---
title: 'Senior Technical Recruiter, Data Center Infrastructure at Gimlet Labs'
canonical: 'https://feeny.ai/job/senior-technical-recruiter-data-center-infrastructure-gimlet-labs-san-francisco-3zf71nc0pbxb'
type: 'job'
last_seen: '2026-10-19'
---

# Senior Technical Recruiter, Data Center Infrastructure at Gimlet Labs

- **Company:** Gimlet Labs
- **Location:** San Francisco, CA
- **Compensation:** $180k–$250k
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-10-13
- **Last confirmed live:** 2026-10-19
- **Apply:** https://jobs.ashbyhq.com/gimlet/17555b19-7435-4466-8792-6d6d0d2430d5

## 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

Gimlet Labs is hiring a Senior Technical Recruiter to help build the teams responsible for expanding and operating our next generation of AI data centers. As demand for AI compute accelerates, securing power, delivering capacity, and operating reliable infrastructure at scale are increasingly critical challenges. We're building the teams that turn ambitious infrastructure plans into operational data centers, from site sourcing and capacity development to engineering, deployment, and ongoing operations. You will partner directly with infrastructure and operations leadership to identify exceptional talent across highly specialized disciplines, develop creative sourcing strategies, and build relationships with the people who know how to deliver complex infrastructure at scale. We are looking for someone who loves the craft of recruiting, understands the value of deep industry relationships, and is excited to help build the physical infrastructure powering the next generation of AI. What success looks like In your first 6–12 months, you will:

- Build exceptional infrastructure teams. Identify, engage, and close talent across data center operations, critical facilities, site sourcing, capacity delivery, infrastructure engineering, and technical operations.
- Become a trusted partner to infrastructure leadership. Understand our expansion priorities, technical requirements, and operational challenges to help hiring managers make informed decisions about talent and hiring strategy.
- Build differentiated talent pipelines. Map relevant companies, data center operators, hyperscalers, and infrastructure teams to identify and engage exceptional candidates in competitive and geographically distributed markets.
- Own searches from start to finish. Drive recruiting processes across both specialized leadership positions and high-priority operational roles, from initial sourcing through offer acceptance.
- Support hiring across multiple locations. Develop recruiting strategies tailored to the regional labor markets surrounding our current and future data center sites.
- Help scale the Talent Acquisition function. Improve sourcing strategies, hiring workflows, and candidate experience as Gimlet expands its infrastructure footprint.

You may be a good fit if you have

- 5+ years of recruiting experience, with a track record of hiring technical, infrastructure, or operations talent in competitive markets.
- Experience recruiting across data center operations, critical facilities, infrastructure engineering, construction, site development, capacity delivery, or related disciplines.
- Strong sourcing skills, with demonstrated success identifying, engaging, and closing both specialized professionals and operational talent.
- An understanding of the data center ecosystem and the companies, teams, and technical backgrounds relevant to large-scale infrastructure development.
- Strong judgment and the ability to partner closely with infrastructure and operations leaders on hiring priorities, candidate evaluation, and market dynamics.
- High ownership and the ability to independently manage multiple searches across different functions, seniority levels, and geographic markets.

Strong candidates may also have

- Direct recruiting experience at hyperscalers, neocloud providers, colocation companies, or large-scale data center operators.
- Experience hiring data center technicians, critical facilities engineers, site sourcing professionals, construction managers, or infrastructure operations leaders.
- Established relationships within data center, power, construction, or infrastructure development communities.
- Experience scaling teams across multiple data center locations or supporting rapid infrastructure expansion at a high-growth company.

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

- [Data Center Architect](https://feeny.ai/job/data-center-architect-gimlet-labs-san-francisco-r8yafpasxbwr) — San Francisco, CA
- [Strategic Hardware Partnerships](https://feeny.ai/job/strategic-hardware-partnerships-gimlet-labs-san-francisco-jejbz21kqgaq) — San Francisco, CA
- [Project Coordinator, Hardware Partnerships](https://feeny.ai/job/project-coordinator-hardware-partnerships-gimlet-labs-san-francisco-hejkv5rg583s) — San Francisco, CA
- [Director of FP&A](https://feeny.ai/job/director-of-fp-a-gimlet-labs-san-francisco-psy3hbxwgse0) — San Francisco, CA
- [Corporate Controller](https://feeny.ai/job/corporate-controller-gimlet-labs-san-francisco-6mfgwjj1xtkr) — San Francisco, CA
- [Executive Business Partner](https://feeny.ai/job/executive-business-partner-gimlet-labs-san-francisco-5z7qmxc97ejn) — San Francisco, CA
- [Data Center Facilities Operations Lead](https://feeny.ai/job/data-center-facilities-operations-lead-gimlet-labs-san-francisco-btk5mb65ej0p) — San Francisco, CA
- [Member of Technical Staff - Infrastructure](https://feeny.ai/job/member-of-technical-staff-infrastructure-gimlet-labs-san-francisco-qcnrg15q2g6j) — San Francisco, CA
- [Member of Security Staff, Governance, Risk and Compliance](https://feeny.ai/job/member-of-security-staff-governance-risk-and-compliance-gimlet-labs-san-kd7qf2nv1ktq) — San Francisco, CA
- [Network Engineer](https://feeny.ai/job/network-engineer-gimlet-labs-san-francisco-cv8srbgaka6c) — San Francisco, CA