About this role
Lambda is searching for an Account CTO to join the Data Center Business team on a full-time, remote basis within the USA. This strategic leadership role suits an experienced cloud infrastructure professional who will act as the primary technical liaison and trusted advisor for key Superintelligence accounts.
Role Overview
The Account CTO will drive multi-year technology roadmaps and strategic account growth for top-tier customers. This position involves partnering closely with global account teams, leading enterprise-level architectural reviews, and serving as the Executive Technical Sponsor for critical customer initiatives.
Key Responsibilities
Requirements
Nice to Have
Skills and Tools
Salary and Benefits
About the Company
Founded in 2012, Lambda operates as The Superintelligence Cloud, providing AI cloud infrastructure to tens of thousands of customers ranging from AI researchers to enterprises and hyperscalers. The company employs over 500 people, is backed by notable investors including NVIDIA and USIT, and has published research papers at top machine learning and graphics conferences.
How to Apply
Interested candidates should visit the official Lambda careers page to submit an application for this remote position.
Skills and tech stack
Questions candidates ask
What is the salary range for the Account CTO position?
The annual salary range is set between $271,000 and $425,000 USD, depending on market data and qualifications.
Is this job remote?
Yes, this position is remote within the USA.
How many years of experience are required for this role?
Candidates must have 15+ years of experience designing, deploying, and scaling cloud infrastructure, along with specific experience working with C-suite executives and driving enterprise cloud transformations.
What benefits are offered by Lambda?
Lambda offers cash and equity compensation, health, dental, and vision coverage, wellness and commuter stipends for select roles, a 401(k) plan with a 2% company match, and flexible paid time off.
What technical background is expected?
Applicants need deep expertise in AI/ML technologies, LLM training, fine-tuning, and inference at scale, as well as experience with NVIDIA DGX/HGX/MGX systems, InfiniBand and RoCE networking, and various storage architectures.
