Requiresd Senior Product Manager
The Role
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 our 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
What You Bring:
Youre a product thinker with a strong technical foundation, who enjoys going deep into complex systems.
You might come from one (or more) of these backgrounds:
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
Requirements: 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.
This position is open to all candidates.