6 days ago
Remote, United StatesStaff+
Responsibilities
- Hire, coach, and retain a global team of Solutions Architects and Field Engineers.
- Establish the global pre-sales operating model and create reusable discovery frameworks, reference architectures, TCO and benchmark models, POV playbooks, and RFP response libraries.
- Lead technical strategy and architecture for strategic enterprise opportunities with long sales cycles and multi-million-dollar ACV/TCV.
- Partner with Account Executives to qualify opportunities, map decision criteria, identify economic buyers, and build technical win plans.
- Architect end-to-end solutions across compute, networking, storage, and orchestration, including sizing, capacity plans, and TCO comparisons.
- Design and drive POVs and POCs by defining success criteria, running performance benchmarks, and converting results into commercial momentum.
- Provide product, capacity, and feature feedback to product management, engineering, and supply-planning teams.
- Partner with the NVIDIA field ecosystem on cloud partnerships, reference architectures, and joint pursuits.
- Influence roadmap prioritization, packaging, and go-to-market strategy based on field intelligence.
Requirements
- Proven track record leading technical sales in complex B2B environments, preferably involving multi-year committed-capacity or reserved-capacity deals.
- Experience hiring, developing, and leading Solutions Architecture or Field Engineering teams while maintaining hands-on technical depth.
- Hands-on experience standing up or operating production ML workloads, including distributed training and multi-node inference.
- Deep understanding of performance bottlenecks involving interconnects, memory bandwidth, I/O, and cluster scheduling.
- Fluency with NVIDIA Hopper and Blackwell architectures, including H100, H200, GB200 NVL72, and B200, as well as DGX, HGX, and MGX reference systems.
- Deep understanding of NVLink, NVSwitch, InfiniBand, Spectrum-X Ethernet, RDMA, RoCE, and DPUs.
- Preferred experience in pre-sales or infrastructure leadership at a NeoCloud, hyperscaler AI organization, or accelerated-hardware vendor.
- Hands-on experience with Kubernetes GPU operators and device plugins, KubeVirt, Metal3, Ironic bare-metal provisioning, and Slurm.
- Familiarity with high-throughput parallel and object storage systems for AI pipelines and data-center physical constraints such as power, cooling, and rack density.
Tech Stack
Categories
Solutions Engineering
About Mirantis
Mirantis builds Kubernetes-native infrastructure software and services for enterprises to run cloud, container, and AI workloads across on-premises, public cloud, and edge environments. It sells subscriptions, support, and managed services around products like Mirantis Kubernetes Engine and the Lens Kubernetes platform; the company acquired Docker Enterprise in 2019. Founded in 1999 and headquartered in Campbell, California, Mirantis is privately held and an IREN company serving global enterprises.