[Remote] Manager - Data Center Infrastructure Expense Management at Lambda

United States

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$201,000 – $302,000Compensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

AI, Cloud Computing, Data CentersIndustries

Requirements

Experienced in managing large-scale infrastructure expense portfolios, ideally across data center, network, or cloud environments
Operationally strong and analytically sharp, able to turn data into clear insights that inform business decisions
Detail-oriented, structured, and proactive, with a track record of driving clarity in dynamic, high-growth settings
Collaborative, humble, and driven, comfortable managing up, working cross-functionally, and building strong partnerships
A team builder who leads with empathy, curiosity, and commitment to growth and development
Thrives in startup-like environments where structure is being built and impact is tangible

Responsibilities

Lead end-to-end expense management for Lambda’s Data Center and Network portfolios, ensuring visibility into all recurring and variable costs
Partner with DC and Network Account Managers to align expense forecasts with demand plans and supplier delivery
Drive portfolio reporting across forecast vs. actuals, spend trends, and key cost drivers
Build dashboards and reporting frameworks to provide executives with clear, actionable insights into portfolio performance
Support supplier negotiations and renewals with cost analysis, benchmarking, and scenario modeling
Identify and implement process improvements to streamline expense tracking, forecasting, and reporting workflows
Help shape automation and tooling solutions to support scalable, data-driven portfolio governance
Lead and develop a small team, fostering a culture of accountability, curiosity, and continuous improvement

Skills

Key technologies and capabilities for this role

Expense ManagementForecastingData CenterNetwork InfrastructureSupplier ManagementCost AnalysisBenchmarkingScenario ModelingDashboardingReportingProcess ImprovementAutomationTeam Leadership

Questions & Answers

Common questions about this position

What is the salary range for this position?

The salary range is $201K - $302K annually, though a higher or lower salary may be appropriate based on market data and other factors.

Is this role remote?

Yes, this is a remote position.

What skills are required for this role?

Candidates need experience managing large-scale infrastructure expense portfolios, strong analytical skills to turn data into insights, detail-oriented and proactive approaches, collaborative cross-functional partnership abilities, and team leadership with empathy and curiosity.

What is the company culture like?

The culture emphasizes building structure in startup-like environments, fostering accountability, curiosity, and continuous improvement, while thriving on tangible impact in high-growth settings.

What makes a strong candidate for this role?

Strong candidates have experience managing infrastructure expenses in data centers, networks, or cloud, excel at analytics and cross-functional collaboration, and demonstrate team leadership in dynamic, high-growth environments.

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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