Senior Manager, Sales Engineering - AI / GPU Cloud (NeoCloud)

About the role

Mirantis, an IREN company, is the Kubernetes-native AI infrastructure company behind K0rdent AI, which turns raw GPU infrastructure into a multi-tenant AI cloud. This Senior Manager, Sales Engineering role builds and leads the pre-sales function that sells GPU clusters, bare metal and managed AI infrastructure to Neoclouds, AI-native startups, enterprise teams, research labs and regulated buyers. It is a technical, long-cycle role focused on winning credibility and closing multi-year committed-capacity contracts.

Key responsibilities

• Lead and build the sales engineering and solutions architect team, hiring, coaching and retaining people, and define the pre-sales operating model as the organization grows.
• Build reusable tools: discovery frameworks, reference architectures, TCO/benchmark models, POV playbooks, demo and benchmark environments, and RFP response libraries.
• Set a technical quality bar, run enablement, and act as the technical lead on strategic, enterprise deals from discovery through technical close.
• Run qualification using MEDDPICC or an equivalent method, surface the economic buyer, decision criteria and technical champion, and build the win plan.
• Architect solutions across compute, networking, storage and orchestration, design POCs/POVs, and feed product and capacity requirements back to product, platform and supply planning.
• Work with the NVIDIA field and partner ecosystem, and influence roadmap and packaging based on field insights.

Required profile

• Hands-on experience running or standing up ML workloads, including distributed training and production inference, with practical fluency in the training and inference lifecycle.
• Proven team leadership: hired, developed and led a sales engineering or solutions architecture team, including building process and enablement from a light or greenfield start.
• Enterprise sales engineering track record on long, high-value deals (6-18+ months) with large ACV/TCV, ideally including multi-year committed or reserved capacity.
• Strongly preferred: experience selling GPU cloud, HPC or specialized infrastructure, and exposure to sovereign, regulated or government AI buyers.

Required skills

• Deep knowledge of the NVIDIA platform and GPU products, including Hopper and Blackwell generations, DGX, HGX, MGX and the NVIDIA Cloud Partner motion.
• Networking fluency: NVLink/NVSwitch, InfiniBand (Quantum) vs Spectrum-X Ethernet, RDMA/RoCE, DPUs.
• Software and platform layer: NVIDIA AI Enterprise, NIM, NeMo, Triton / TensorRT-LLM, Base Command, Run:ai, GPU orchestration and NGC.
• Preferred: Kubernetes and GPU operators, Slurm, virtualized GPU patterns, storage-for-AI, and data center economics (power, cooling, rack density).

What we offer

• Work with an established Silicon Valley leader in cloud infrastructure, with professional development, training and conference attendance.
• Competitive compensation with a strong benefits plan.