Technical Product Manager, AI Storage

📋 Description

• Own vision, roadmap, and priorities for AI storage
• Define procurement, automation, tiering, and scale for GPU clusters
• Collaborate with engineering to drive secure, scalable storage
• Translate operator and partner requirements into actionable work
• Align storage with Kubernetes and AI workload needs
• Represent product at events and with partners

🎯 Requirements

• 5+ years in product management/storage
• Strong knowledge of Lustre, GPFS, BeeGFS, WEKA, VAST, DAOS
• Hands-on with S3/object and block storage at scale
• Linux storage, CSI, dynamic provisioning, storage classes
• GPUs storage tech: GPUDirect, RDMA, NVMe-oF
• Translate tech needs into strategy and roadmaps

🎁 Benefits

• Competitive compensation and stock options
• Work with open-source cloud/AI infra
• Collaborate with skilled colleagues and enterprise customers
• Professional development and training
• Opportunities to attend industry events
• Dedicated workstation with macOS/Windows options