Account CTO at Lambda

About this role

Lambda, The 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 . One person, one 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 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


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.