Account CTO

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. person, GPU.

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

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 You’ll Do

• Strategic Technology Leadership for Key Accounts

• 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

• 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 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

• 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 Lambda's 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 board-level stakeholders

• Have deep expertise in AI/ML technologies and their business applications

• Have experience with NVIDIA DGX/HGX/MGX systems, InfiniBand &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 LLM 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 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 peer-reviewed research, whitepapers, or patents specifically in distributed computing, GPU acceleration, or large-scale 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, 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: https://lambda.ai/careers https://lambda.ai/careers

• 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

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.

• 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 peer-reviewed research, whitepapers, or patents specifically in distributed computing, GPU acceleration, or large-scale ML training infrastructure