Senior Manager, Sales Engineering – AI, GPU Cloud
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Job Description
Sales engineering leader building teams and technical wins for Mirantis' Kubernetes-native AI infrastructure and GPU cloud business. Architecting large-scale NVIDIA solutions and closing complex enterprise deals.
Responsibilities:
- Lead and build the sales engineering and solutions architecture team
- Hire, coach, and retain sales engineers and solutions architects
- Define the pre-sales operating model as the organization scales
- Build discovery frameworks, reference architectures, TCO/benchmark models, POV playbooks, demo and benchmark environments, and RFP response libraries
- Set and maintain the team's technical quality bar
- Run enablement on GPU architecture, networking, and orchestration
- Partner with Account Executives as technical lead on strategic and enterprise opportunities from discovery through technical close
- Run qualification using MEDDPICC or an equivalent methodology
- Architect solutions across compute, networking, storage, and orchestration
- Produce sizing, capacity plans, and TCO comparisons against hyperscalers and self-build alternatives
- Design and drive POCs/POVs, define success criteria, run benchmarks, and convert results into commercial momentum
- Feed product and capacity requirements to product, platform, and supply/capacity planning teams
- Work with NVIDIA field and partner ecosystem on reference architectures and joint pursuits
- Influence product roadmap and packaging based on field insights
Requirements:
- Hands-on experience running or standing up distributed training and/or production inference ML workloads
- Practical fluency in data pipelines, distributed training, fine-tuning, and serving
- Understanding of interconnect, memory bandwidth, I/O, and scheduling bottlenecks
- Experience with PyTorch, NCCL, CUDA-level concepts, containers, and schedulers
- Deep knowledge of NVIDIA compute platforms, including Hopper and Blackwell generations, H100/H200, GB200 NVL72, B200-class systems, Grace-Hopper, DGX, HGX, and MGX
- Knowledge of NVLink/NVSwitch, InfiniBand, Spectrum-X Ethernet, RDMA/RoCE, and DPUs
- Knowledge of NVIDIA AI Enterprise, NIM, NeMo, Triton/TensorRT-LLM, Base Command, Run:ai, GPU orchestration, and the NGC ecosystem
- Understanding of the NVIDIA Cloud Partner motion and co-selling with NVIDIA
- Track record supporting complex B2B deals with 6–18+ month cycles and large ACV/TCV
- Experience navigating ML/infra, platform engineering, procurement, finance, security, and executive stakeholders
- Ability to build and defend TCO/ROI models against hyperscaler and on-premises alternatives
- Proven experience hiring, developing, and leading a sales engineering or solutions architecture team, or clearly demonstrated readiness to do so
- Strongly preferred: experience selling GPU cloud, HPC, or specialized infrastructure
- Preferred: Kubernetes, GPU operators/device plugins, Slurm, multi-cluster management, virtualized GPU/KubeVirt-style patterns, high-throughput parallel/object storage, data center economics, and sovereign/regulated/government AI buyers
Benefits:
- Professional development and training
- Conference and working group attendance
- Company outings, happy hours, hackathons, and tech talks
- Competitive compensation package with a strong benefits plan
- Remote work availability
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