Principal Technical Product Manager (Hardware & AI Infrastructure)

Location: AMER

Company

Nscale develops hardware infrastructure and deployment products for large-scale AI workloads.

What you will do

• Define multi-generation GPU and compute hardware roadmaps, product requirements, reference architectures, configurations, performance targets, and lifecycle strategies.
• Partner with engineering, supply chain, OEMs, ODMs, and technology partners through NPI, qualification, production readiness, and deployment.
• Engage AI customers and strategic partners to understand workloads, technical requirements, performance priorities, and future infrastructure needs.
• Define requirements and priorities for internal deployment software, automation, and tooling used by deployment engineers and operations teams.
• Develop TCO models, business cases, pricing inputs, and financial analyses for hardware platforms and architecture alternatives.
• Lead cross-functional decisions and communicate roadmaps, trade-offs, risks, and recommendations to executives and external partners.

Requirements

• 8+ years of experience in technical product management, hardware product management, infrastructure engineering, systems engineering, or a related field.
• Strong understanding of server and data-center infrastructure, including compute, accelerators, networking, storage, hardware architecture, power, cooling, and platform lifecycle.
• Experience defining products, building roadmaps, evaluating technical alternatives, and making strategic decisions with incomplete information.
• Experience with TCO modeling, financial analysis, product economics, pricing, or cost/performance optimization.
• Strong customer, partner, communication, presentation, and cross-functional leadership skills, including the ability to influence without direct authority.
• Bachelor’s degree in Computer Science, Electrical Engineering, Computer Engineering, or a related field, or equivalent practical experience.

Nice to have

• Experience with GPU infrastructure, accelerated computing, HPC, AI/ML systems, or rack-scale infrastructure.
• Experience at a hyperscaler, AI infrastructure provider, major hardware company, or large-scale cloud or data-center operator.
• Experience working with silicon partners, OEMs, ODMs, and hardware suppliers through NPI and production deployment.
• Familiarity with NVLink, PCIe, CXL, InfiniBand/RoCE, NVMe, firmware/BMC, and high-density power and cooling.
• Experience with AI/ML research infrastructure, deployment automation, fleet management, or internal infrastructure tooling.

Culture & Benefits

• Work across engineering, operations, supply chain, finance, commercial teams, customers, executives, and strategic technology partners.
• Own a meaningful portion of the hardware portfolio and influence infrastructure strategy, economics, customer experience, and deployment at scale.
• Operate across hardware product strategy, software tooling, customer leadership, and business decision-making.