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WekaIO

AI-native data platform for high-performance workloads

Director – Product Management - AI Infrastructure & NVIDIA Alliance

Business Development & PartnershipsConfirmed live in the last 24 hours
Full-time$270k - $325k

About the Job

Requirements

  • A technical Bachelor of Science degree in Computer Science, Electrical Engineering, or a related discipline is required.
  • At least 10 years of experience in AI infrastructure, data center systems, storage, or networking is required.
  • Demonstrated experience managing high-profile technical alliances with hyperscalers, semiconductor vendors, or infrastructure partners is required.
  • A strong architectural understanding of the AI infrastructure stack, including compute, storage, networking, and software, is required.
  • The candidate must be able to define and drive cross-company technical roadmaps.
  • The candidate must be based in Silicon Valley / Bay Area and able to work closely with partner ecosystems.
  • The candidate should have architectural rigor and a systems-oriented approach.
  • The candidate must have executive presence and the ability to influence internal and external stakeholders at the intersection of engineering depth and strategic business impact.
  • The candidate must demonstrate ownership and cross-functional collaboration.

Responsibilities

  • Define and own the technical vision for end-to-end accelerated computing solutions with strategic partners.
  • Architect integrated reference designs spanning GPUs, interconnects, storage, networking, and software.
  • 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 subject-matter expertise across accelerated compute, including GPUs, DPUs, and CPU offload architectures; high-performance storage architectures; high-speed networking such as RDMA, InfiniBand, and 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 technical relationships with one or more high-profile partners as an executive-level technical counterpart.
  • Develop and execute joint technical roadmaps aligned with corporate strategy.
  • Coordinate co-development initiatives, reference architectures, solution briefs, and joint go-to-market 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 that require architectural leadership.
  • Enable field teams with validated designs, performance data, and competitive positioning.
  • Contribute thought leadership in AI infrastructure and accelerated computing.

Desired Qualifications

  • Direct experience collaborating with NVIDIA on joint solutions, integrations, or co-engineering efforts.
  • Deep proficiency in 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.

About the Company

WekaIO

AI-native data platform for high-performance workloads

WEKA is an AI-native data platform that provides a cloud- and hardware-agnostic software solution for performance-heavy AI, ML, and GPU workloads. The WEKA Data Platform organizes and speeds data across on-premises, cloud, edge, and hybrid environments to turn isolated data into dynamic pipelines. It delivers high throughput and scalable data management to support enterprise AI initiatives and research workloads, helping teams gain faster insights. WEKA differentiates itself with a single scalable platform that works across multiple infrastructure footprints and emphasizes energy efficiency, aiming to simplify and accelerate data-driven AI workflows for large enterprises and research groups while replacing legacy data silos.

Company size
501-1,000
Company stage
Series E
Total funding
$465.1M
Headquarters
Campbell, CA
Founded
2013

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