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LambdaLA

Head of Corporate Strategy

Lambda Labs is an AI infrastructure company providing GPU cloud services, servers, and workstations designed to accelerate deep learning and machine learning processes.

Lambda

Employee count: 201-500

Salary: 300k-450k USD

United States only

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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. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.

If you'd like to build the world's best AI cloud, join us.

Note: This position requires presence in our San Francisco or San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.

Opportunity

We're looking for a Head of Corporate Strategy to serve as a key strategic thought partner to the SVP of Commercial Strategy and Lambda's senior leadership team. As we scale rapidly across GPU cloud, data center infrastructure, and AI systems, we need a seasoned strategist who can independently own Lambda's corporate strategy function—synthesizing market intelligence, competitive dynamics, and internal data into clear strategic choices—and drive high‑priority cross‑functional initiatives from concept to execution. This role sits at the intersection of long‑range planning, commercial strategy, M&A and technology evaluation, executive communication, and will have high visibility with the CEO and C‑suite.

What You'll Do

  • Lead Corporate Strategy & Long‑Range Planning
    • Own Lambda's annual and multi‑year strategic planning process, synthesizing input from commercial, product, finance, and operations into a cohesive corporate strategy
    • Identify and size emerging opportunities in AI infrastructure, GPU cloud, and adjacent markets; develop strategic frameworks to guide investment and build/buy/partner decisions
    • Lead competitive intelligence efforts—tracking hyperscalers, co‑location providers, GPU cloud competitors, and AI‑native challengers—and translate insights into executive recommendations
    • Partner with the CFO and Finance to align the long‑range strategic plan with the financial model and capital allocation priorities
  • Drive Executive Communication & Stakeholder Alignment
    • Develop board‑level strategy materials and CEO decision‑support documents
    • Drive alignment across senior leadership on strategic priorities; create clear frameworks to resolve competing resource and investment decisions
    • Prepare the CEO and SVP for external strategy conversations, including customer EBRs, partner discussions, and industry forums
    • Support Commercial Strategy
    • Partner with the SVP of Commercial Strategy on go‑to‑market architecture, pricing strategy, and large deal structuring for enterprise and hyperscaler accounts
    • Lead cross‑functional projects on behalf of the SVP, ensuring workstreams deliver on time and at C‑suite quality bar
  • Support Strategic Technology Evaluation
    • Own the framework for evaluating long‑range strategic technology areas that may be synergistic with Lambda’s current business—from initial screening and thesis development through diligence and recommendation. This includes assessing emerging technologies, AI software platforms, hardware capabilities, and infrastructure tooling for strategic fit, competitive differentiation, and build/buy/partner trade‑offs
    • Develop and maintain a structured pipeline of potential partnership opportunities in AI infrastructure, silicon, networking, and adjacent software markets while working closely with the corporate development team on potential M&A fit.
    • Lead financial and strategic diligence workstreams: market sizing, competitive positioning, synergy modeling, integration risk assessment, and long‑range value creation scenarios
    • Build Market & Organizational Intelligence
      • Build and maintain Lambda's strategic market model—tracking TAM/SAM, competitive positioning, win/loss patterns, and customer segment dynamics
      • Synthesize signals from Sales, Product, Data Center Ops, and Finance into strategic insight for senior leadership
      • Develop Lambda's perspective on macro trends shaping AI infrastructure demand: model training workloads, inference at scale, sovereign AI, and enterprise adoption curves
    • Mentor and develop strategy analysts and associates; scale team output as the function grows

What You'll Have

  • 10+ years of experience across strategy consulting (McKinsey, BCG, Bain, or equivalent), investment banking, and/or corporate strategy at a high‑growth or publicly traded technology company
  • Deep expertise in AI, cloud infrastructure, or data center markets; ability to independently develop and own market models, competitive landscapes, and investment theses
  • Demonstrated track record of independently translating ambiguous, high‑stakes strategic questions into boardroom‑ready frameworks and executive recommendations
  • Experience leading large, cross‑functional strategic initiatives with direct C‑suite accountability and material impact on company direction
  • Familiarity evaluating AI software, hardware, or infrastructure technologies for strategic fit; ability to engage credibly with technical teams on architecture and capability assessments
  • Prior role as a right‑hand strategic partner to a CCO, CRO, or President in a commercial strategy capacity is valued
  • Track record of building, mentoring, or managing strategy teams; ability to develop junior talent and scale team output
  • Exceptional written and verbal communication skills; proven ability to develop and deliver board‑level strategy materials
  • Operates with VP‑adjacent ownership—sets the agenda, manages ambiguity, and builds the function rather than just executing within it

Education & Credentials

  • Bachelor's degree in Economics, Finance, Business, or related field required
  • MBA from a top‑tier institution strongly preferred
  • Prior experience in a structured analytical training program (consulting, banking, or equivalent) strongly preferred

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. Compensation Range: $300K - $450K.

About Lambda

  • Founded in 2012, with 500+ employees, and growing fast
  • 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
  • We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
  • Our values are publicly available:
  • We offer generous cash & equity compensation
  • 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

A Final Note

You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.

Equal Opportunity Employer

Lambda is an Equal Opportunity employer. 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.

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About the job

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Job type

Full Time

Experience level

Salary

Salary: 300k-450k USD

Location requirements

Hiring timezones

United States +/- 0 hours

About Lambda

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At Lambda, we are at the forefront of accelerating artificial intelligence and machine learning capabilities through our groundbreaking compute infrastructure. Founded in 2012, our mission is to empower AI engineers and researchers by providing them with the most efficient and powerful tools to train, fine-tune, and deploy AI models at scale. We recognized early on the immense computational power required for deep learning and set out to build solutions that make this power accessible and affordable. Our innovative approach began with developing high-performance GPU-powered workstations and servers, meticulously designed for the rigorous demands of AI development. This hardware foundation was engineered for plug-and-play simplicity, enabling teams to rapidly deploy and begin their work without complex setup procedures.

Building on our hardware expertise, Lambda launched the Lambda GPU Cloud, a specialized cloud service offering on-demand and reserved access to cutting-edge NVIDIA GPUs. This platform is engineered to provide a seamless and scalable environment for both AI training and inference, catering to the needs of startups and large enterprises alike. A key component of our ecosystem is the Lambda Stack, a comprehensive AI software repository that simplifies the setup and management of popular deep learning frameworks and drivers with one-line installations. This focus on a streamlined software experience, combined with our high-performance hardware and cloud offerings, allows AI developers to transition from concept to production with unprecedented speed and efficiency. We are committed to pushing the boundaries of what's possible in AI by continuously innovating and providing the essential infrastructure that fuels the next generation of intelligent systems. Our solutions are trusted by leading research institutions, Fortune 500 companies, and pioneering AI-native organizations globally, as we help them tackle complex computational challenges and drive significant advancements in their respective fields.

Employee benefits

Learn about the employee benefits and perks provided at Lambda.

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Dental

Dental coverage.

Vision

Vision coverage.

Sick days

Five sick days per year.

Paid holidays

12 paid holidays per year.

View Lambda's employee benefits
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