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Mirantis is hiring a Head of Solutions Architecture to lead the technical pre-sales organization for k0rdent AI, a declarative control plane that transforms raw GPU hardware into multi-tenant, production-ready AI clouds without vendor lock-in.
In this executive role, you will own three major areas:
**Build & Scale the Pre-Sales Engine (40%):** Hire and coach a world-class team of Solutions Architects and Field Engineers, establishing the global pre-sales operating model as the organization scales. You'll build reusable field assets including discovery frameworks, reference architectures, TCO/benchmark models, POV playbooks, and RFP response libraries. You'll set a high technical quality bar and run enablement so every SA can credibly discuss GPU architecture, high-speed fabrics, and container orchestration.
**Own the Technical Win in Strategic Deals (40%):** Partner with Account Executives as the technical executive on strategic enterprise opportunities with long sales cycles (6–18+ months) and multi-million-dollar ACV/TCV. You'll execute structured qualification (MEDDPICC or equivalent) to map decision criteria and build win plans. You'll architect end-to-end solutions across compute, networking, storage, and orchestration, delivering sizing, capacity plans, and TCO comparisons. You'll design and drive POVs/POCs with strict success criteria, performance benchmarks, and commercial conversion.
**Serve as the Technical Voice of the Customer (20%):** Feed structured product, capacity, and feature requirements directly to product management, engineering, and supply planning. Partner with the NVIDIA field ecosystem (Cloud Partner program, reference architectures, joint pursuits) to win strategic accounts. Influence roadmap prioritization, packaging, and GTM strategy based on real-world field feedback.
This is not a demo role—you will be an executive technical partner to NeoClouds, AI-native startups, enterprise AI teams, research labs, and sovereign buyers, leading high-stakes architecture debates on interconnect topologies and building TCO models that challenge hyperscaler economics.
**Requirements:**
- Proven track record leading technical sales in complex B2B environments, ideally with multi-year committed-capacity or reserved-capacity deal structures
- Track record of hiring, developing, and leading Solutions Architecture or Field Engineering teams, with the technical depth to lead the room on hard deals while scaling others
- Hands-on AI/ML infrastructure experience: have stood up or operated production ML workloads (distributed training and multi-node inference) and deeply understand performance bottlenecks across interconnect, memory bandwidth, I/O, and cluster scheduling
- Fluency across NVIDIA Hopper and Blackwell architectures (H100/H200, GB200 NVL72, B200) and reference systems (DGX, HGX, MGX)
- Deep understanding of NVLink/NVSwitch domains, InfiniBand, Spectrum-X Ethernet, RDMA/RoCE, and DPUs
**Strongly Preferred:**
- Pre-sales or infrastructure leadership experience at a NeoCloud, hyperscaler AI organization, or accelerated-hardware vendor
- Hands-on experience with cloud-native orchestration for AI: Kubernetes (GPU operators, device plugins), KubeVirt, Metal3/Ironic bare-metal provisioning, and Slurm
- Familiarity with high-throughput parallel/object storage systems for AI pipelines and data center physical constraints (power, cooling, rack density)
