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Lambda

Cloud-based GPU services for AI training

Corporate Development Senior Analyst - Capital Markets & Corporate Development

Investment BankingConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • At least 2 years of experience in investment banking, private equity, private credit, or venture capital; experience focused on AI, cloud infrastructure, debt capital markets, or restructuring is ideal.
  • Strong financial modeling, valuation, and analytical skills, including experience building company models, merger models, or project finance or debt financing models.
  • Ability to synthesize market data into actionable insights and drive high-impact decisions.
  • Experience presenting to executives and external stakeholders.
  • Ability to balance multiple complex projects in a fast-paced, high-growth environment.
  • Deep interest in AI, cloud infrastructure, and emerging technology trends.

Responsibilities

  • Support the identification, evaluation, and execution of M&A, strategic investments, debt and equity capital raises, and strategic partnerships to accelerate growth, enhance capabilities, strengthen the balance sheet, and expand market reach.
  • Lead financial modeling, valuation analysis, capital structure analysis, and due diligence for M&A transactions, strategic investments, and debt and equity financing activities.
  • Conduct strategic and financial evaluation of M&A, investment, and capital-raising opportunities; communicate findings through business case memos, financing materials, and executive presentations.
  • Track industry trends, competitive dynamics, capital markets, and potential market opportunities to inform corporate development and financing strategy, while keeping stakeholders updated on the evolving ecosystem.
  • Develop investment theses, financing strategies, and market analyses to support strategic decision-making, capital allocation, and long-term growth.
  • Identify and cultivate strategic partnerships that enhance product offerings, distribution channels, technology stack, and broader corporate growth objectives, including relationships with financial sponsors, lenders, investors, and strategic counterparties.

Desired Qualifications

  • Prior experience in the machine learning or GPU computing space is a strong plus.

About the Company

Lambda

Cloud-based GPU services for AI training

Lambda Labs provides cloud-based GPU services for AI training and inference via its AI Developer Cloud, powered by NVIDIA GH200 Grace Hopper hardware to efficiently train large language models and generative AI. Customers access on-demand or reserved GPUs and are billed by the hour (for example, NVIDIA H100 at about $1.99/hour); it also offers Lambda Echelon, where clients own infrastructure but pay a monthly hosting and support fee, and Lambda Stack, a software suite that helps ML teams install and upgrade tools like PyTorch, TensorFlow, CUDA, cuDNN, and NVIDIA drivers. The company differentiates itself through competitive pricing, available high-end hardware, and an integrated ML software stack that streamlines workflows. Its goal is to enable scalable, affordable AI development and deployment by providing flexible GPU access, reliable hosting, and easy software deployment for teams working with large models.

Company size
501-1,000
Company stage
Late Stage VC
Total funding
$9.1B
Headquarters
San Jose, CA
Founded
2012

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