Director, Structured Finance & Credit Strategies at Lambda

San Francisco, California, United States

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$300,000 – $400,000Compensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

AI, Machine Learning, Cloud Computing, TechnologyIndustries

Requirements

7+ years of experience in structured finance focused roles at investment banks (structured products, asset finance, securitization, leveraged finance, or DCM with structured credit focus), private credit or direct lending platforms with expertise in asset-backed or bespoke financing structures, or credit-focused hedge funds or buy-side investment firms with exposure to structured credit, specialty finance, or capital solutions
Deep expertise in structured credit, project finance, and corporate finance, including the design and execution of complex secured and unsecured debt transactions
Strong understanding of legal entity structuring, intercompany dynamics, and credit risk mitigation techniques
Proven experience negotiating credit agreements and managing multi-party financing transactions
Exceptional modeling, communication, and project management skills
Ability to operate autonomously in a fast-paced, cross-functional environment without relying on large support teams
Self-starter who thrives on solving problems directly, not delegating them—willing to go deep into documentation, models, and deal mechanics
JD, JD/MBA, or experience working closely with legal teams is a strong plus
Experience in capital-intensive industries (infrastructure, cloud, semis, telecom, renewables, etc.) preferred

Responsibilities

Architect and execute complex financing structures, including asset-backed loans (ABL / ABS), SPVs and bankruptcy-remote entities, secured and unsecured term loans and revolvers, receivable purchase facilities (RFP), warehouse facilities, equipment leases and lease sale-backs, HY bonds, public convertible notes, etc., and hybrid/equity-linked instruments
Lead deal structuring and recommend financing solutions to the executive team
Interface with lenders, bankers, and advisors
Own deal-level cash flow waterfall modeling and risk tranching
Partner with Legal and Tax to evaluate and implement optimal legal entity structures, intercompany agreements, and security arrangements
Collaborate with Sales, Accounting, FP&A, and Treasury to operationalize financing arrangements and ensure accurate forecasting, compliance, and reporting
Prepare board-facing materials and analysis to support financing decisions
Stay current on capital markets trends, credit appetite, and macro factors influencing cost of capital
Work with the Head of Capital Markets to develop and maintain Lambda’s long-term debt strategy, liquidity forecasting, and covenant optimization

Skills

Key technologies and capabilities for this role

Structured FinanceProject FinanceAsset-Backed LoansABSSPVsBankruptcy-Remote EntitiesTerm LoansRevolversReceivable Purchase FacilitiesWarehouse FacilitiesEquipment LeasesHY BondsConvertible NotesCash Flow Waterfall ModelingRisk TranchingDeal Structuring

Questions & Answers

Common questions about this position

What is the salary range for the Director, Structured Finance & Credit Strategies role?

The salary range is $300K - $400K.

Is this position remote or hybrid, and what are the office requirements?

This is a hybrid position requiring presence in the San Francisco office 4 days per week, with Tuesday designated as the work-from-home day.

What experience is required for this role?

Candidates need 7+ years of experience in structured finance roles at investment banks (structured products, asset finance, securitization, leveraged finance, or DCM with structured credit focus), private credit or direct lending platforms with expertise in asset-backed or bespoke financing structures, or credit-focused hedge funds or buy-side investment firms with exposure to structured credit.

What does Lambda do, and what kind of team would I join?

Lambda is the #1 GPU Cloud for ML/AI teams, providing on-prem GPU systems, hosted GPUs, and managed inference services to government, researchers, startups, and enterprises worldwide. You'll join the Capital Markets team, working closely with the CFO, Head of Capital Markets, and external counterparties to support rapid infrastructure expansion.

What makes a strong candidate for this position?

A strong candidate is an experienced, high-caliber structured finance professional with 7+ years in relevant roles, skilled in architecting complex financing structures like asset-backed loans, SPVs, and equipment leases, and able to lead deal structuring while collaborating across teams.

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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