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Lambda

Lambda

Cloud-based GPU services for AI training

Account Chief Technology Officer

Full-Time
$271k - $425k/yr

+ Equity compensation

Expert
Bachelor's, MBA
Remote in USA
Remote

About the job

Requirements
  • Have 15+ years of experience designing, deploying and scaling cloud infrastructure.
  • Have 6+ years of experience working directly with C-suite executives and senior leadership teams in advisory or consultative capacities.
  • Have 5+ years driving cloud transformation initiatives at enterprise scale.
  • Have a proven track record of influencing C-suite executives and board-level stakeholders.
  • Have deep expertise in artificial intelligence and machine learning technologies and their business applications.
  • Have experience with NVIDIA DGX, HGX, and MGX systems, InfiniBand and RoCE networking, and large-scale GPU cluster deployments.
  • Have experience with storage architectures including distributed file systems, object storage, high-performance parallel file systems, and NVMe-based solutions.
  • Have hands-on experience with large language model training, fine-tuning, and inference at scale.
  • Have experience with enterprise architecture frameworks and governance models.
  • Have experience managing or influencing deals worth $1B+ annually.
  • Have strong business acumen with the ability to translate technology into business outcomes.
  • Have experience navigating complex organizational dynamics and driving consensus.
  • Have a track record of building strategic partnerships and alliances.
  • Excel at executive communication, presentation, and storytelling.
  • Demonstrate thought leadership through publications, speaking engagements, or industry recognition.
Responsibilities
  • Serve as the primary technical liaison for Lambda's strategic Superintelligence accounts.
  • Cultivate and sustain executive-level technical relationships, establishing Lambda as a trusted technology partner and strategic advisor.
  • Drive multi-year technology roadmaps aligned with customer business objectives and Lambda's product portfolio.
  • Influence customer technology strategy and adoption at the executive level.
  • Represent Lambda at executive briefings, board meetings, and strategic planning sessions.
  • Partner with Global Account teams to drive strategic account growth and expansion.
  • Lead architectural reviews and technology assessments at the enterprise level.
  • Define and articulate business value propositions, return-on-investment models, and total-cost-of-ownership analyses for executive stakeholders.
  • Orchestrate cross-functional teams including Solutions Engineers, Forward Deployed Engineers, Professional Services, and Product Management.
  • Own technical escalations and serve as the Executive Technical Sponsor for critical customer initiatives.
  • Drive adoption of Lambda's strategic initiatives within key accounts.
  • Establish yourself as a trusted advisor on artificial intelligence and machine learning transformation and cloud strategy.
  • Guide customers through digital transformation journeys and emerging technology adoption.
  • Publish thought leadership content, speak at industry events, and represent Lambda in executive forums.
  • Influence Lambda's product strategy based on strategic customer needs and market trends.
  • Mentor and develop technical talent across the organization.
Desired Qualifications
  • An MBA or advanced degree in Computer Science, Engineering, or a related technical field.
  • Experience as a CTO, Vice President of Engineering, Chief Architect, or Technical Fellow at a technology company with $100M+ revenue.
  • A track record working with AI labs, research institutions, or frontier model companies.
  • Board advisory experience for technology companies.
  • Published peer-reviewed research, whitepapers, or patents specifically in distributed computing, GPU acceleration, or large-scale machine learning training infrastructure.

About the company

Lambda Labs provides cloud-based GPU services for AI training and inference. Its AI Developer Cloud runs on NVIDIA GH200 Grace Hopper hardware to train large language models and generative AI, offering on-demand and reserved GPUs billed by the hour (for example, $1.99/hour for H100). It differentiates itself through competitive pricing, high availability, and an integrated ML stack with Lambda Stack for easy installation of PyTorch, TensorFlow, CUDA, cuDNN, and NVIDIA drivers, plus Lambda Echelon for owning infrastructure with hosting and support. Its goal is to make scalable AI development and deployment affordable by providing flexible GPU access, reliable hosting, and streamlined software deployment for teams working with large models.

Company Size

501-1,000

Company Stage

Debt Financing

Total Funding

$8.1B

Headquarters

San Jose, California

Founded

2012

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Simplify's Take

What believers are saying

  • Anthropic's $35 billion deal validates Lambda's ability to win frontier-lab workloads.
  • Lambda raised $1 billion in May 2026, then $926 million in August 2026.
  • NVIDIA partnership and 10,000-GPU production clusters support rapid deployment and utilization.

What critics are saying

  • Anthropic's $35 billion contract concentrates revenue exposure in one customer and one Texas campus.
  • Lambda relies on billions of debt; a chip supply shock breaks its leverage model.
  • CoreWeave, AWS, and Microsoft compress pricing before Lambda's planned 2027 IPO.

What makes Lambda unique

  • Lambda ships bare-metal NVIDIA Vera Rubin NVL72 instances in H2 2026.
  • Lambda closed $926 million term loan B on August 27, 2026 for dedicated GPU assets.
  • Michel Combes became CEO in May 2026, professionalizing scale for 3GW by 2030.

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Benefits

Health Insurance

Dental Insurance

Vision Insurance

401(k) Retirement Plan

401(k) Company Match

Unlimited Paid Time Off

Wellness Program

Commuter Benefits

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

1%

2 year growth

1%
Yahoo Finance
Sep 1st, 2026
Anthropic signs $35B cloud deal with Nvidia-backed Lambda for Texas data centre

Anthropic has signed a $35 billion cloud-computing agreement with Nvidia-backed Lambda, the Wall Street Journal reported. The deal gives Anthropic access to computing capacity from a Texas data centre being developed by Hut 8, a Bitcoin miner turned data centre operator. Nvidia secured capacity at the facility, whilst Lambda will deploy Nvidia chips and provide computing resources to Anthropic. The arrangement's financial terms remain unclear. Anthropic's annualised revenue run rate reportedly reached $65 billion by end-July. The structure highlights Nvidia's expanding role beyond selling AI chips. Anthropic previously agreed to spend $45 billion over six years with another Nvidia-backed provider, Nscale. In April, Amazon announced Anthropic plans to spend over $100 billion on AWS technology over the next decade.

Associated Press
Aug 27th, 2026
Lambda closes $926M term loan B to fund GPU infrastructure for investment-grade customer

Lambda has closed a $926 million senior secured term loan B facility to fund GPU infrastructure for an investment-grade customer. The facility, priced at SOFR + 3.00% and issued at 99.5% of principal, received a Baa2 rating from Moody's. This marks Lambda's first large-scale private cloud GPU asset-backed financing and the first broadly syndicated, investment-grade-rated term loan B by a private neocloud. The facility matures on 31 December 2030 and is secured by the GPU servers and related infrastructure it funds. The closing follows Lambda's $1 billion senior secured credit facility announced in May 2026. Morgan Stanley acted as lead left arranger, bookrunner, and administrative agent, with MUFG serving as joint bookrunner.

The Next Web
Aug 25th, 2026
Lambda is raising up to $3bn before an IPO, months after borrowing $917m for chips

Nvidia-backed Lambda is in talks for up to $3bn in pre-IPO financing at a valuation of $12bn or more, ahead of a listing next year.

AD HOC NEWS
Aug 11th, 2026
Nvidia arranges $500B AI infrastructure credit, raising Ouroboros risk concerns over chipmaker-lender overlap

Nvidia is arranging over $500 billion in AI infrastructure credit alongside Apollo Global Management, Blackstone, BlackRock, Brookfield Asset Management, Goldman Sachs and KKR, raising concerns about circular financing. The chipmaker may secure up to $125 billion of the total itself. A recent $917 million credit facility with Lambda demonstrates how the system works: customers lacking liquidity can access capital arranged through the consortium to purchase Nvidia hardware. CEO Jensen Huang aims to transform the company's graphics chips into an "investable asset class". Critics warn of an "Ouroboros dilemma" — when manufacturers arrange loans for customers to buy their own products, creating a closed loop vulnerable to collapse if actual AI service demand lags infrastructure buildout. Nvidia shares closed at €188.50 on Monday, down 2.67%. The company reports second-quarter fiscal 2027 earnings on 26 August.

Crypto Briefing
Aug 10th, 2026
Lambda secures $1B credit facility to finance Nvidia chip deployment in AI infrastructure expansion

Lambda, an AI cloud infrastructure company, has closed a $1 billion syndicated senior secured credit facility arranged by J.P. Morgan. This represents a nearly fourfold increase from the $275 million facility Lambda established in August 2025. The capital will fund deployment of next-generation Nvidia AI accelerator servers and data centre expansion. Lambda previously secured a $500 million loan in 2024 collateralised by Nvidia chips. The company raised $480 million in a Series D funding round in February 2025. Lambda has also established a multibillion-dollar commercial partnership with Microsoft focused on building AI infrastructure. Founded in 2012, Lambda now serves tens of thousands of customers with GPU clusters built for AI training and inference workloads.