The opportunity
Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers.
What you'll do
Drive technical sales & executive influence Partner with Account Executives: to lead complex deals with large enterprises and digital native businesses and build trusted relationships with technical leaders (CTOs, Heads of AI/ML, Platform Leads)
Evaluate customer architectural needs, uncover potential bottlenecks, and: design end-to-end GPU cloud solutions
Author comprehensive proposals & architecture diagrams and collaborate with: teams on Bill of Materials (BOMs), and rack elevations for multi-node GPU clusters
Lead hands-on proof-of-concept (PoC) activities & benchmarking for: customers Design, execute, and deliver technical PoCs and custom prototypes to demonstrate Lambda’s performance, reliability, and value
Run benchmark evaluations across training and inference workloads to show: tangible performance and cost advantages over competitors
Architect & optimize AI/ML workloads Guide enterprise engineering teams on: structuring their AI lifecycle—from data ingestion and distributed training (SLURM, Kubernetes) to inference optimization (vLLM, TensorRT-LLM) and observability
What they're looking for
- Provide architectural guidance on high-performance networking (InfiniBand,: RoCE), distributed storage, and cluster topologies to ensure maximum GPU utilization
- Champion customer feedback & product advocacy Serve as the technical voice: of the customer internally, funneling field insights, product gaps, and feature requests directly to Lambda’s Product and Engineering teams
- Create field enablement assets, technical whitepapers, architectural: blueprints, and lead technical workshops for prospective clients & partners
- Represent Lambda as a subject matter expert at industry conferences, webinars, and technical community events
