Job Description
Job Summary
Mirantis is looking for a Technical Product Manager to own storage for k0rdent AI, our control plane for GPU infrastructure and distributed AI workloads. In this role, you will define the storage strategy, roadmap, and feature priorities that determine how operators provision, tier, and scale storage across GPU clusters running large-scale training and inference.
GPU cloud storage sits at the intersection of high-performance computing and multi-tenant cloud, and the product must hold both worlds together. You will shape how k0rdent AI reasons about parallel file systems (Lustre, GPFS, BeeGFS, WEKA, VAST, DAOS), S3-compatible object stores for training data and checkpoints, automated tiering between hot NVMe and capacity tiers, and GPUDirect Storage paths that bypass the CPU to feed accelerators at line rate. These layers are typically operated as disconnected silos, with storage admins, platform teams, and ML engineers each owning a slice. Your job is to make them a coherent, declarative product.
The ideal candidate brings strong technical fluency in classical storage and the AI stack. You will work directly with engineering to shape requirements, with marketing to sharpen positioning, and with field teams to convert technical depth into wins in competitive GPU cloud and NeoCloud deals.
Responsibilities
Qualifications
Qualifications
Why you’ll love Mirantis
Additional Information
What does Mirantis offer you?
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