[Remote] Director, Data Center Operations - North America at Lambda

United States

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Not SpecifiedCompensation

N/AExperience Level

N/AJob Type

Not SpecifiedVisa

N/AIndustries

Requirements

10+ years of experience in data center operations, with at least 7 years in a leadership role managing multi-site or hyperscale facilities
Proven experience supporting AI, HPC, or cloud infrastructure at scale
Deep understanding of power and cooling systems, networking, capacity planning, and facility automation tools (DCIM, BMS, etc.)
Strong track record of improving operational efficiency and managing relationships with data center providers
Preferred Bachelor’s degree in Engineering, Computer Science

Responsibilities

Develop and execute the North American data center operations strategy aligned with AI infrastructure goals and organizational growth
Drive continuous improvement across facility operations, emphasizing sustainability, efficiency, and resilience
Partner with Engineering, Capacity Planning, and Infrastructure teams to forecast and support future AI and GPU-based compute requirements
Oversee expansion projects, retrofits, and site selection in collaboration with Data Center Infrastructure Engineering and HPC Architecture teams
Lead a multi-site operations team ensuring 24/7/365 reliability, availability, and SLA response across all facilities
Establish standardized procedures, metrics, and best practices for preventive maintenance, incident management, and service delivery
Monitor operational KPIs including uptime, PUE, safety, and compliance with corporate and regulatory standards
Implement automation and AI-driven monitoring solutions to optimize system performance and predictive maintenance
Coordinate and communicate data center provider maintenances with customers and impacted teams
Build, mentor, and scale a high-performing team of operations managers, technicians, and engineers across multiple regions
Routinely visit all sites to maintain standards, develop relationships, and identify areas of efficiency
Foster a culture of safety, accountability, and continuous learning driving data center operations to take on more responsibility and work up the stack
Assist in the build out of new data center whitespace and deployment of AI Infrastructure
Develop and manage operating budgets, capital expenditures, and cost-optimization initiatives
Oversee strategic vendor partnerships with numerous data center providers for power, cooling, maintenance, and critical infrastructure components
Ensure compliance with environmental, safety, and industry regulations (e.g., NFPA, OSHA, ISO standards)
Lead incident response and root cause analysis to drive preventive improvements for incidents related to data center operations or infrastructure
Act as primary point of contact for audits related to data center operations for compliance such as SOCII, ISO, etc

Skills

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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