About The Position

Mirantis is hiring a Head of Solutions Architecture to lead the technical win for k0rdent AI, its declarative control plane for managing heterogeneous GPU infrastructure. The role will build the pre-sales organization from the ground up, set architecture strategy for high-value, long-cycle compute deals, and serve as an executive technical partner to NeoClouds, AI-native startups, enterprise AI teams, research labs, and sovereign buyers. The position involves leading architecture discussions on interconnect topologies, developing TCO models, creating reusable pre-sales processes and assets, and shaping the product roadmap through field feedback. The role is organized around three areas: building and scaling the pre-sales engine (40%), owning the technical win in strategic deals (40%), and serving as the technical voice of the customer (20%). The leader will develop a global operating model, hire and coach Solutions Architects and Field Engineers, partner with Account Executives on strategic opportunities, architect end-to-end infrastructure solutions, lead POVs and POCs, and work with product, engineering, supply planning, and NVIDIA ecosystem partners.

Requirements

  • 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 deal 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

  • 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, 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 and data center physical constraints such as 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 the organization and deal volume scale.
  • Build reusable field assets, including discovery frameworks, reference architectures, TCO and benchmark models, POV playbooks, and RFP response libraries.
  • Set technical quality standards and run enablement so Solutions Architects can speak credibly about 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.
  • Qualify opportunities using MEDDPICC or an equivalent approach, map decision criteria, identify economic buyers, and develop technical win plans with champions.
  • Architect end-to-end solutions across compute, networking, storage, and orchestration; provide sizing, capacity plans, and TCO comparisons against public clouds and self-built alternatives.
  • Design and lead POVs and POCs, define success criteria, run performance benchmarks, and turn results into commercial momentum.
  • Provide structured product, capacity, and feature requirements to product management, engineering, and supply planning teams.
  • Partner 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.
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service