Lambda
Lambda

58 Lambda Engineers Jobs Hiring Near You

... Engineers, Professional Services, and Product Management • Own technical escalations and serve as the Executive Technical Sponsor for critical customer initiatives • Drive adoption of Lambda ...

Sr. Network Engineer

San Francisco, CA · Hybrid

$122K - $167K/yr

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of ... Will be part of day2 operations and on-call rotation for Network Engineering team You * Have 10+ ...

Sr. Network Engineer

Bellevue, WA · Hybrid

$117K - $160K/yr

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of ... Will be part of day2 operations and on-call rotation for Network Engineering team You * Have 10+ ...

Sr. Network Engineer

San Jose, CA · Hybrid

$121K - $167K/yr

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of ... Will be part of day2 operations and on-call rotation for Network Engineering team You * Have 10+ ...

Sr. Network Engineer

Seattle, WA · Hybrid

$118K - $162K/yr

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of ... Will be part of day2 operations and on-call rotation for Network Engineering team You * Have 10+ ...

Data Center Technical Program Manager

San Jose, CA · On-site +1

$141K/yr

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of ... Work closely with Data Center engineering and operations to ensure proper deployment of data center ...

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of ... Have experience collaborating closely with engineers, business teams, and security partners ...

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of ... Partner with Sourcing and Engineering teams to ensure material readiness for New Product ...

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of ... Network engineering * Platform reliability engineering * Security operations * Hardware and ...

Showing results 41-58

Account CTO

Full-time

Posted 21 days ago


Job description

Job Summary:
Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. The Account CTO will provide strategic technology leadership for key accounts, drive technical strategy, and cultivate executive relationships to align customer objectives with Lambda's offerings.
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
Qualifications:
Required:
• 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
Preferred:
• 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
Company:
Lambda is a cloud-based platform that provides high-performance GPU hardware and cloud infrastructure for AI model training and inference. Founded in 2012, the company is headquartered in San Jose, USA, with a team of 501-1000 employees. The company is currently Late Stage.