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Product Network Strategy Solutions - USA

Other Full-time Permanent USA

Job details

Not specified Salary
USA Eligibility
Executive Experience
Full-time Employment

About this role

Role overview This position shapes solution strategy for next-generation AI factory architectures spanning GPU clusters, high-performance networking, and liquid-cooled data center infrastructure. The role bridges product, engineering, customers, and strategic partners, translating market requirements into roadmaps and reference architectures built on technologies like NVIDIA networking stacks, InfiniBand, Ethernet fabrics, and orchestration platforms. It is a senior, customer-facing strategy role for someone who can both design and communicate at scale.

Responsibilities - Develop product and solution strategies for AI infrastructure, GPU clusters, and data center networking environments. - Partner with customers, sales, and engineering to define scalable architectures using NVLink, SuperNICs, DPUs, InfiniBand, and AI factory platforms. - Translate market requirements into roadmaps, technical recommendations, and strategic initiatives. - Serve as a subject matter expert on reference architectures for GPU interconnects, cluster networking, and data center design. - Evaluate emerging trends across AI infrastructure, HPC, liquid cooling, power optimization, and large-scale GPU deployments. - Support executive presentations, solution workshops, customer engagements, and competitive analysis to drive differentiation.

Requirements - Bachelor's or Master's degree in Computer Engineering, Electrical Engineering, Computer Science, or a related field. - 7+ years in product strategy, solutions architecture, network architecture, or technical consulting. - Hands-on experience with NVIDIA DSX, NVLink switch architectures, InfiniBand, Spectrum or Quantum networking, AI factory deployments, or large GPU cluster environments. - Strong understanding of HPC, GPU-based AI infrastructure, storage and compute ecosystems, and data center power and cooling considerations. - Familiarity with Kubernetes, AI workload orchestration, and GPU scheduling, plus experience engaging hyperscalers, cloud providers, or colocation customers. - Excellent communication and stakeholder management skills for executive-level and customer-facing work.

Nice to have - Experience with AI factory design, simulation, digital twins, and operational management platforms. - Prior exposure to product roadmap development and strategic planning cycles.

Benefits and work setup - Remote role based in the USA, with Houston, TX strongly preferred. - Attractive compensation package, hybrid-friendly flexibility, and an international, fast-paced scale-up environment.

Skills detected in the listing

GoStakeholder ManagementKubernetes
Detected Sep 24, 2026
Last verified Sep 24, 2026

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