Product Manager – AI Performance & GPU Efficiency

About the role

WEKA is looking for a Product Manager to shape how next‑generation AI workloads interact with high‑performance storage and networking systems. This deep‑tech role sits at the intersection of product, distributed systems, and hardware‑aware infrastructure, influencing performance, scalability, and efficiency at scale.

Key responsibilities

• Define and execute product strategy for WEKA’s platform and infrastructure layer.
• Own the product roadmap, balancing innovation, performance, and customer needs.
• Collaborate closely with engineering to design and deliver high‑performance capabilities.
• Translate complex technical challenges into clear product decisions and priorities.
• Partner with customers and internal teams to understand real‑world use cases and constraints.
• Stay ahead of trends in storage, networking, and distributed systems.
• Work with top engineers, architects, and customers on cutting‑edge challenges.

Required profile

• Product thinker with a strong technical foundation who enjoys deep system work.
• Background as a Product Manager in infrastructure/platform/deep‑tech, or as a Software Engineer/Architect, or a Sales Engineer experienced in storage, networking, or distributed systems.
• Ability to work closely with engineering on complex technical challenges.
• Strong communication skills to bridge technical and non‑technical stakeholders.
• Experience driving product decisions in fast‑paced environments.

Required skills

• Storage systems experience (NVMe, SSDs, RAID).
• High‑performance networking protocols (RDMA, DPDK).
• Distributed systems and infrastructure platforms.
• Familiarity with RDMA technologies (InfiniBand, RoCE), GPUDirect Storage, or kernel‑bypass networking.
• Understanding of performance optimization (latency, throughput, IOPS).
• Experience with large‑scale data or AI infrastructure.