Commodity Sourcing Manager – AI Infrastructure

San Jose Office (Zanker) · Remotefull timeRemotesenior$203k–$271kH1B: yes

Lambda Commodity Sourcing Manager at Lambda owns sourcing strategy, supplier negotiations, and supply assurance for critical commodities in AI Data Center Supply Chain. The role involves managing end-to-end commercial and sourcing relationships across hardware categories such as custom silicon, GPUs/CPUs, network hardware, and power/cooling infrastructure.

Responsibilities

We are seeking an experienced Commodity Sourcing Manager to own sourcing strategy, supplier negotiations, and supply assurance for critical commodities across our rapidly growing AI Data Center Supply Chain.
This individual contributor role owns the end-to-end commercial and sourcing relationship for a defined commodity or set of commodities within the AI compute ecosystem — spanning categories such as custom silicon, GPUs/CPUs, network hardware, power and cooling infrastructure (CDUs, PDUs, racks), and memory/storage. Commodity assignments will flex based on business need, and the ideal candidate is a versatile sourcing professional capable of ramping quickly across the full range of hardware that goes into a GPU rack, rather than a specialist in a single technology domain.
Commodity Sourcing Strategy
Own and execute sourcing strategy for assigned commodities within the AI infrastructure stack, which may include custom silicon, GPUs/CPUs, network hardware, power/cooling infrastructure, memory/storage, or other hardware categories that go into a GPU rack.
Develop category strategies aligned to roadmap requirements, capacity forecasts, and long-term infrastructure growth, regardless of the specific technology domain.
Identify and drive supply diversification, second-source development, and risk mitigation plans for constrained or fast-scaling categories.

Qualification

Bachelor's degree in EngineeringWe Are Looking for Someone Who Is

Preferred

Experience sourcing across multiple commodity types within AI/ML or hyperscale data center infrastructure (e.g., silicon, networking, power/cooling, memory/storage).
Demonstrated versatility moving between commodity domains over the course of a career, rather than deep specialization in a single technology.
Experience supporting hyperscale data center or AI infrastructure programs.
Background partnering with hardware/systems engineering teams on NRE, qualification, or co-development agreements.
Bachelor's degree in Engineering, Supply Chain, Business, or related field; advanced degree a plus.
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