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Lambda

Cloud-based GPU services for AI training

Director – Data Center Contracts & Commercial Strategy

Procurement & SourcingConfirmed live in the last 24 hours
Full-time$227k - $336k /yr

About the Job

Requirements

  • Have 10 or more years of experience in data center or complex infrastructure contracting, commercial real estate or capacity leasing, strategic sourcing, or procurement.
  • Hold a Bachelor's degree in Business, Finance, Real Estate, Supply Chain Management, Engineering, or a related field, or have equivalent experience.
  • Have personally closed large, complex agreements, typically valued at $100 million or more, as a lead negotiator.
  • Have negotiated data center leases or colocation agreements and understand how landlords and providers price, structure, and deliver capacity, or have negotiated construction, design, or equipment contracts and understand delivery models such as general contractor, engineering, procurement and construction, engineering, procurement and construction management, and design-build, as well as cost types such as lump sum, guaranteed maximum price, and cost-plus.
  • Understand the data center lifecycle, including land, power and utility, design, equipment, construction, and commissioning, and how each affects deliverability.
  • Have managed contracts after signature, including renewals, amendments, change orders, claims, and closeout.
  • Have set process, policy, or governance standards adopted by an organization.
  • Be able to brief and persuade executives and build a business case to support decisions.
  • Be able to operate amid ambiguity and compressed timelines while managing parallel deals in a supply-constrained market.

Responsibilities

  • Own the contracting and commercial strategy for securing data center capacity, from leased and colocation sites to owned greenfield builds as the portfolio grows.
  • Serve as the lead negotiator on high-value capacity agreements, including leases, colocation and service agreements, master agreements, design, equipment, and construction contracts; set negotiation strategy and partner with Legal and Finance on terms.
  • Lead lease and colocation negotiations with landlords, providers, and developers from letters of intent through definitive agreements and service orders, balancing rent, power pricing, delivery dates, expansion rights, and performance obligations.
  • Manage the existing lease portfolio, including renewals, expansions, amendments, restructurings, exits, and landlord performance, and keep obligations, milestones, and critical dates current.
  • Protect delivery schedules through ready-for-service dates, delay credits, step-in rights, milestones, and service-level agreements, and hold landlords, suppliers, and contractors accountable for performance.
  • Build the contracting strategy for owned capacity, including design firms and Engineers of Record, long-lead equipment sourcing, and general contractor, engineering-procurement-construction, or engineering-procurement-construction-management delivery models and cost types such as lump sum, guaranteed maximum price, and cost-plus.
  • Run competitive bids and requests for proposals, evaluate proposals, and recommend awards across leases, equipment, and construction.
  • Negotiate and execute master agreements with key providers, original equipment manufacturers, design firms, and contractors to secure capacity and favorable terms across sites.
  • Drive change-order, claims, and dispute discipline alongside Construction, Legal, and Finance.
  • Set standards for contract execution, including term sheets, negotiation guardrails, templates, contract abstraction, approval workflows, and governance, to support scale.
  • Partner across Data Center Development, Construction, Design, Capacity Planning, Finance, Legal, and Operations, and deliver executive-level briefings on deal strategy, risks, and contingency plans.

Desired Qualifications

  • Have experience securing capacity for hyperscalers, AI clouds, or large graphics processing unit/high-performance computing deployments.
  • Have experience on the landlord, developer, colocation provider, or contractor side.
  • Have experience with complex construction programs such as semiconductor, oil and gas, or energy projects.
  • Have experience establishing a contracts or sourcing function where little existed.

About the Company

Lambda

Cloud-based GPU services for AI training

Lambda Labs provides cloud-based GPU services for AI training and inference via its AI Developer Cloud, powered by NVIDIA GH200 Grace Hopper hardware to efficiently train large language models and generative AI. Customers access on-demand or reserved GPUs and are billed by the hour (for example, NVIDIA H100 at about $1.99/hour); it also offers Lambda Echelon, where clients own infrastructure but pay a monthly hosting and support fee, and Lambda Stack, a software suite that helps ML teams install and upgrade tools like PyTorch, TensorFlow, CUDA, cuDNN, and NVIDIA drivers. The company differentiates itself through competitive pricing, available high-end hardware, and an integrated ML software stack that streamlines workflows. Its goal is to enable scalable, affordable AI development and deployment by providing flexible GPU access, reliable hosting, and easy software deployment for teams working with large models.

Company size
501-1,000
Company stage
Late Stage VC
Total funding
$9.1B
Headquarters
San Jose, CA
Founded
2012

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