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WEKA is a pre-IPO, growth-stage company redefining the enterprise data stack for the age of AI. The platform enables advanced organizations to run high-performance workloads—from large-scale model training to real-time inference—faster and more efficiently. The company has raised $375M in capital and serves 12 of the Fortune 50, along with leading research organizations.
This is a deep-tech product role at the core of WEKA's platform, operating at the intersection of product, distributed systems, and hardware-aware infrastructure. You will define how next-generation AI workloads interact with high-performance storage and networking systems, with decisions that directly impact performance, scalability, and efficiency across large-scale AI environments.
Key responsibilities include:
- Define and execute product strategy for WEKA's platform and infrastructure layer
- Own the product roadmap, balancing innovation, performance, and customer needs
- Work 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
- Collaborate with top engineers, architects, and customers on cutting-edge challenges
You will have direct impact on AI performance and GPU efficiency at scale, combining deep technical thinking with product ownership to influence real-world system behavior.
REQUIREMENTS:
- Experience in one or more of: storage systems (NVMe, SSDs, RAID), networking/high-performance protocols (RDMA, DPDK), or distributed systems/infrastructure platforms
- 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
- Background as: Product Manager in infrastructure/platform/deep-tech domains, Software Engineer or Architect who transitioned into product, or Sales Engineer with expertise in storage, networking, or distributed systems
NICE TO HAVE:
- Familiarity with RDMA (InfiniBand, RoCE), GPUDirect Storage, or kernel-bypass networking
- Understanding of performance optimization (latency, throughput, IOPS)
- Experience with large-scale data or AI infrastructure
