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 framework and create reusable discovery, architecture, TCO, benchmark, POV, demo, and RFP processes.

• Set and uphold technical quality benchmarks and conduct enablement initiatives.

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

• Execute MEDDPICC or a similar qualification process and formulate technical win strategies.

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

• Generate sizing, capacity plans, and TCO analyses against hyperscalers and in-house alternatives.

• Create and implement proofs of concept and value, including benchmarks and success criteria.

• Communicate product and capacity needs to product, platform, and supply/capacity planning teams.

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

• Influence the product roadmap and packaging based on field insights.

• Travel significantly to engage with customers, data centers, and NVIDIA/partner events.

⛳️ Requirements

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

• Practical knowledge of data pipelines, distributed training, fine-tuning, and serving.

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

• Proficient in PyTorch and related tools, including NCCL, CUDA concepts, containers, and schedulers.

• In-depth knowledge of NVIDIA compute platforms, including Hopper and Blackwell generations, as well as DGX, HGX, and MGX systems.

• Familiarity with 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 NGC.

• Understanding of the NVIDIA Cloud Partner strategy and co-selling initiatives.

• Proven track record in supporting complex B2B sales cycles lasting between 6–18+ months with significant ACV/TCV.

• Experience with multi-stakeholder enterprise sales involving technical, procurement, finance, security, and executive participants.

• Ability to construct and defend TCO/ROI models while translating benchmarks into commercial value.

• Experience in hiring, developing, and leading a sales engineering or solutions architecture team, or demonstrating readiness to do so.

• Player-coach mentality and credibility in complex technical transactions.

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

• Strongly preferred: knowledge of Kubernetes, GPU operators/device plugins, Slurm, multi-cluster management, and virtualized GPU/KubeVirt patterns.

• Strongly preferred: understanding of storage-for-AI, data-center economics, and experience with sovereign, regulated, or government AI buyers.

🏝️ Benefits

• Competitive compensation package with an attractive benefits plan.

• Opportunities for professional development and training.

• Participation in conferences and working groups.

• Company outings.

• Happy hours.

• Hackathons.

• Tech talks.

• Option for remote work.

• Equity opportunities.

• Variable compensation linked to team bookings and achievements.