VP of Presales Solutions Architecture - AI Infrastructure

Mirantis • San Jose, CA

18d

About The Position

Mirantis is hiring a Head of Solutions Architecture to lead the technical win for k0rdent AI, build the pre-sales organization, and guide architecture strategy on high-value, long-cycle AI compute deals. k0rdent AI is a declarative “super control plane” for managing heterogeneous GPU infrastructure from hardware through AI models. The role partners with NeoClouds, AI-native startups, enterprise AI teams, research labs, and sovereign buyers, serving as an executive technical partner on complex infrastructure decisions.

The position combines team leadership, strategic deal execution, and customer-to-product feedback. It involves building reusable pre-sales practices and assets; leading technical qualification and architecture for strategic opportunities; developing sizing, capacity, and total-cost-of-ownership analyses; and designing proof-of-value and proof-of-concept engagements. The role also works with product, engineering, supply planning, and NVIDIA’s field ecosystem to inform product requirements, roadmap priorities, packaging, and go-to-market strategy.

Requirements

• Pre-sales leadership experience at a NeoCloud, hyperscaler AI organization, or accelerated-hardware vendor.
• Proven track record leading technical sales in complex B2B environments, ideally involving multi-year committed-capacity or reserved-capacity deal structures.
• Experience hiring, developing, and leading Solutions Architecture or Field Engineering teams, with the technical depth to lead complex deals.
• Hands-on experience standing up or operating production ML workloads, including distributed training and multi-node inference.
• Deep understanding of performance bottlenecks involving interconnect, memory bandwidth, I/O, and cluster scheduling.
• Fluency with NVIDIA Hopper and Blackwell architectures, including H100/H200, GB200 NVL72, and B200, and reference systems including DGX, HGX, and MGX.
• Deep understanding of NVLink/NVSwitch domains, InfiniBand, Spectrum-X Ethernet, RDMA/RoCE, and DPUs.

Nice To Haves

• Hands-on experience with cloud-native AI orchestration, including Kubernetes GPU operators and device plugins, KubeVirt, Metal3/Ironic bare-metal provisioning, and Slurm.
• Familiarity with high-throughput parallel or object storage systems for AI pipelines.
• Familiarity with data center physical constraints, including power, cooling, and rack density.

Responsibilities

• Hire, coach, and retain a team of Solutions Architects and Field Engineers, and establish a global pre-sales operating model as headcount and deal volume grow.
• Develop reusable field assets, including discovery frameworks, reference architectures, TCO and benchmark models, POV playbooks, and RFP response libraries.
• Set technical quality standards and provide enablement on GPU architecture, high-speed fabrics, and container orchestration.
• Partner with Account Executives as the technical executive on strategic enterprise opportunities with long sales cycles and multi-million-dollar ACV/TCV.
• Use MEDDPICC or equivalent structured qualification to map decision criteria, identify economic buyers, and create technical win plans with champions.
• Architect solutions across compute, networking, storage, and orchestration; deliver sizing, capacity plans, and TCO comparisons with public clouds and self-built alternatives.
• Design and lead POVs and POCs, define success criteria, run performance benchmarks, and use results to support commercial momentum.
• Provide structured product, capacity, and feature requirements to product management, engineering, and supply planning teams.
• Work with the NVIDIA field ecosystem on its Cloud Partner program, reference architectures, and joint pursuits.
• Influence roadmap prioritization, packaging, and go-to-market strategy using field feedback.

What This Job Offers

• Job Type: Full-time
• Career Level: Executive
• Education Level: No Education Listed