Own the storage roadmap for k0rdent AI storage across GPU clusters.
Define how parallel file systems, object stores, and tiering are used for training/inference.
Collaborate with engineering, marketing, and field teams to shape product.

🎯 Requirements

5+ years in product management or senior technical role owning storage.
Hands-on with Lustre, GPFS/Spectrum Scale, BeeGFS, WEKA, VAST, DAOS, S3-compatible storage.
Fluency in Linux storage, Kubernetes storage, and storage automation; GPUDirect Storage experience.
Experience with NVMe-oF, tiering for datasets, high-throughput ingest.

🎁 Benefits

Competitive compensation and stock options.
Professional development, conferences, and cutting-edge open-source work.
Open, collaborative work culture in a Silicon Valley leader in cloud infrastructure.

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