Director, Product Management – AI Infrastructure & NVIDIA Alliance

<p>WEKA is transforming how organizations build, run, and scale AI and accelerated compute workflows with NeuralMesh™, our intelligent, adaptive mesh storage system. Purpose-built for AI, NeuralMesh becomes faster, stronger, and more efficient as workloads scale, maximizing GPU utilization, accelerating time to first token, and lowering the cost of innovation. A growth-stage company, backed by world-class venture capital investors and AI infrastructure leaders, WEKA has earned over 140 patents and is trusted by more than 30% of global Fortune 50 enterprises, as well as leading hyperscalers, AI clouds and agentic AI innovators. We are customer-obsessed and work accountably, boldly, and collaboratively to support their success. If this sounds like the kind of team you're looking for, join us!</p> <p> </p> <p><strong>About The Role</strong></p> <p>We are seeking a Director of Accelerated Computing to lead the technical strategy and execution of high-impact technology alliances focused on AI and accelerated infrastructure. This role will own the end-to-end technical vision for “better together” solutions, ensuring deep integration across the AI infrastructure stack and delivering differentiated joint value propositions to enterprise and cloud customers.This is a high-visibility role at the forefront of accelerated computing and AI infrastructure partnerships, offering the opportunity to shape next-generation integrated solutions within one of the industry’s most dynamic ecosystems.</p> <p>The ideal candidate combines strong architectural depth in AI infrastructure (compute, storage, networking, and software) with demonstrated experience managing complex, high-profile alliances—ideally including direct collaboration with NVIDIA. </p> <p> </p> <p><strong>Key Responsibilities </strong></p> <p><strong> Technical Vision & Solution Architecture </strong></p> <ul> <li>Define and own the technical vision for end-to-end accelerated computing solutions in collaboration with strategic partners. </li> <li> Architect integrated “better together” reference designs spanning GPUs, interconnects, storage, networking, and software layers. </li> <li>Drive technical alignment across engineering, product management, field CTOs, and partner solution architects. </li> <li>Ensure joint solutions are performance-optimized, validated, and ready for enterprise-scale deployment. </li> </ul> <p><strong> AI Infrastructure Stack Leadership </strong></p> <ul> <li>Provide deep subject-matter expertise across the AI infrastructure stack, including: <ul> <li>Accelerated compute (GPUs, DPUs, CPU offload architectures) </li> <li>High-performance storage architectures </li> <li>High-speed networking (e.g., RDMA, InfiniBand, Ethernet fabrics) </li> <li>AI/ML frameworks and data pipelines </li> </ul> </li> <li>Translate emerging AI workload requirements into joint architectural roadmaps. </li> <li>Guide performance benchmarking, solution validation, and technical field enablement.</li> </ul> <p><strong> Strategic Alliance Management </strong></p> <ul> <li>Lead the technical relationship for one or more high-profile partners, serving as executive-level technical counterpart. </li> <li>Develop and execute joint technical roadmaps aligned with corporate strategy.</li> <li>Coordinate co-development initiatives, reference architectures, solution briefs, and joint GTM readiness. </li> <li>Represent the company in executive briefings, partner summits, and industry forums.</li> </ul> <p><strong> Go-to-Market & Field Enablement </strong></p> <ul> <li>Partner with sales and marketing to articulate the differentiated value of integrated solutions</li> <li>Support strategic customer engagements requiring architectural leadership.</li> <li>Enable field teams with validated designs, performance data, and competitive positioning. </li> <li>Contribute to thought leadership in AI infrastructure and accelerated computing. </li> </ul> <p><strong>Qualifications </strong></p> <p><strong>Required </strong></p> <ul> <li>Technical B.S. degree in Computer Science, Electrical Engineering, or related discipline.</li> <li>10+ years of experience in AI infrastructure, data center systems, storage, or networking. </li> <li>Demonstrated experience managing high-profile technical alliances with hyperscalers, semiconductor vendors, or infrastructure partners. </li> <li> Strong architectural understanding of the AI infrastructure stack (compute, storage, networking, software). </li> <li>Proven ability to define and drive cross-company technical roadmaps. </li> <li>Based in Silicon Valley / Bay Area, with ability to work closely with partner ecosystems. </li> </ul> <p><strong>Leadership Profile </strong></p> <ul> <li>Architecturally rigorous and systems-oriented thinker. </li> <li>Executive presence with the ability to influence both internal and external stakeholders. Comfortable operating at the intersection of engineering depth and strategic business impact. </li> <li>High ownership mindset with strong cross-functional collaboration skills. </li> </ul> <p><strong>Preferred </strong>