Senior Treasury Analyst - Capital Markets & Liquidity at Lambda

San Francisco, California, United States

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$94,000 – $141,000Compensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, Technology, Cloud ComputingIndustries

Requirements

3–5 years of experience in corporate treasury, banking, finance, or accounting (experience in a technology or high-growth environment preferred)
Bachelor’s degree in Finance, Accounting, or Economics; progress toward CTP or CFA designation is a plus
Advanced analytical and modeling skills, with proficiency in Excel and financial systems
Experience with treasury management systems, BI dashboards, and cash forecasting tools
Detail-oriented and highly organized, with the ability to manage multiple priorities in a fast-paced environment
Curious, collaborative, and proactive — motivated to build the financial infrastructure powering the future of AI

Responsibilities

Support cash flow forecasting, liquidity planning, and working capital optimization
Contribute to evaluating capital structure strategies, including debt financing, initial public offering, and banking facilities
Support the Treasurer in maintaining compliance with loan covenants, credit agreements, and internal policies
Assist in monitoring and reporting on cash, investments, debt, interest rate exposure, and hedging activities
Coordinate day-to-day interactions with banking partners
Track performance of banking services, fees, and interest income optimization
Develop and maintain treasury models to support interest expense forecasting, liquidity analysis, and scenario planning
Analyze global market trends and credit conditions to inform strategic treasury decisions (including peer benchmarking)
Assist with ad-hoc financial analyses for leadership
Help implement process improvements and policies for cash management, payments, and reporting
Leverage analytics tools (Excel, Python, BI tools) to enhance visibility and decision-making
Partner cross-functionally with Finance and Legal teams to support capital markets transactions and corporate financing initiatives

Skills

Python

Excel

BI tools

cash flow forecasting

liquidity planning

working capital optimization

debt financing

financial modeling

scenario planning

hedging

financial risk management

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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