Job Description

Account CTO Lambda

Join to apply for the Account CTO role at Lambda .

This range is provided by Lambda. Your actual pay will be based on your skills and experience talk with your recruiter to learn more.

Base pay range

$319,000.00/yr - $478,000.00/yr

Lambda, The Superintelligence Cloud, builds Gigawatt-scale AI Factories for Training and Inference. Lambdas mission is to make compute as ubiquitous as electricity and give every person access to artificial intelligence. One person, one GPU. If you'd like to build the world's best deep learning cloud, join us.

Note: This position requires presence in our SanFrancisco office location 4 days per week; Lambdas designated work-from-home day is currently Tuesday.

Engineering at Lambda is responsible for building and scaling our cloud offering. Our scope includes the Lambda website, cloud APIs and systems as well as internal tooling for system deployment, management and maintenance.

What Youll Do

• Strategic Technology Leadership for Key Accounts
  • Serve as the primary technical liaison for Lambdas strategic Superintelligence accounts.
  • Cultivate and sustain executivelevel technical relationships, establishing Lambda as a trusted technology partner and strategic advisor.
  • Drive multiyear technology roadmaps aligned with customer business objectives and Lambdas product portfolio.
  • Influence customer technology strategy and adoption at the executive level.
  • Represent Lambda at executive briefings, board meetings, and strategic planning sessions.
• Own Technical Strategy and Business Outcomes
  • 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, ROI models, and TCO analyses for executive stakeholders.
  • Orchestrate crossfunctional teams including Solutions Engineers, ForwardDeployed Engineers, Professional Services, and Product Management.
  • Own technical escalations and serve as the Executive Technical Sponsor for critical customer initiatives.
  • Drive adoption of Lambdas strategic initiatives within key accounts.
• Technology Vision and Thought Leadership
  • Establish yourself as a trusted advisor on AI/ML 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 Lambdas product strategy based on strategic customer needs and market trends.
  • Mentor and develop technical talent across the organization.

You

• 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 proven track record of influencing C-suite executives and boardlevel stakeholders.
• Have deep expertise in AI/ML technologies and their business applications.
• Have experience with NVIDIA DGX/HGX/MGX systems, InfiniBand &RoCE networking, and largescale GPU cluster deployments.
• Have handson experience with LLM training, finetuning, 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 ability to translate technology into business outcomes.
• Have experience navigating complex organizational dynamics and driving consensus.
• Have 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.

Nice to Have

• MBA or advanced degree in Computer Science, Engineering, or related technical field.
• Experience as a CTO, VP of Engineering, Chief Architect, or Technical Fellow at a technology company with $100M+ revenue.
• Track record working with AI labs, research institutions, or frontier model companies.
• Board advisory experience for technology companies.
• Published peerreviewed research, whitepapers, or patents specifically in distributed computing, GPU acceleration, or largescale ML training infrastructure.

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.

About Lambda

• Founded in 2012, ~400 employees (2025) and growing fast.
• We offer generous cash & equity compensation.
• Our investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, InQTel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, US Innovative Technology, Gradient Ventures, Mercato Partners, SVB, 1517, Crescent Cove.
• We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitability.
• Our research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG.
• 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 timeoff 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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