Senior Manager, Sales Engineering – AI, GPU Cloud

This is a fully remote position, open to applicants in Kazakhstan, +1 more country.

📋 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 technical quality standards while managing team enablement.

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

• Conduct 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 options.

• Design and execute POCs/POVs, define success metrics, conduct benchmarks, and translate results into commercial success.

• 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 insights from the field.

⛳️ Requirements

• Hands-on experience with AI/ML infrastructure managing distributed training and/or production inference workloads.

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

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

• Extensive knowledge of NVIDIA compute platforms, including Hopper and Blackwell generations, and DGX, HGX, and MGX systems.

• Understanding of NVLink/NVSwitch, InfiniBand, Spectrum-X Ethernet, RDMA/RoCE, and DPUs.

• Familiarity with 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.

• Proven experience in supporting complex B2B deals with 6–18+ month sales cycles and significant ACV/TCV.

• Experience with multi-year committed-capacity or reserved-capacity models is preferred.

• Capability to navigate ML/infra, platform engineering, procurement, finance, security, and executive stakeholders.

• Ability to construct and justify TCO/ROI models against hyperscaler and on-premises options.

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

• A player-coach mindset.

• Experience with GPU cloud, HPC, specialized infrastructure, cloud-native AI orchestration, Kubernetes, GPU operators/device plugins, Slurm, storage-for-AI, data-center economics, and experience with sovereign/regulated/government AI buyers is preferred or advantageous.

🏝️ Benefits

• Opportunities for professional development and training.

• Participation in conferences and working groups.

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

• Competitive compensation package with a robust benefits plan.

• Option for remote work.