Senior Financial Analyst at Lambda

San Francisco, California, United States

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$115,000 – $200,000Compensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

AI, Cloud Infrastructure, Software, Enterprise TechnologyIndustries

Requirements

Bachelor's degree in Finance, Accounting, Economics, or a related field
Minimum of 2-4 years of experience in financial analysis including FP&A, strategic finance, investment banking, private equity, or venture capital, ideally with a focus on software, AI, cloud infrastructure, and/or enterprise technology
Extensive experience in financial modeling and analysis, with deep expertise in constructing complex financial models and interpreting financial statements to drive strategic decision-making
Excellent analytical, strategic thinking, and decision-making skills
Strong Excel skills and experience with financial software systems
Ability to thrive in a fast-paced, high-growth environment, balancing multiple complex projects
Excellent written and verbal communication skills with the ability to present complex data clearly and concisely
Team player with a positive attitude, strong work ethic, and commitment to continuous improvement
Ability to work in an ambiguous environment with very little direction

Responsibilities

Develop and implement complex financial models for forecasting, budgeting, and long-term strategic planning
Conduct rigorous analysis of key performance indicators, operational metrics, and business trends, translating the data into actionable insights and recommendations
Lead the monthly and quarterly financial reporting processes, ensuring accuracy and providing variance analysis to highlight key business drivers and financial risks
Collaborate with cross-functional teams, including Sales, Marketing, Product, and Operations, to align on and support strategic initiatives, improve operational efficiency, provide deal support, and drive profitable growth
Assist in preparing management presentations and reports for the Executive team, Board of Directors, and external stakeholders
Participate in the financial due diligence for fundraising opportunities
Monitor industry trends and the competitive landscape to identify potential business risks and opportunities
Undertake interesting and impactful ad hoc analyses and special projects as directed by Leadership

Skills

Financial Modeling

FP&A

Strategic Finance

Forecasting

Budgeting

Variance Analysis

Financial Reporting

Financial Due Diligence

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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