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Tech Stack
Tools & technologiesCloudKubernetesNode.js
About the role
Key responsibilities & impact- Hire, coach, and retain a world-class team of Solutions Architects and Field Engineers
- Establish the global pre-sales operating model as headcount and deal volume scale
- Build reusable field assets, including discovery frameworks, reference architectures, TCO/benchmark models, POV playbooks, and RFP response libraries
- Set and maintain a high technical quality bar across the organization
- Run enablement so Solutions Architects can speak credibly to GPU architecture, high-speed fabrics, and container orchestration
- Partner with Account Executives as the technical executive on strategic enterprise opportunities
- Lead technical sales for long-cycle opportunities of 6–18+ months and multi-million-dollar ACV/TCV
- Execute structured qualification using MEDDPICC or equivalent
- Architect end-to-end solutions across compute, networking, storage, and orchestration
- Deliver sizing, capacity plans, and TCO comparisons against public clouds and self-built alternatives
- Design and drive POVs/POCs, define success criteria, run performance benchmarks, and convert results into commercial momentum
- Feed structured product, capacity, and feature requirements to product management, engineering, and supply planning teams
- Partner with the NVIDIA field ecosystem on cloud partnerships, reference architectures, and joint pursuits
- Influence roadmap prioritization, packaging, and go-to-market strategy using field feedback
Requirements
What you’ll need- Proven track record leading technical sales in complex B2B environments
- Experience with multi-year committed-capacity or reserved-capacity deal structures preferred
- Track record of hiring, developing, and leading Solutions Architecture or Field Engineering teams
- Technical depth to lead complex deals while scaling teams
- Hands-on experience standing up or operating production ML workloads, including distributed training and multi-node inference
- Deep understanding of performance bottlenecks across interconnect, memory bandwidth, I/O, and cluster scheduling
- Fluency with Hopper and Blackwell architectures, including H100/H200, GB200 NVL72, and B200
- Experience with DGX, HGX, and MGX reference systems
- Deep understanding of NVLink/NVSwitch domains, InfiniBand, Spectrum-X Ethernet, RDMA/RoCE, and DPUs
- Hands-on experience with Kubernetes GPU operators and device plugins, KubeVirt, Metal3/Ironic bare-metal provisioning, and Slurm preferred
- Familiarity with high-throughput parallel/object storage systems for AI pipelines
- Familiarity with data center physical constraints, including power, cooling, and rack density
- Pre-sales or infrastructure leadership experience at a NeoCloud, hyperscaler AI organization, or accelerated-hardware vendor strongly preferred
Benefits
Comp & perks- Remote work
- Opportunity to lead and build a global pre-sales organization
- Opportunity to shape the product roadmap, packaging, and go-to-market strategy
- Partnership with the NVIDIA field ecosystem and joint pursuits