructure, specifically a multi-silicon inference cloud that optimizes and orchestrates AI agent workloads across diverse hardware.
- **Entity Type**: Private (Series A)
- **Headquarters**: San Francisco, California, United States
- **Founded**: Not publicly available
- **Founders**: Zain Asgar (CEO), Michelle Nguyen, Natalie Serrino, Omid Azizi

## Core Business
- **Primary industry**: AI Infrastructure / Software Development
- **Target customers**: Large AI model labs, data centers, and enterprises running complex AI agent workloads (B2B, Enterprise).
- **Mission or purpose statement**: To build next-generation AI infrastructure that makes AI workloads 10x more efficient by intelligently orchestrating them across diverse hardware.

## Products & Services
- **Gimlet Cloud**: A serverless inference platform for AI agents. It allows users to run everything from simple agents to complex multi-agent systems with custom logic and data sources. The platform handles scheduling, orchestration, and optimization across diverse hardware. [gimletlabs.ai](https://gimletlabs.ai/)
- **kforge**: An autonomous kernel generation tool that creates optimized low-level kernels directly from PyTorch. It uses a multi-agent system to explore designs, enforce correctness, and identify the fastest kernels for backends like CUDA, ROCm, and Metal. [gimletlabs.ai](https://gimletlabs.ai/)
- **Multi-Silicon Inference Cloud**: A software layer that allows AI workloads to be simultaneously run across diverse types of hardware (CPUs, GPUs, high-memory systems), splitting work to use the best chip for each portion of the model. [techcrunch.com](https://techcrunch.com/2026/03/23/startup-gimlet-labs-is-solving-the-ai-inference-bottleneck-in-a-surprisingly-elegant-way/)

## Market Standing
- **Valuation/Market Cap**: Not disclosed
- **Key Metric**: Total Funding of $92M (Seed: $12M led by Factory; Series A: $80M led by Menlo Ventures). The company publicly launched with eight-figure revenues (at least $10M). [techcrunch.com](https://techcrunch.com/2026/03/23/startup-gimlet-labs-is-solving-the-ai-inference-bottleneck-in-a-surprisingly-elegant-way/)
- **Notable Investors/Partners**: Menlo Ventures (Series A lead), Factory (Seed lead), Eclipse Ventures, Prosperity7, Triatomic. Angel investors include Sequoia’s Bill Coughran, Stanford Professor Nick McKeown, former VMware CEO Raghu Raghuram, and Intel CEO Lip-Bu Tan. Chip partners include NVIDIA, AMD, Intel, ARM, Cerebras, and d-Matrix. [techcrunch.com](https://techcrunch.com/2026/03/23/startup-gimlet-labs-is-solving-the-ai-inference-bottleneck-in-a-surprisingly-elegant-way/)
- **Growth Signals**: The company publicly launched with eight-figure revenues (at least $10M). Customer base has more than doubled in the last four months, including a major model maker and a large cloud computing company. Headcount has grown 966.7% year-over-year to 25-30 employees. [techcrunch.com](https://techcrunch.com/2026/03/23/startup-gimlet-labs-is-solving-the-ai-inference-bottleneck-in-a-surprisingly-elegant-way/) [linkedin.com](https://www.linkedin.com/company/gimletlabs)

## Competitive Advantages
- **Multi-Silicon Orchestration**: The only platform that can simultaneously run AI workloads across diverse hardware (CPUs, GPUs, high-memory systems), splitting models to use the best chip for each portion. This claims to improve inference speed by 3x-10x for the same cost and power. [techcrunch.com](https://techcrunch.com/2026/03/23/startup-gimlet-labs-is-solving-the-ai-inference-bottleneck-in-a-surprisingly-elegant-way/)
- **Autonomous Kernel Generation (kforge)**: Uses AI agents to automatically generate optimized low-level kernels from PyTorch, supporting CUDA, ROCm, and Metal without manual coding. [gimletlabs.ai](https://gimletlabs.ai/)
- **Deep Research Focus**: As an applied research lab, they are working on cutting-edge problems like universal AI compilers, SLA-aware scheduling, and headless hardware architectures, giving them a long-term technological moat. [gimletlabs.ai](https://gimletlabs.ai/)
- **Strong Founding Team**: Founders have deep expertise in systems and infrastructure, with a prior successful exit (Pixie Labs acquired by New Relic). [techcrunch.com](https://techcrunch.com/2026/03/23/startup-gimlet-labs-is-solving-the-ai-inference-bottleneck-in-a-surprisingly-elegant-way/)

## Strategic Focus
- **Productizing Research**: Translating cutting-edge research (universal AI compilers, autonomous kernel generation) into commercial products like Gimlet Cloud and kforge. [gimletlabs.ai](https://gimletlabs.ai/)
- **Scaling the Multi-Silicon Cloud**: Expanding their inference cloud to serve the largest AI model labs and data centers, with a focus on efficiency and cost reduction. [techcrunch.com](https://techcrunch.com/2026/03/23/startup-gimlet-labs-is-solving-the-ai-inference-bottleneck-in-a-surprisingly-elegant-way/)
- **Talent Acquisition**: Aggressively hiring across AI research, kernel/GPU performance, compilers, distributed systems, and business operations to support rapid growth. [jobs.ashbyhq.com](https://jobs.ashbyhq.com/gimlet)

## Why Work Here
- **Cutting-Edge Research & Engineering**: Work on fundamental AI infrastructure problems—autonomous kernel generation, universal AI compilers, and multi-silicon orchestration—alongside PhD-level researchers and top-tier engineers. [gimletlabs.ai](https://gimletlabs.ai/join_us)
- **High-Growth Environment**: The company has grown nearly 10x in headcount over the past year and is backed by top-tier VCs (Menlo Ventures, Sequoia angels). This is an early-stage opportunity with significant impact. [linkedin.com](https://www.linkedin.com/company/gimletlabs)
- **Fast-Moving Team**: Described as a "fast moving team with both AI research and industry expertise," looking for "builders" who love rapid prototyping. [gimletlabs.ai](https://gimletlabs.ai/join_us)
- **Location**: Based in San Francisco, California. The office is at 255 Potrero Ave. [linkedin.com](https://www.linkedin.com/company/gimletlabs)
- **Culture**: The company values researchers, builders, and strategists. The team includes alumni from Pixie Labs, Amazon, Google, AMD, Intel, and Groq. [linkedin.com](https://www.linkedin.com/company/gimletlabs)

## Sources
1. [gimletlabs.ai](https://gimletlabs.ai/)
2. [gimletlabs.ai/join_us](https://gimletlabs.ai/join_us)
3. [jobs.ashbyhq.com](https://jobs.ashbyhq.com/gimlet)
4. [linkedin.com](https://www.linkedin.com/company/gimletlabs)
5. [techcrunch.com](https://techcrunch.com/2026/03/23/startup-gimlet-labs-is-solving-the-ai-inference-bottleneck-in-a-surprisingly-elegant-way/)

## Other roles at Gimlet Labs

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- [Corporate Controller](https://feeny.ai/job/corporate-controller-gimlet-labs-san-francisco-6mfgwjj1xtkr) — San Francisco, CA
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