Senior Manager, Sales Engineering – AI / GPU Cloud

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🏄 California – Remote

🏄 California – Remote

⏰ Full Time

🟠 Senior

💸 Sales Engineer

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Mirantis

WebsiteLinkedInAll Job Openings

501 - 1000 employees

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

Mirantis is a company that specializes in container management and cloud infrastructure solutions. It offers a range of products, including Mirantis Kubernetes Engine (MKE), Mirantis OpenStack for Kubernetes (MOSK), and Mirantis Container Cloud (MCC), which provide enterprise-level Kubernetes and container management platforms. Mirantis also develops tools for secure software supply chains, such as the Mirantis Container Runtime (MCR) and Mirantis Secure Registry (MSR). As an advocate for open source technologies, Mirantis supports various projects and provides resources like Lens Desktop, a popular Kubernetes IDE, and technical support for enterprises adopting cloud-native technologies. Their solutions cater to sectors such as public services, financial services, and broader SaaS and technology services industries.

📋 Description

• Lead and build the sales engineering and solutions architecture team • Hire, coach, and retain sales engineers and solutions architects • Define the pre-sales operating model and build reusable discovery, architecture, TCO, benchmark, POV, demo, and RFP processes • Set and maintain technical quality standards and run enablement • Partner with Account Executives as technical lead on strategic and enterprise opportunities from discovery through technical close • Run MEDDPICC or equivalent qualification and develop technical win plans • Architect solutions across compute, networking, storage, and orchestration • Produce sizing, capacity plans, and TCO comparisons against hyperscalers and self-build alternatives • Design and drive proofs of concept and proofs of value, including benchmarks and success criteria • Feed product and capacity requirements to product, platform, and supply/capacity planning teams • Work with NVIDIA field and partner ecosystems on reference architectures and joint pursuits • Influence product roadmap and packaging based on field experience • Travel meaningfully to customers, data centers, and NVIDIA/partner events

🎯 Requirements

• Hands-on experience running or standing up distributed training and/or production inference ML workloads • Practical fluency across data pipelines, distributed training, fine-tuning, and serving • Understanding of interconnect, memory bandwidth, I/O, and scheduling bottlenecks • Proficiency with PyTorch and related tooling, including NCCL, CUDA concepts, containers, and schedulers • Deep knowledge of NVIDIA compute platforms, including Hopper and Blackwell generations and DGX, HGX, and MGX systems • Knowledge 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, GPU orchestration, and NGC • Understanding of the NVIDIA Cloud Partner motion and co-selling • Track record supporting complex B2B sales cycles of 6–18+ months with large ACV/TCV • Experience with multi-stakeholder enterprise sales involving technical, procurement, finance, security, and executive stakeholders • Ability to build and defend TCO/ROI models and translate benchmarks into commercial value • Experience hiring, developing, and leading a sales engineering or solutions architecture team, or clear readiness to do so • Player-coach mindset and credibility in complex technical deals • Strongly preferred: experience selling GPU cloud, HPC, or specialized infrastructure • Strongly preferred: Kubernetes, GPU operators/device plugins, Slurm, multi-cluster management, and virtualized GPU/KubeVirt patterns • Strongly preferred: storage-for-AI literacy, data-center economics, and exposure to sovereign, regulated, or government AI buyers

🏖️ Benefits

• Competitive compensation package with a strong benefits plan • Professional development and training • Attend conferences and working groups • Company outings • Happy hours • Hackathons • Tech talks • Remote work option • Equity • Variable compensation tied to team bookings/attainment