[Remote] Data Center Business Operations Principal Lead at Lambda

United States

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Not SpecifiedCompensation

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Requirements

Proven experience leading teams responsible for data center business operations, supplier management, or infrastructure project coordination
Strong strategic and operational mindset, balancing day-to-day execution with long-term planning and scalability
Excellent problem-solving skills, able to navigate ambiguity and drive solutions across multiple functions
Skilled at stakeholder management and cross-functional collaboration, able to influence and align diverse teams
Comfortable working in a fast-paced, dynamic environment, able to prioritize effectively and adapt to changing priorities
Strong analytical, documentation, and reporting skills
Familiarity with contract management, lease administration, support planning, and expense forecasting
Experience with process improvement, SOP creation, and cross-functional project management
Bachelor’s degree in Business, Engineering, Operations, or a related field

Responsibilities

Oversee and coordinate the work of managers and ICs across DBS, ensuring alignment with Lambda’s strategic objectives and operational excellence
Partner closely with the Director to translate strategic objectives into actionable initiatives and operational plans
Provide strategic oversight and coordination across DBS managers in Expense Management, Operations & New DC Demand, and Supplier Management to drive alignment and delivery
Act as a senior escalation point for complex operational or contractual issues, delays, or risks across all DBS functions
Drive cross-functional collaboration with Finance, SAMs, AP, DCIE, and other internal stakeholders to ensure seamless operations and proactive issue resolution
Monitor portfolio-level performance, providing insights and recommendations to manager
Lead process improvement, standardization, and operational excellence across DBS functions, including Standard Operating Procedure development, dashboards, and reporting
Drive a culture of high performance, collaboration, and accountability
Lead critical projects or initiatives requiring cross-functional coordination, strategic thinking, and timely execution
Serve as a trusted advisor to the Director, providing insights, analysis, and recommendations to support decision-making and long-term planning

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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