---
title: 'Project Coordinator, Hardware Partnerships at Gimlet Labs'
canonical: 'https://feeny.ai/job/project-coordinator-hardware-partnerships-gimlet-labs-san-francisco-hejkv5rg583s'
type: 'job'
last_seen: '2026-10-19'
---

# Project Coordinator, Hardware Partnerships at Gimlet Labs

- **Company:** Gimlet Labs
- **Location:** San Francisco, CA
- **Compensation:** $150k–$195k
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-10-12
- **Last confirmed live:** 2026-10-19
- **Apply:** https://jobs.ashbyhq.com/gimlet/f7fb0cae-f7d9-427c-b6a1-aa6686bf5882

## 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 Project Coordinator, Hardware Partnerships, you will be a force multiplier for Gimlet Labs’ Hardware Partnerships team. Gimlet is building a heterogeneous AI cloud, and its hardware relationships span technical evaluations, POCs, commercial negotiations, financing, supply and deployment. You will help the team keep those parallel threads organized and moving. You will work closely with the Hardware Partnerships lead and partnership owners to prepare partner meetings, maintain Notion pages and trackers, capture actions and commitments, and follow through across Engineering, GTM, Supply Chain, Finance, Legal, Infrastructure and PMO. Partnership owners lead strategy and own the overall partner outcome; you make them more effective by keeping information, milestones and dependencies clear. As you build context and judgment, you may take ownership of smaller workstreams directly. Exceptional organization, follow-through, judgment and learning agility matter more than a specific title or years of project-management experience. What success looks like In the first 12-18 months, you will:

- Prepare partner meetings with current context, open items, decisions needed and required inputs so the team can use meeting time effectively
- Capture actions, decisions and commitments with clear owners and deadlines, and follow through until they are resolved
- Keep Notion partnership pages, trackers and project information accurate, current and easy to use across the portfolio
- Track technical evaluations, POCs, commercial workstreams and deployment milestones, keeping progress and upcoming commitments visible
- Coordinate dependencies and deliverables across Engineering, GTM, Supply Chain, Finance, Legal, Infrastructure, PMO and partner teams
- Surface risks, blockers, overdue actions and decisions early, using judgment about what to resolve directly and what to escalate
- Build lightweight status updates and repeatable operating rhythms that reduce the time partnership owners spend reconstructing context and chasing follow-ups
- Take ownership of smaller projects or work streams as your context and capability grow, with clear scope and accountability

You may be a good fit if you have

- Exceptional organization and follow-through, with the ability to manage multiple parallel threads
- High attention to detail while keeping the most important priorities in view
- Strong written and verbal communication, including the ability to turn messy discussions into clear actions and concise updates
- Sound judgment and discretion, including knowing when to act independently and when to escalate
- The ability to adjust quickly as priorities, information and deadlines change
- High agency and a proactive approach to noticing gaps, solving problems and closing the loop
- Learning agility and curiosity, with the ability to build context across technical, commercial and operational topics
- Comfort working across functions and following up persistently and professionally with busy internal and external stakeholders

Strong candidates may also have

- Experience in project or program coordination, team operations or executive support
- Experience maintaining Notion or similar collaboration and project-tracking tools
- Experience in hardware, AI infrastructure, cloud or another technology company
- Experience supporting technical teams or coordinating complex cross-functional projects
- Experience in partner- or customer-facing work, including meeting preparation and tracking external commitments

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
- [Senior Technical Recruiter, Data Center Infrastructure](https://feeny.ai/job/senior-technical-recruiter-data-center-infrastructure-gimlet-labs-san-francisco-3zf71nc0pbxb) — 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
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- [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