[Remote] Data Center Business Operations & Supplier Management Manager at Lambda

United States

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Not SpecifiedCompensation

N/AExperience Level

N/AJob Type

Not SpecifiedVisa

N/AIndustries

Requirements

Proven experience managing supplier management teams, vendor relationships, or in Data Center operations
Strong leadership skills with the ability to mentor, motivate, and grow a team of SAMs
Deep understanding of contracts, including reading, interpreting, and working with Legal to draft or negotiate agreements
Strategic thinker with operational rigor, able to align suppliers with business objectives and long-term growth
Excellent problem-solving, negotiation, and escalation management skills
Collaborative, humble, proactive, and comfortable operating in a fast-paced, high-growth, startup-like environment
Bachelor’s degree in Business, Operations, Engineering, or related field

Responsibilities

Lead the Supplier Account Management (SAM) team, overseeing supplier performance, contracts, and strategic relationships across Lambda’s Data Center portfolio
Own strategic supplier relationships and contract strategy, ensuring performance, compliance, and alignment with Lambda’s business objectives
Read, interpret, and draft business terminology for contracts as needed, partnering closely with Legal to ensure agreements protect Lambda’s interests and support operational objectives
Oversee supplier performance tracking using SLAs, QBRs, scorecards, and operational metrics, guiding the SAMs in proactive issue management
Act as escalation point for supplier disputes, service-level issues, or operational challenges that the SAMs cannot resolve
Collaborate with AP, Finance, Legal, and internal stakeholders to ensure supplier activities align with operational and portfolio objectives
Identify opportunities for supplier consolidation, innovation, and cost efficiency, and drive implementation through the SAMs
Build and maintain documentation, dashboards, and reporting to provide leadership with clear visibility into supplier performance, risks, and trends
Partner with cross-functional teams to influence supplier strategy, support operational readiness, and enable scalable growth

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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