Senior Manager, Sales Engineering – AI, GPU Cloud
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Job Description
Sales engineering leader building Mirantis’s GPU cloud go-to-market function. Architecting AI infrastructure solutions and closing complex, multi-year enterprise capacity 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 technical quality standards and run team enablement
- 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 learnings
Requirements:
- Hands-on AI/ML infrastructure experience running or standing up distributed training and/or production inference workloads
- Practical fluency in data pipelines, distributed training, fine-tuning, and serving
- Experience with PyTorch, NCCL, CUDA-level concepts, containers, and schedulers
- Deep knowledge of NVIDIA compute platforms, including Hopper and Blackwell generations and DGX, HGX, and MGX systems
- 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, and NGC
- Understanding of the NVIDIA Cloud Partner motion and co-selling with NVIDIA
- Track record supporting complex B2B deals with 6–18+ month sales cycles and large ACV/TCV
- Experience with multi-year committed-capacity or reserved-capacity structures preferred
- Ability to navigate 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 clear readiness to do so
- Player-coach mindset
- GPU cloud, HPC, specialized infrastructure, cloud-native AI orchestration, Kubernetes, GPU operators/device plugins, Slurm, storage-for-AI, data-center economics, sovereign/regulated/government AI buyer experience preferred or advantageous
Benefits:
- Professional development and training
- Attend conferences and working groups
- Company outings, happy hours, hackathons, and tech talks
- Competitive compensation package with a strong benefits plan
- Remote work option
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