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

Added
33 minutes ago
Type
Full time
Salary
Salary not provided

Related skills

sales cloud kubernetes pytorch machine learning

📋 Description

  • Build and lead the SE / Solutions Architect team, hire, coach, retain a team of sales engineers
  • Build reusable machinery: discovery frameworks, reference architectures, TCO/benchmark models, POV
  • Set and hold a technical quality bar across the team; run enablement so every SE can speak credibly
  • Partner with Account Executives as the technical lead on strategic and enterprise opportunities
  • Run qualification with a real methodology (MEDDPICC or equivalent) — surface economic buyer
  • Architect solutions across compute, networking, storage, and orchestration; produce sizing

🎯 Requirements

  • Real, hands-on AI/ML infrastructure experience: actually run or stood up ML workloads — distributed
  • Practical fluency in training and inference lifecycle: data pipelines, distributed training
  • Comfortable in frameworks and tooling customers use: PyTorch and ecosystem (NCCL, CUDA-level
  • Deep knowledge of NVIDIA platform and GPU products: Hopper and Blackwell generations (H100/H200
  • Networking fluency: NVLink/NVSwitch domains, InfiniBand (Quantum) vs. Spectrum-X Ethernet fabrics
  • Software and platform layer: NVIDIA AI Enterprise, NIM, NeMo, Triton / TensorRT-LLM, Base Command

🎁 Benefits

  • Work with an established Silicon Valley leader in the cloud infrastructure industry
  • Work with exceptionally passionate, talented and engaging colleagues, helping Fortune 500 and
  • Be a part of cutting-edge, open-source innovation
  • Thrive in the high-energy environment of a young company where openness, collaboration
  • Professional development and training
  • Attend conferences and working groups
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