Procurement & Operations Lead

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This range is provided by Lambda. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$105,000.00/yr - $150,000.00/yr

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 4 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.
What You’ll Do

• Manage material planning and purchasing activities for key AI infrastructure components (Networking equipment).
• Create, release, and manage Purchase Orders (POs) in accordance with sourcing strategies and forecasted demand.
• Track open POs, confirm delivery schedules with suppliers, and proactively expedite or defer orders as needed.
• Monitor inventory levels against forecast, demand changes, and supply lead times to ensure no disruption to build schedules.
• Manage supplier communication related to order acknowledgments, shipment tracking, invoice discrepancies, and day-to-day issues.
• Partner with Sourcing and Engineering teams to ensure material readiness for New Product Introduction (NPI) builds and mass production ramps.
• Update ERP systems (e.g., NetSuite, SAP) with accurate order, receipt, and inventory status.
• Flag material shortages, late shipments, and supply risks early, and work with internal teams to implement corrective actions.
• Support regular reporting on material status, open order health, inventory coverage, and supply chain KPIs.
  

Who You Are

• 5-7+ years of experience in supply chain planning, purchasing, or operations support roles within networking hardware, technology, or manufacturing industries.
• Strong working knowledge of material planning, inventory management, and supplier coordination practices.
• Proficient in ERP systems (e.g., SAP, Oracle, NetSuite) and comfortable managing large volumes of purchase and inventory data.
• Highly organized with excellent attention to detail — you thrive in fast-paced environments where priorities shift quickly.
• Strong problem-solving skills and ability to anticipate supply chain risks before they impact operations.
• Excellent communication skills to interface with suppliers, engineers, and cross-functional teams daily.
• Bachelor’s degree in Supply Chain Management, Business, Operations, or a related field.
  

Nice to Have

• Experience working in AI infrastructure, cloud hardware, or high-performance computing environments.
• Familiarity with hardware lead time dynamics — e.g., GPUs, memory modules, networking switches, chassis builds.
• Exposure to managing materials for projects involving liquid cooling infrastructure in data centers.
• Understanding of Vendor Managed Inventory (VMI) programs or Consignment inventory practices.
• Knowledge of basic cost tracking and invoice reconciliation processes.
• APICS CPIM certification or similar supply chain professional certifications.
  

Salary Range Information
Based on market data and other factors, the annual salary range for this position is $105,000 - $150,000. 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 Lambda

• Founded in 2012, ~400 employees (2025) and growing fast
• We offer generous cash & equity compensation
• Our 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 profitability
• Our research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
• Health, dental, and vision coverage for you and your dependents
• Wellness and Commuter stipends for select roles
• 401k Plan with 2% company match (USA employees)
• Flexible Paid Time Off Plan that we all actually use
  

A 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 Employer
Lambda 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.
Compensation Range: $105K - $150K

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Management and Manufacturing

• Industries

  Software Development

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