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Lambda

Cloud-based GPU services for AI training

Director – Data Center Equipment Category Manager

Procurement & SourcingConfirmed live in the last 24 hours
Full-time$224k - $350k /yr

About the Job

Requirements

  • Have 10+ years in strategic sourcing, procurement, or category management, with at least 5 years focused on datacenter, mission-critical, energy, or heavy industrial electrical and mechanical equipment.
  • Hold a Bachelor's degree in Supply Chain Management, Engineering, Business, Finance, or a related field, or have equivalent experience.
  • Have 5+ years of people leadership managing category managers or sourcing professionals, while staying hands-on in sourcing strategy and negotiations yourself.
  • Have owned multi-year category strategies for high-spend, supply-constrained equipment categories with material cost and continuity-of-supply impact.
  • Know the datacenter equipment supply base, including major OEMs, integrators, and their manufacturing capacity, lead times, and pricing dynamics.
  • Have personally closed large master supply agreements and capacity commitments as a lead negotiator.
  • Have sequenced long-lead equipment against a live construction schedule and worked with design, engineering, and construction teams.
  • Have set process, policy, or governance standards that an organization adopted.
  • Brief and persuade executives internally and across the supplier base, and build business cases that earn decisions.
  • Operate effectively amid ambiguity, compressed timelines, and supply constraints.

Responsibilities

  • Lead and develop a team of category managers across electrical, mechanical, and modular equipment, while personally owning Lambda's most critical categories, sourcing events, and negotiations.
  • Own the multi-year category strategy for datacenter infrastructure equipment, including transformers, MV/LV switchgear, generators, UPS, busway, power distribution, chillers, CDUs, air handling and liquid cooling systems, and prefabricated and modular power and cooling solutions.
  • Secure supply in a constrained market by reserving manufacturing slots, negotiating capacity commitments and framework agreements, and aligning supplier capacity with Lambda's multi-site demand forecast.
  • Lead end-to-end sourcing events (RFI, RFP, RFQ) from specification through supplier selection, award, and contract execution.
  • Serve as Lambda's lead negotiator on high-value equipment agreements, including master supply agreements, pricing, lead times, warranties, liquidated damages, and performance guarantees, partnering with Legal and Finance on terms.
  • Partner with Design, Engineering, Construction, and Development to standardize specifications and basis-of-design across sites, driving volume aggregation and repeatable buys.
  • Sequence equipment awards and deliveries against live construction schedules to protect the critical path, and manage expediting, factory witness testing, logistics, and storage.
  • Own the owner-furnished versus contractor-furnished equipment strategy, including installation, warranty, and commissioning interfaces with general contractors and EPCs.
  • Deliver systematic cost reduction through should-cost and total-cost-of-ownership models, design-to-cost, value engineering, and index-based pricing for commodities such as copper and steel.
  • Build strategic partnerships with OEMs, integrators, and manufacturer representatives, and qualify new and second-source suppliers to reduce concentration risk.
  • Own supplier performance management for quality, on-time delivery, and safety through scorecards, factory audits, and executive business reviews.
  • Identify and mitigate supply chain risks, including lead-time volatility, tariffs, commodity pricing, single-source exposure, and geopolitical disruption, and maintain contingency plans.
  • Set standards for category governance, contract templates, and spend and supplier data that scale with Lambda's growth.
  • Deliver executive-level briefings on category strategy, market conditions, supply risk, and savings performance.

Desired Qualifications

  • Experience at a hyperscaler, AI cloud, colocation provider, or datacenter developer.
  • Experience on the OEM or integrator side, including sales, commercial, or supply chain work at an electrical or mechanical equipment manufacturer.
  • Hands-on experience with prefabricated and modular power or cooling solutions.
  • Experience with high-density AI infrastructure, including liquid cooling and CDUs.
  • Engineering background or technical fluency in electrical distribution and cooling systems.
  • Experience standing up a category management function or team 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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