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Gimlet Labs

Serverless AI inference platform with orchestration

Strategic Hardware Partnerships

Business Development & PartnershipsConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USA$300k - $350k /yrIn-person

About the Job

Requirements

  • A track record of owning complex partnerships or programs and delivering results through hands-on execution.
  • Strong commercial judgment and the ability to develop a negotiating position across economics, financing, capacity, and risk.
  • The ability to lead cross-functional teams and influence senior stakeholders without relying on reporting lines.
  • Enough technical fluency to work effectively with Engineering on silicon, accelerators, AI workloads, and infrastructure tradeoffs.
  • The ability to move between long-term partner strategy and the details of POCs, agreements, supply, and deployment.
  • Practical problem-solving skills and persistent follow-through in a fast-moving environment.
  • Clear written and verbal communication, including the ability to turn complex issues into decisions and commitments.
  • Sound judgment, a strong sense of ownership, and the ability to build trusted relationships while handling sensitive commercial information.

Responsibilities

  • Build and execute strategies for major and emerging silicon and accelerator partners, grounded in workload needs, performance, supply, economics, and scale.
  • Establish trusted relationships with partner executives and working teams, securing roadmap access and clear mutual commitments.
  • Lead cross-functional partner programs with clear owners, decisions, and dependencies across Engineering, GTM, Supply Chain, Finance, Legal, Infrastructure, and PMO.
  • Drive technical evaluations and POCs with Engineering, define success criteria, and translate results into partner and deployment decisions.
  • Develop and negotiate partner-side commercial positions, including pricing, financing structures, capacity commitments, and agreements, with Finance and Legal.
  • Work with GTM to connect partner capabilities to customer demand, offtake, and joint go-to-market opportunities, including three-party programs.
  • Carry partner commitments through hardware supply, deployment, and production scale with Supply Chain and Infrastructure, resolving risks and escalations.
  • Maintain an integrated view of each program’s technical, commercial, and operational progress, and turn decisions into measurable partner outcomes.

Desired Qualifications

  • Experience with established silicon providers, emerging accelerator companies, hardware ecosystems, or AI infrastructure.
  • Experience taking a partner program from evaluation or POC into deployment and production scale.
  • Experience structuring hardware or capacity agreements, financing arrangements, or other complex commercial transactions.
  • Experience connecting hardware partner programs to customer demand, offtake, or joint go-to-market activity.
  • Experience working across hardware supply chains, cloud infrastructure, and technical integration in a growing company.

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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