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Lambda

Cloud-based GPU services for AI training

Senior Logistics Program Manager - Supply Chain Life Cycle Operations

Logistics & TransportationConfirmed live in the last 24 hours
Full-timeSan Jose, CA, USA

About the Job

Requirements

  • At least 8 years of experience in logistics, supply chain, or inventory operations, including at least 3 years managing people and a multi-site vendor network.
  • Experience moving high-value technical equipment such as servers, networking gear, or electronics.
  • Hands-on experience with domestic and international freight, customs, and carrier management.
  • Strong working knowledge of enterprise resource planning (ERP) and inventory systems, as a key user or during a rollout.
  • Ability to build reports in spreadsheets or business intelligence tools and use data to make decisions.
  • Track record of building or scaling logistics processes, teams, and budgets through rapid growth.
  • Bachelor’s degree in supply chain, logistics, business, or a related field, or equivalent experience is preferred.
  • APICS/ASCM (CSCP, CLTD) or similar certification is preferred.

Responsibilities

  • Set end-to-end logistics strategy and network design for new site launches, regions, and capacity ramps, and design forward and reverse logistics workflows for return merchandise authorization (RMA).
  • Support the annual logistics plan and budget forecasting.
  • Lead requirements development, commercial terms, and selection of third-party logistics (3PL) partnerships.
  • Represent logistics in capacity planning and deployment reviews, and make tradeoff decisions among cost, speed, and risk.
  • Select, onboard, and manage carriers, freight forwarders, 3PL providers, and warehouse partners.
  • Set and track service levels for on-time delivery, damage rates, and response times, and run regular business reviews.
  • Serve as an escalation point for delays, damage, and claims, and drive resolution with carriers and suppliers.
  • Collaborate with the Asset Management Team to maintain and improve inventory accuracy for in-transit, staged, and spare hardware across sites and warehouses.
  • Develop asset-tracking processes from receipt through deployment, RMA, and decommissioning, tracking by serial number.
  • Work with Data Center Operations on spares strategy and stocking levels to continuously improve logistics processes.
  • Develop RMA, warranty return, and repair flows with original equipment manufacturers (OEMs) and original design manufacturers (ODMs) to support Supplier Quality Teams.
  • Coordinate decommissioning, secure handling of data-bearing devices, and IT asset disposition (ITAD) or resale shipments while maintaining Asset Management and Compliance Team requirements.
  • Maintain import, export, and customs compliance, including classification and documentation for controlled technology such as advanced GPUs.
  • Partner with brokers and Legal on export controls, duties, and country-specific requirements.
  • Act as key user and process owner for logistics workflows in ERP and inventory systems, and support system rollouts and improvements.
  • Build reporting on lead times, freight cost, on-time delivery, and inventory health.
  • Write and maintain standard operating procedures (SOPs) for receiving, shipping, RMA, and escalation, and standardize them across sites.
  • Partner with Procurement, Supply Chain Planning, Data Center Operations, and Finance on demand forecasts and deployment timelines.
  • Forecast and manage logistics spending against budget, and find cost savings without risking schedules.
  • Flag supply and delivery risks early and drive mitigation plans.

Desired Qualifications

  • Experience supporting data center, hyperscale, or cloud infrastructure buildouts.
  • Familiarity with export controls and trade compliance for advanced computing hardware.
  • Experience with RMA programs, ITAD, and secure handling of data-bearing devices.
  • Background in logistics budgeting, freight cost forecasting, or 3PL contract management.
  • Inventory accuracy, defined as matching system records with physical counts by serial number.
  • Damage and loss rate, defined as the share of shipments with damage, shortage, or loss claims.
  • Freight cost versus budget, defined as actual logistics spending against forecast.
  • RMA cycle time, defined as the days from failure to replacement unit on site.

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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