Warehouse & Materials Manager

Lambda is the #1 GPU Cloud for ML/AI teams training, fine-tuning and inferencing AI models, where engineers can easily, securely and affordably build, test and deploy AI products at scale. Lambda’s product portfolio includes on-prem GPU systems, hosted GPUs across public & private clouds and managed inference services – servicing government, researchers, startups and Enterprises world-wide.If you'd like to build the world's best deep learning cloud, join us. *Note: This position requires presence in our San Jose office location 5 days per week; Lambda’s designated work from home day is currently Tuesday.The Operations team plays a critical role in ensuring the seamless end-to-end execution of our AI-IaaS infrastructure and hardware. This team is responsible for sourcing all necessary infrastructure and components, overseeing day-to-day data center operations to maintain optimal performance and uptime, and driving cross company coordination through product management organization to align operational capabilities with strategic goals. By managing the full lifecycle from procurement to deployment and operational efficiency, the Operations team ensures that our AI-driven infrastructure is reliable, scalable, and aligned with business priorities.Lambda is seeking an experienced and solutions-driven Warehouse & Operations Manager to lead warehouse operations & materials management at our San Jose facility. This role is responsible for overseeing all aspects of material handling, inventory control, and day-to-day warehouse execution. In addition, this individual will play a key role in designing and optimizing warehouse layout and space utilization to support scale, efficiency, and deployment readiness.The ideal candidate brings strong leadership, hands-on experience with warehouse systems and processes, and a continuous improvement mindset in managing high-value hardware and complex material flows.What You’ll DoLead daily warehouse operations including receiving, putaway, picking, staging, shipping, and internal transfersManage accurate handling and movement of high-value materials such as GPUs, servers, and networking componentsDesign and optimize warehouse layout, racking systems, and storage strategies for improved space utilization and efficiencyDevelop and implement warehouse SOPs for material movement, inventory transactions, and physical controlOwn and drive cycle count programs and physical inventory audits in coordination with finance and accountingEnsure timely and accurate ERP transactions (NetSuite preferred) for inventory movement and trackingMaintain a clean, safe, and audit-ready warehouse environment in line with company standardsMonitor and improve warehouse KPIs related to inventory accuracy, order fulfillment, and throughputIdentify and lead continuous improvement projects focused on warehouse process optimization and scalabilityTrain, mentor, and manage warehouse team members to ensure operational excellence and accountabilityYou5+ years of experience in warehouse and materials management, preferably in high-tech or hardware environmentsProven experience in warehouse layout planning, space optimization, and process improvementStrong understanding of inventory control principles, warehouse systems, and ERP software (NetSuite a plus)Excellent organizational, leadership, and cross-functional collaboration skillsAbility to lift up to 50 lbs and operate warehouse equipment (forklift certification preferred)Strong attention to detail and commitment to operational disciplineNice to HaveExperience in data center, electronics, or hardware deployment environmentsFamiliarity with lean warehousing, 5S, or continuous improvement methodologiesExposure to fixed asset tracking and audit support processesSalary Range Information Based on market data and other factors, the annual salary range for this position is $94,000 - $139,000. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.About LambdaFounded in 2012, ~350 employees (2024) and growing fastWe offer generous cash & equity compensationOur investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, US Innovative Technology, Gradient Ventures, Mercato Partners, SVB, 1517, Crescent Cove.We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitabilityOur research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOGHealth, dental, and vision coverage for you and your dependentsWellness and Commuter stipends for select roles401k Plan with 2% company match (USA employees)Flexible Paid Time Off Plan that we all actually useA Final Note:You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.Equal Opportunity EmployerLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

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