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Technical Product Manager, AI Storage

🕒 10 days ago
Product ManagementTechnical Product ManagementStorage StrategyParallel File Systems

📜 Description

  • Translate requirements from NeoClouds, GPU clouds, telcos, sovereign clouds, and enterprise platform teams into clear product direction.
  • Partner with engineering and architecture to define requirements, evaluate trade-offs, and ship secure, scalable, reliable storage capabilities.
  • Manage the storage backlog, refining roadmap priorities and positioning based on feedback from production deployments and design partners.
  • Define positioning, packaging, and competitive differentiation for k0rdent AI storage.
  • Create field-facing assets, including technical briefs and reference architectures; support strategic accounts as the storage product lead.

🛠️ Requirements

  • 5+ years in product management, technical product management, or a senior technical role owning a storage product or platform.
  • Hands-on familiarity with parallel and distributed file systems (Lustre, GPFS, BeeGFS, WEKA, VAST, DAOS) and S3-compatible object storage.
  • Fluency in Linux storage, Kubernetes storage, software-defined storage, or storage automation.
  • Hands-on experience with modern GPU cluster storage, including GPUDirect Storage and NVMe-oF.

Benefits

  • Plan and stock options.
  • Own the vision, roadmap, and priorities for k0rdent AI storage, defining how customers design, automate, and operate every aspect of their storage stack.
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