Lambda

Lambda

Corporate Development Associate - Digital Infrastructure M&A

San Francisco Office (Second St)

Sponsorship not specifiedDetected 7 days ago
Cloud PlatformsMachine LearningFinancial ModelingValuationM&AResearchCommunicationPublic Speaking

About the role

  • Salary Range Information The annual salary range for this position has been set based on market data and other factors.
  • However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.

Responsibilities

  • Support the identification, evaluation, and execution of M&A, strategic investments, and partnerships to expand our portfolio of land-power-shell assets.
  • Lead financial modeling, valuation analysis, and due diligence on potential transactions.
  • Develop investment theses and market analyses to support strategic decision-making.
  • Strong financial modeling, valuation and analytical skills: specifically, experience building real estate development models, merger models, and accretion/dilution analysis
  • Strategic thinker with the ability to synthesize market data into actionable insights and drive high-impact decisions.
  • Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove
  • If you'd like to build the world's best AI cloud, join us.
  • As Lambda continues its rapid growth, we are expanding our corporate development function to drive strategic growth initiatives, partnerships, and M&A opportunities in data centers and real infrastructure.

Skills

  • Excellent presentation and communication abilities, with experience presenting to executives and external stakeholders.
  • Ability to thrive in a fast-paced, high-growth environment, balancing multiple complex projects.
  • We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
  • Salary Range Information
  • The annual salary range for this position has been set based on market data and other factors.
  • About Lambda
  • Health, dental, and vision coverage for you and your dependents
  • Wellness and commuter stipends for select roles
  • 401k Plan with 2% company match (USA employees)
  • Flexible paid time off plan that we all actually use
  • Equal Opportunity Employer
  • Lambda is an Equal Opportunity employer.

Compensation

  • The annual salary range for this position has been set based on market data and other factors.
  • However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.
  • We offer generous cash & equity compensation

Benefits

  • This high-impact role will collaborate cross-functionally to identify opportunities and execute transactions that support Lambda's long-term vision.
  • Deep interest in AI, cloud infrastructure, and emerging technology trends-prior experience in the machine learning or GPU computing space is a strong plus.

Company info

  • We offer generous cash & equity compensation
  • Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers.
  • Our customers range from AI researchers to enterprises and hyperscalers.

Equal opportunity

  • Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

Visa & Work Authorization

  • ational origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law

This listing is sourced directly from Lambda's careers page and normalized into a canonical job model.