Director, Product Management – AI Infrastructure & NVIDIA Alliance

WEKA develops intelligent mesh storage systems for AI and accelerated compute workflows. The Director of Product Management – AI Infrastructure & NVIDIA Alliance will lead the technical strategy and execution of strategic AI infrastructure alliances, architect integrated solutions across compute, storage, networking, and software, and drive joint roadmaps, validation, and field enablement.

Responsibilities:

• Define and own the technical vision for end-to-end accelerated computing solutions in collaboration with strategic partners
• Architect integrated “better together” reference designs spanning GPUs, interconnects, storage, networking, and software layers
• Drive technical alignment across engineering, product management, field CTOs, and partner solution architects
• Ensure joint solutions are performance-optimized, validated, and ready for enterprise-scale deployment
• Provide deep subject-matter expertise across the AI infrastructure stack, including: Accelerated compute (GPUs, DPUs, CPU offload architectures) High-performance storage architectures High-speed networking (e.g., RDMA, InfiniBand, Ethernet fabrics) AI/ML frameworks and data pipelines
• Translate emerging AI workload requirements into joint architectural roadmaps
• Guide performance benchmarking, solution validation, and technical field enablement
• Lead the technical relationship for one or more high-profile partners, serving as executive-level technical counterpart
• Develop and execute joint technical roadmaps aligned with corporate strategy
• Coordinate co-development initiatives, reference architectures, solution briefs, and joint GTM readiness
• Represent the company in executive briefings, partner summits, and industry forums
• Partner with sales and marketing to articulate the differentiated value of integrated solutions
• Support strategic customer engagements requiring architectural leadership
• Enable field teams with validated designs, performance data, and competitive positioning
• Contribute to thought leadership in AI infrastructure and accelerated computing

Requirements:

• Technical B.S. degree in Computer Science, Electrical Engineering, or related discipline
• 10+ years of experience in AI infrastructure, data center systems, storage, or networking
• Demonstrated experience managing high-profile technical alliances with hyperscalers, semiconductor vendors, or infrastructure partners
• Strong architectural understanding of the AI infrastructure stack (compute, storage, networking, software)
• Proven ability to define and drive cross-company technical roadmaps
• Based in Silicon Valley / Bay Area, with ability to work closely with partner ecosystems
• Architecturally rigorous and systems-oriented thinker
• Executive presence with the ability to influence both internal and external stakeholders
• Comfortable operating at the intersection of engineering depth and strategic business impact
• High ownership mindset with strong cross-functional collaboration skills
• Direct experience collaborating with NVIDIA on joint solutions, integrations, or co-engineering efforts
• Deep proficiency in either enterprise storage architectures or high-performance networking technologies
• Experience with large-scale AI training and inference environments
• Prior experience in a senior technical leadership role