5 months ago
Base Salary
$271k - $425k/yr
Responsibilities
- Serve as the primary technical liaison and trusted strategic advisor for Lambda’s key accounts.
- Build executive-level relationships and represent Lambda in executive briefings, board meetings, and strategic planning sessions.
- Develop multi-year technology roadmaps aligned with customer objectives and Lambda’s product portfolio.
- Lead enterprise architectural reviews and technology assessments.
- Define business value propositions, ROI models, and TCO analyses for executive stakeholders.
- Partner with account teams to drive strategic growth, expansion, and adoption of Lambda initiatives.
- Orchestrate Solutions Engineering, Forward Deployed Engineering, Professional Services, and Product Management teams.
- Own technical escalations and act as Executive Technical Sponsor for critical customer initiatives.
- Guide customers through AI/ML transformation, cloud strategy, digital transformation, and emerging technology adoption.
- Influence Lambda’s product strategy based on customer needs and market trends.
- Publish thought leadership, speak at industry events, represent Lambda in executive forums, and mentor technical talent.
Requirements
- 15+ years of experience designing, deploying, and scaling cloud infrastructure.
- 6+ years working directly with C-suite executives and senior leadership teams in advisory or consultative capacities.
- 5+ years driving enterprise-scale cloud transformation initiatives.
- Proven ability to influence C-suite executives and board-level stakeholders.
- Deep expertise in AI/ML technologies and their business applications.
- Experience with NVIDIA DGX, HGX, and MGX systems; InfiniBand and RoCE networking; and large-scale GPU cluster deployments.
- Experience with distributed file systems, object storage, high-performance parallel file systems, and NVMe-based storage solutions.
- 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 and ability to translate technology into business outcomes.
- Experience navigating complex organizational dynamics, building strategic partnerships, and driving consensus.
- Excellent executive communication, presentation, and storytelling skills.
- Evidence of thought leadership through publications, speaking engagements, or industry recognition.
- MBA or advanced degree in Computer Science, Engineering, or a related technical field is preferred.
- Experience as a CTO, VP of Engineering, Chief Architect, or Technical Fellow at a technology company with $100M+ revenue is preferred.
- Experience working with AI labs, research institutions, or frontier model companies is preferred.
- Board advisory experience is preferred.
- Peer-reviewed research, whitepapers, or patents in distributed computing, GPU acceleration, or large-scale ML training infrastructure are preferred.
Benefits
- Generous cash and equity compensation.
- Health, dental, and vision coverage for employees and dependents.
- Wellness and commuter stipends for select roles.
- 401(k) plan with company match for USA employees.
- Flexible paid time off plan.
Categories
Solutions Engineering
About Lambda
Lambda provides GPU cloud computing and on-prem AI hardware—servers, clusters, and workstations—for teams training and serving large ML models. Its products include NVIDIA H100/A100 instances, managed clusters, and the Lambda Stack software, sold via usage-based cloud pricing and hardware sales. Founded in 2012 and headquartered in San Francisco, the privately held company serves researchers, startups, enterprises, and hyperscalers.