VP of Presales Solutions Architecture - AI Infrastructure

Mirantis • San Jose, CA

17d

About The Position

Mirantis is hiring a Head of Solutions Architecture to own technical wins, build the pre-sales organization, and lead architecture strategy for high-value AI infrastructure deals. The role focuses on k0rdent AI, a declarative control plane for managing heterogeneous GPU infrastructure and enabling multi-tenant, production-ready AI clouds.

This executive technical partner will work with NeoClouds, AI-native startups, enterprise AI teams, research labs, and sovereign buyers. The role combines building and scaling a pre-sales team and its operating model, leading technical strategy in complex enterprise sales, and translating field intelligence into product and go-to-market direction. Strategic opportunities may have sales cycles of 6–18+ months and multi-million-dollar ACV/TCV.

The position includes hiring, coaching, and retaining Solutions Architects and Field Engineers; creating reusable discovery, architecture, TCO, benchmark, POV, and RFP assets; and establishing technical enablement and quality standards. It also entails qualifying opportunities, developing win plans, designing end-to-end compute, networking, storage, and orchestration solutions, and leading proof-of-value and proof-of-concept efforts. The role serves as a technical voice of the customer and partners with product, engineering, supply planning, and NVIDIA’s field ecosystem.

Requirements

• Pre-sales leadership experience at a NeoCloud, hyperscaler AI organization, or accelerated-hardware vendor.
• A proven track record leading technical sales in complex B2B environments, ideally involving multi-year committed-capacity or reserved-capacity deals.
• Experience hiring, developing, and leading Solutions Architecture or Field Engineering teams, with the technical depth to lead complex customer discussions.
• Hands-on experience standing up or operating production machine-learning workloads, including distributed training and multi-node inference.
• Deep understanding of performance bottlenecks involving interconnect, memory bandwidth, I/O, and cluster scheduling.
• Fluency in 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 the global pre-sales operating model.
• Build reusable field assets, including discovery frameworks, reference architectures, TCO and benchmark models, POV playbooks, and RFP response libraries.
• Set technical quality standards and enable Solutions Architects to speak credibly about GPU architecture, high-speed fabrics, and container orchestration.
• Partner with Account Executives as the technical executive on strategic enterprise opportunities.
• Qualify opportunities using MEDDPICC or an equivalent methodology, identify decision criteria and economic buyers, and create win plans with technical champions.
• Architect end-to-end solutions across compute, networking, storage, and orchestration, including sizing, capacity plans, and TCO comparisons.
• Define success criteria for POVs and POCs, run performance benchmarks, and turn results into commercial momentum.
• Provide structured product, capacity, and feature requirements to product management, engineering, and supply planning.
• Partner with the NVIDIA field ecosystem on cloud partner programs, reference architectures, and joint pursuits.
• Influence product 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