VP of Presales Solutions Architecture – AI Infrastructure

This is a fully remote position, open to applicants in United States.

📋 Description

• Recruit, mentor, and retain a top-tier team of Solutions Architects and Field Engineers.

• Develop the global pre-sales operational framework as headcount and deal volume increase.

• Create reusable field assets such as discovery frameworks, reference architectures, TCO/benchmark models, POV playbooks, and RFP response libraries.

• Establish and uphold a high technical quality standard throughout the organization.

• Conduct enablement sessions so Solutions Architects can effectively communicate about GPU architecture, high-speed fabrics, and container orchestration.

• Collaborate with Account Executives as the technical lead on significant enterprise opportunities.

• Oversee technical sales for long-cycle opportunities ranging from 6 to 18+ months and multi-million-dollar ACV/TCV.

• Implement structured qualification processes using MEDDPICC or a similar framework.

• Design comprehensive solutions encompassing compute, networking, storage, and orchestration.

• Provide sizing, capacity plans, and TCO comparisons with public clouds and self-built alternatives.

• Create and manage POVs/POCs, establish success criteria, conduct performance benchmarks, and translate results into commercial momentum.

• Supply structured product, capacity, and feature requirements to product management, engineering, and supply planning teams.

• Collaborate with the NVIDIA field ecosystem on cloud partnerships, reference architectures, and joint pursuits.

• Influence roadmap prioritization, packaging, and go-to-market strategies based on field insights.

⛳️ Requirements

• Demonstrated success in leading technical sales within intricate B2B environments.

• Preferred experience with multi-year committed-capacity or reserved-capacity deal structures.

• Proven history of recruiting, developing, and guiding Solutions Architecture or Field Engineering teams.

• Technical expertise to navigate complex deals while scaling teams effectively.

• Practical experience in setting up or managing production ML workloads, including distributed training and multi-node inference.

• Profound understanding of performance bottlenecks in interconnect, memory bandwidth, I/O, and cluster scheduling.

• Proficiency with Hopper and Blackwell architectures, including H100/H200, GB200 NVL72, and B200.

• Experience with DGX, HGX, and MGX reference systems.

• In-depth knowledge of NVLink/NVSwitch domains, InfiniBand, Spectrum-X Ethernet, RDMA/RoCE, and DPUs.

• Practical experience with Kubernetes GPU operators and device plugins, KubeVirt, Metal3/Ironic bare-metal provisioning, and Slurm is preferred.

• Familiarity with high-throughput parallel/object storage systems for AI pipelines.

• Understanding of data center physical constraints such as power, cooling, and rack density.

• Strongly preferred pre-sales or infrastructure leadership experience at a NeoCloud, hyperscaler AI organization, or accelerated-hardware vendor.

🏝️ Benefits

• Flexibility to work remotely.

• Opportunity to lead and establish a global pre-sales organization.

• Chance to influence the product roadmap, packaging, and go-to-market strategies.

• Collaboration with the NVIDIA field ecosystem on joint pursuits.