Lambda

Account CTO

San Francisco Office (Second St) · Exec

Sponsorship not specifiedDetected 49 days ago

Cloud PlatformsMachine LearningLLMsProduct StrategyExcelResearchLeadershipCommunication

About the role

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.

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
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
Own technical escalations and serve as the Executive Technical Sponsor for critical customer initiatives
Drive adoption of Lambda's strategic initiatives within key accounts
Mentor and develop technical talent across the organization
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

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 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

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

Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence.
One person, one GPU.
Our scope includes the Lambda website, cloud APIs and systems as well as internal tooling for system deployment, management and maintenance.

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

Technology Vision and Thought Leadership
We have research papers accepted at 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
Flexible paid time off plan that we all actually use

We offer generous cash & equity compensation
401k Plan with 2% company match (USA employees)
Guide customers through digital transformation journeys and emerging technology adoption

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.

Own technical escalations and serve as the Executive Technical Sponsor for critical customer initiatives

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