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

Structured Finance

Project Finance

Asset-Backed Loans

ABS

SPVs

Bankruptcy-Remote Entities

Term Loans

Revolvers

Receivable Purchase Facilities

Warehouse Facilities

Equipment Leases

HY Bonds

Convertible Notes

Cash Flow Waterfall Modeling

Risk Tranching

Deal Structuring

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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