Senior Manager, Sales Engineering – AI, GPU Cloud

This is a fully remote position, open to applicants in California.

📋 Description

• Lead and develop the sales engineering and solutions architecture team.

• Recruit, mentor, and retain sales engineers and solutions architects.

• Establish the pre-sales operating model as the organization grows.

• Create discovery frameworks, reference architectures, TCO/benchmark models, POV playbooks, demo and benchmark environments, and RFP response libraries.

• Set and uphold the team's technical quality standards.

• Conduct training on GPU architecture, networking, and orchestration.

• Collaborate with Account Executives as the technical lead on strategic and enterprise opportunities from discovery to technical closure.

• Execute qualification using MEDDPICC or a similar methodology.

• Design solutions across compute, networking, storage, and orchestration.

• Generate sizing, capacity plans, and TCO comparisons against hyperscalers and self-build alternatives.

• Develop and manage POCs/POVs, determine success criteria, conduct benchmarks, and transform results into commercial traction.

• Provide product and capacity requirements to product, platform, and supply/capacity planning teams.

• Collaborate with NVIDIA field and partner ecosystem on reference architectures and joint initiatives.

• Influence product roadmap and packaging based on field feedback.

⛳️ Requirements

• Hands-on experience in managing or establishing distributed training and/or production inference ML workloads.

• Practical fluency in data pipelines, distributed training, fine-tuning, and serving.

• Knowledge of interconnects, memory bandwidth, I/O, and scheduling bottlenecks.

• Familiarity with PyTorch, NCCL, CUDA-level concepts, containers, and schedulers.

• In-depth knowledge of NVIDIA compute platforms, including Hopper and Blackwell generations, H100/H200, GB200 NVL72, B200-class systems, Grace-Hopper, DGX, HGX, and MGX.

• Understanding 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.

• Familiarity with the NVIDIA Cloud Partner motion and co-selling with NVIDIA.

• Proven track record in supporting complex B2B deals with 6–18+ month cycles and large ACV/TCV.

• Experience in navigating ML/infra, platform engineering, procurement, finance, security, and executive stakeholders.

• Ability to create and defend TCO/ROI models against hyperscaler and on-premises options.

• Demonstrated experience in hiring, developing, and leading a sales engineering or solutions architecture team, or a clear readiness to do so.

• Strongly preferred: experience in selling GPU cloud, HPC, or specialized infrastructure.

• Preferred: knowledge of 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

• Opportunities for professional development and training.

• Attendance at conferences and working groups.

• Company outings, happy hours, hackathons, and tech talks.

• Competitive compensation package along with a robust benefits plan.

• Availability of remote work options.