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

Added
4 days ago
Type
Full time
Salary
Salary not provided

Related skills

kubernetes pytorch cuda tensorrt gpu

📋 Description

  • Build and lead the SE/solutions architect team to win technical deals involving GPU AI
  • Own the technical win in large, complex opportunities from discovery through close.
  • Develop reusable discovery frameworks, reference architectures, TCO models, POV playbooks, and
  • Set and enforce a technical quality bar across the team; enable credibility on GPU, networking, and
  • Partner with Account Executives as the technical lead on strategic opportunities; run
  • Architect solutions across compute, networking, storage, and orchestration; drive POCs/POVs to

🎯 Requirements

  • Hands-on AI/ML infrastructure experience with distributed training and production inference.
  • Fluency in ML lifecycle: data pipelines, multi-node multi-GPU training, fine-tuning, serving; know
  • Proficiency with PyTorch ecosystem, NCCL, CUDA concepts, containers, schedulers.
  • Deep NVIDIA platform knowledge (Hopper/Blackwell, DGX/HGX/MGX) and networking: NVLink/NVSwitch
  • Enterprise sales engineering experience on long sales cycles with large ACV/TCV; can build and
  • Proven team leadership with experience hiring, coaching, and enabling SE/solutions architecture

🎁 Benefits

  • Remote or hub-based location with meaningful travel to customers and events.
  • Competitive compensation with base salary, variable bonus tied to bookings, and equity.
  • Professional development, conferences, hackathons, and a collaborative, open culture.
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