[Remote] Data Center Implementation Project Manager at Lambda

United States

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$131,000 – $196,000Compensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

AI, Cloud Computing, Data CentersIndustries

Requirements

Experienced in leading or coordinating critical infrastructure projects, preferably within data center or mission-critical environments
Deep understanding of data center infrastructure, including colocation fit-outs, high-density compute expansions, and infrastructure upgrades
Ability to independently lead full project lifecycles from design coordination to site deployment
Technical depth to anticipate risks, resolve field challenges, and influence design reviews for constructability
Strong project execution fundamentals, including schedule and budget management, risk identification, and contingency planning
Proactive decision-making and sound judgment for complex issues
Clear stakeholder communication skills across engineering, supply chain, operations, and leadership
Willingness to travel 50% to various data center sites

Responsibilities

Drive implementation of large-scale colocation and white space fit-out projects, leading day-to-day execution across multiple vendors and internal workstreams
Proactively identify risks and apply sound judgment to resolve complex issues
Participate in and influence design reviews, ensuring constructability and alignment with Lambda’s data center standards; translate MEP and architectural designs into executable field plans
Maintain comprehensive project documentation including status reports, schedules, submittal logs, change tracking, and updates to project management systems
Interface directly with general contractors, commissioning agents, and OEM partners to ensure timely delivery and quality execution; evaluate and escalate performance issues
Oversee coordination and delivery of OFCI (Owner-Furnished, Contractor-Installed) equipment, anticipating logistical challenges and maintaining alignment between teams
Conduct regular site visits to assess progress, validate workmanship, enforce safety and compliance standards, and communicate deviations with resolution plans
Communicate project updates and risks to leadership and stakeholders; prepare meeting materials and drive action items
Track and forecast progress against milestones, budgets, and resources; recommend course corrections and contingency plans
Partner with Network Engineering, Data Center Operations, HPC, Supply Chain, and TPM teams for seamless coordination across buildout, commissioning, and handoff
Identify and implement improvements in project delivery workflows, documentation standards, and vendor management; mentor junior team members and contribute to training

Skills

Key technologies and capabilities for this role

Project ManagementData Center ImplementationColocation Fit-outsMEP DesignVendor ManagementRisk ManagementDesign ReviewsStakeholder CommunicationSupply Chain CoordinationOperations

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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