Technical Sourcing Manager at Lambda

San Jose, California, United States

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$130,000 – $187,000Compensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

AI, Cloud Computing, HardwareIndustries

Requirements

Bachelor’s degree in Supply Chain, Engineering, Business, or related field
10+ years of supply chain experience in data center, cloud, compute, networking, and/or AI hardware
Proven experience working with server, networking, storage, and/or data center technology vendors and OEMs
Strong technical literacy — comfortable collaborating with engineers on component specifications, product architectures, and build materials (BOMs)
Exceptional negotiation and relationship management skills; capable of influencing internal and external stakeholders
Direct experience managing OEMs, ODMs, and JDM suppliers and communicating with senior leadership
Deep understanding of cost structures, value chain analysis, and total cost of ownership (TCO) modeling
Experience in structuring, negotiating, and executing contracts (MSAs, MPAs, and SOWs) and complex agreements
Proficiency with supply chain management tools (e.g., ERP systems like NetSuite, SAP, Oracle)
Sound interpersonal and communication skills, including presenting strategic decisions to the executive team
Nice to Have: Experience sourcing hardware for AI/ML infrastructure deployments (e.g., H100, B200 clusters)
Nice to Have: Familiarity with sourcing and integration of liquid cooling infrastructure for high-density AI data centers
Nice to Have: Prior work with tier-1 hyperscale cloud providers or AI infrastructure

Responsibilities

Partner in leading the sourcing strategy for AI infrastructure components, including vendor sourcing for new products & technologies
Seek out, establish, new vendors for key infrastructure components, technically vetting new vendor’s capabilities
Develop category sourcing strategies to ensure suppliers are capable of meeting Lambda’s current and future technical and business requirements
Build deep supplier engagement programs to secure critical allocations during constrained market conditions
Establish the supplier selection process, evaluate alternate suppliers, drive the RFI/RFQ/RFP process, to improve the TCO and quality
Negotiate with suppliers and partners to establish best in class pricing, quality, delivery, payment, and service terms. Develop benchmarks and should cost models
Build an end to end OEM/ODM strategy to support Lambda’s growing cloud hardware scale
Establish and manage strategic supplier and commercial relationships with our key partners at the executive level. Influence supplier’s business models, roadmaps, and support models
Partner closely with Engineering, Data Center Operations, and Finance teams to align supplier capabilities with technical roadmaps and scaling needs
Manage contractual agreements including master supply agreements, statements of work, and service level agreements
Develop a supplier management framework, including QBRs, scorecards, and supplier performance (SLAs)
Monitor market dynamics (pricing, availability, emerging technologies) and advise on sourcing risk management strategies

Skills

Vendor Sourcing

Strategic Sourcing

RFI

RFQ

RFP

Supplier Negotiation

OEM

ODM

TCO Analysis

Supply Chain Management

Technical Vetting

Lambda

Cloud-based GPU services for AI training

About Lambda

Lambda Labs provides cloud-based services for artificial intelligence (AI) training and inference, focusing on large language models and generative AI. Their main product, the AI Developer Cloud, utilizes NVIDIA's GH200 Grace Hopper™ Superchip to deliver efficient and cost-effective GPU resources. Customers can access on-demand and reserved cloud GPUs, which are essential for processing large datasets quickly, with pricing starting at $1.99 per hour for NVIDIA H100 instances. Lambda Labs serves AI developers and companies needing extensive GPU deployments, offering competitive pricing and infrastructure ownership options through their Lambda Echelon service. Additionally, they provide Lambda Stack, a software solution that simplifies the installation and management of AI-related tools for over 50,000 machine learning teams. The goal of Lambda Labs is to support AI development by providing accessible and efficient cloud GPU services.

San Jose, CaliforniaHeadquarters

2012Year Founded

$372.6MTotal Funding

DEBTCompany Stage

AI & Machine LearningIndustries

201-500Employees

Risks

Nebius' holistic cloud platform challenges Lambda's market share in AI infrastructure.

AWS's 896-core instance may draw customers seeking high-performance cloud solutions.

Existential crisis in Hermes 3 model raises concerns about Lambda's AI model reliability.

Differentiation

Lambda offers cost-effective Inference API for AI model deployment without infrastructure maintenance.

Nvidia HGX H100 and Quantum-2 InfiniBand Clusters enhance Lambda's AI model training capabilities.

Lambda's Hermes 3 collaboration showcases advanced AI model development expertise.

Upsides

Inference API launch attracts enterprises seeking low-cost AI deployment solutions.

Nvidia HGX H100 clusters provide competitive edge in high-performance AI computing.

Strong AI cloud service growth indicates rising demand for Lambda's GPU offerings.

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