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VESSL AI

GPU cloud platform for AI workloads

Procurement Lead

Procurement & SourcingConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USA$180k - $210k /yr

About the Job

Requirements

  • At least 7 years of experience, including at least 2 years in investment banking or consulting, and hands-on experience in the data center or cloud space.
  • A track record leading data center, colocation, hardware, or financing agreements with significant financial stakes.
  • Ability to translate technical requirements into commercial terms and contract language.
  • Hands-on experience with billing, settlement, and service-level agreement management after signing.
  • Working knowledge of the data center value chain, from power and operations to original equipment manufacturers and capital sources, and judgment to assess partner reliability and risk.
  • Ability to verify claims, underwrite counterparties, and build processes that identify problems before they become contracts.
  • Experience hiring and leading a team, or readiness to build a team from scratch.
  • Ability to work on site in San Francisco.

Responsibilities

  • Lead all US procurement, determining capacity sources, financing, vendor selection, and deployment timing.
  • Map the US data center value chain, including energy and power, data center developers and operators, original equipment manufacturers and hardware partners, and capital backers.
  • Source new capacity and onboard supply partners.
  • Verify offered capacity and delivery timelines before negotiation.
  • Build relationships to gain early access to capacity before it reaches the open market.
  • Own US capacity milestones, ensuring the right GPUs are available at the right sites and on schedule for customer and roadmap needs.
  • Design and conduct vendor due diligence covering financial health, ownership and capital structure, hardware provenance, operational track record, and contract risk.
  • Conduct technical due diligence with Engineering on cluster specifications, networking, and storage.
  • Set and enforce the reliability qualification bar for data center partners, beginning with Tier III standards for power, cooling, redundancy, and network.
  • Set proof-of-concept scope and acceptance criteria before commitments.
  • Build a repeatable procurement playbook so every deal meets consistent standards.
  • Structure funding for each capacity commitment and model unit economics before signing.
  • Build relationships with financial partners and negotiate financing terms alongside the Chief Strategy Officer.
  • Partner with Finance to turn available capital into a deployable compute plan.
  • Structure deal funding terms to balance delivery speed and cash exposure.
  • Define deal requirements, including GPU model, node count, networking, and storage.
  • Issue requests for information, compare quotes, and select partners.
  • Negotiate commercial terms, including pricing, contract term, payment structure, and risk allocation.
  • Negotiate and execute master service agreements, service-level agreements, and order forms, and handle know-your-customer processes with headquarters Legal and Finance.
  • Agree on delivery schedules and milestones with each partner.
  • Track progress and manage delivery, cutover, and acceptance testing.
  • Verify monthly invoices and settle payments.
  • Monitor service-level agreements and claim credits when partners fall short.
  • Negotiate renewals and expansions.
  • Own a unified view of the US capital and compute pipelines, tracking opportunities from sourcing through diligence, negotiation, financing, contracting, and live operation.
  • Partner with US sales to match supply and demand, translating demand signals into sourcing priorities and securing supply ahead of relevant deals.
  • Report US capacity, pipeline, and capital status to headquarters and leadership weekly and monthly, surfacing risks while they can still be addressed.
  • Align with the global supply team on shared standards, supplier coverage, and capacity planning.

Desired Qualifications

  • Hands-on experience negotiating master service agreements, service-level agreements, and data processing agreements.
  • Hands-on experience in data center operations, deployment, or colocation, including power, cooling, rack density, and GPU networking.
  • Understanding of NVIDIA GPU systems such as HGX and GB200 NVL72, their configurations, and build lead times.
  • Experience designing benchmark and acceptance test criteria.
  • An existing network across the compute and data center ecosystem.
  • Fluency in infrastructure finance, including how capital flows into infrastructure assets, how it is underwritten, and how financing terms shape unit economics.
  • Use of AI tools such as Claude to increase output, model scenarios, and conduct diligence faster.

About the Company

VESSL AI

GPU cloud platform for AI workloads

What VESSL AI does: It runs VESSL Cloud, a GPU cloud platform built for AI workloads. It gives teams on-demand access to high-end GPUs (A100, H100, B200, B300, GB200) to run activities like LLM fine-tuning, large-scale model training, and AI inference. How it works: Users launch GPU instances in VESSL Cloud from VESSL’s own data center infrastructure, paying per minute for usage, and using the platform to accelerate AI development without managing physical hardware. How it stands out: It operates its own data center and offers per-minute billing, delivering up to 80% cost savings versus AWS and GCP, focusing specifically on AI workloads rather than general-purpose cloud services. What the goal is: To help AI teams move quickly from idea to production by removing infrastructure overhead and providing scalable, affordable GPU resources for AI work.

Company size
51-200
Company stage
Series A
Total funding
$16.6M
Headquarters
San Francisco, CA
Founded
2020

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