Technical Product Manager, AI Storage
MirantisRemotely
Listed on 2 job boards, which is a stronger signal than one board alone.
s3storagevastlustredaoswekagpfsbeegfs
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Job Description
📋 Description
- 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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