This is a rare opportunity to:
Have a direct impact on AI performance and GPU efficiency at scale
Combine deep technical thinking with product ownership
Own product decisions that influence real-world system behavior
As a Product Manager, you will define how next-generation AI workloads interact with high-performance storage and networking systems.
This is a deep-tech product role at the core of our platform, where your decisions directly impact performance, scalability, and efficiency across large-scale AI environments.
Youll operate at the intersection of product, distributed systems, and hardware-aware infrastructure – shaping how modern data platforms are built and optimized.
What You'll Do:
Define and execute product strategy for 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 solving cutting-edge challenges
Product Manager in infrastructure / platform / deep-tech domains
Software Engineer or Architect who transitioned into product
Sales Engineer highly experienced with storage, networking, or distributed systems
Your Experience Includes
Experience in one or more of the following:
Storage systems (e.g., NVMe, SSDs, RAID)
Networking / high-performance protocols (e.g., RDMA, DPDK)
Distributed systems / infrastructure platforms
Ability to work closely with engineering on complex technical challenges
Strong communication skills – able to bridge technical and non-technical stakeholders
Experience driving product decisions in fast-paced environments
Nice to Have :
Familiarity with technologies like RDMA (InfiniBand, RoCE), GPUDirect Storage, or kernel-bypass networking
Understanding of performance optimization (latency, throughput, IOPS)
Experience with large-scale data or AI infrastructure
