[Remote] Lead - Infrastructure Business Operations & Expense Management at Lambda

United States

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$185,000 – $278,000Compensation

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

Full TimeJob Type

UnknownVisa

Cloud Computing, AI, Data CentersIndustries

Requirements

Hands-on experience in expense management and financial analysis, particularly in large-scale infrastructure environments like data centers, networks, or cloud platforms
Experienced in managing and analyzing expense data, ideally in large-scale infrastructure, cloud, or network environments
Technically skilled with experience in creating dashboards, financial models, and reporting tools (e.g., Excel, BI tools, etc.)
Detail-oriented and organized, with a proven ability to manage competing priorities and deadlines in a fast-moving environment
Collaborative and a strong communicator, comfortable working with both technical and non-technical stakeholders
Analytical, with a deep understanding of cost drivers and financial metrics, and a track record of turning data into insights for decision-making
A self-starter with a passion for process improvement and automation, eager to shape tools and processes to scale the business
A team player who brings a positive, curious attitude and is invested in the development of others

Responsibilities

Take ownership of specific areas within the Data Center and Network expense portfolios, ensuring ongoing tracking, analysis, and reporting
Collaborate closely with DC and Network Account Managers to ensure alignment between forecasted spend, demand plans, and supplier delivery
Manage Data Center and Network suppliers to ensure accurate, timely invoice submissions and maintain high standards of expense data integrity, reducing error rates and minimizing rework
Provide detailed financial analysis and commentary to help inform key business decisions, focusing on cost drivers, efficiency improvements, and potential cost-saving opportunities
Build, update, and maintain operational dashboards and financial models to track and communicate portfolio performance and expense health
Support expense forecasting and reporting processes, including tracking variances to budget and providing insights on the impact of changes in demand or supplier delivery
Drive continuous improvement by identifying and implementing process enhancements in expense tracking, forecasting, and reporting
Assist with supplier negotiations and renewals, providing data-driven insights and analysis for cost optimization
Mentor and guide junior team members, helping to drive a collaborative, learning-focused environment

Skills

Key technologies and capabilities for this role

Expense ManagementFinancial AnalysisData Center OperationsNetwork InfrastructureForecastingReportingDashboardsFinancial ModelingSupplier ManagementCost OptimizationExcelSQL

Questions & Answers

Common questions about this position

What is the salary range for this position?

The salary range is $185K - $278K.

Is this role remote?

Yes, this is a remote position.

What skills are required for this role?

Candidates need hands-on experience in expense management and financial analysis in large-scale infrastructure environments like data centers or networks, strong analytical skills to turn data into insights, and technical skills including building dashboards and financial models.

What is the company culture like?

The culture is collaborative and learning-focused, with emphasis on mentoring junior team members, partnering with cross-functional teams, and thriving in fast-paced, growth-oriented settings.

What makes a strong candidate for this position?

A strong candidate has experience managing expense data in infrastructure environments, excels at proactive problem-solving and operational efficiency, and is collaborative with a passion for data-driven insights.

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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