Account CTO at Lambda

San Francisco, California, United States

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$319,000 – $478,000Compensation

Expert & Leadership (9+ years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

AI, Cloud Computing, TechnologyIndustries

Requirements

15+ years of experience designing, deploying and scaling cloud infrastructure
6+ years of experience working directly with C-suite executives and senior leadership teams in advisory or consultative capacities
5+ years driving cloud transformation initiatives at enterprise scale
Proven track record of influencing C-suite executives and board-level stakeholders
Deep expertise in AI/ML technologies and their business applications
Experience with NVIDIA DGX/HGX/MGX systems, InfiniBand & RoCE networking, and large-scale GPU cluster deployments
Hands-on experience with LLM training, fine-tuning, and inference at scale
Experience with enterprise architecture frameworks and governance models
Experience managing or influencing deals worth $1B+ annually
Strong business acumen with ability to translate technology into business outcomes
Experience navigating complex organizational dynamics and driving consensus
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

Responsibilities

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
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
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

Skills

Deep Learning

AI Infrastructure

Cloud APIs

GPU

System Deployment

Infrastructure Management

Technical Strategy

Architectural Reviews

ROI Analysis

TCO

Lambda

Cloud-based GPU services for AI training

About Lambda

Lambda Labs provides cloud-based services for artificial intelligence (AI) training and inference, focusing on large language models and generative AI. Their main product, the AI Developer Cloud, utilizes NVIDIA's GH200 Grace Hopper™ Superchip to deliver efficient and cost-effective GPU resources. Customers can access on-demand and reserved cloud GPUs, which are essential for processing large datasets quickly, with pricing starting at $1.99 per hour for NVIDIA H100 instances. Lambda Labs serves AI developers and companies needing extensive GPU deployments, offering competitive pricing and infrastructure ownership options through their Lambda Echelon service. Additionally, they provide Lambda Stack, a software solution that simplifies the installation and management of AI-related tools for over 50,000 machine learning teams. The goal of Lambda Labs is to support AI development by providing accessible and efficient cloud GPU services.

San Jose, CaliforniaHeadquarters

2012Year Founded

$372.6MTotal Funding

DEBTCompany Stage

AI & Machine LearningIndustries

201-500Employees

Risks

Nebius' holistic cloud platform challenges Lambda's market share in AI infrastructure.

AWS's 896-core instance may draw customers seeking high-performance cloud solutions.

Existential crisis in Hermes 3 model raises concerns about Lambda's AI model reliability.

Differentiation

Lambda offers cost-effective Inference API for AI model deployment without infrastructure maintenance.

Nvidia HGX H100 and Quantum-2 InfiniBand Clusters enhance Lambda's AI model training capabilities.

Lambda's Hermes 3 collaboration showcases advanced AI model development expertise.

Upsides

Inference API launch attracts enterprises seeking low-cost AI deployment solutions.

Nvidia HGX H100 clusters provide competitive edge in high-performance AI computing.

Strong AI cloud service growth indicates rising demand for Lambda's GPU offerings.

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