AI Storage Platform PM for GPU Clusters

Mirantis; Northern (KY); Hybrid; USD 140,000 - 190,000; Full time

Benefits offered by this job

Stock options

Competitive compensation with strong/`

Job summary

Mirantis is seeking a Technical Product Manager to own storage for k0rdent AI, the control plane for GPU infrastructure and distributed AI workloads. 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.

You will work with engineering, marketing, and field teams to convert technical depth into wins in competitive GPU cloud and NeoCloud deals.

Qualifications

• 5+ years in product management or a senior technical role owning a storage product.
• Hands-on with parallel and distributed file systems and object storage.
• Fluency in Linux storage and Kubernetes storage.
• Hands-on experience with GPU cluster storage including GPUDirect Storage and NVMe-oF.

Responsibilities

• Own the vision, roadmap, and priorities for k0rdent AI storage, defining how customers design, automate, and operate every aspect of their storage stack, including parallel file systems, object storage, tiering, snapshots, data protection, and more
• 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, using feedback from production deployments and design partners to refine roadmap priorities and positioning
• Define positioning, packaging, and competitive differentiation for k0rdent AI storage
• Create field-facing assets, including technical briefs, battlecards, and reference architectures; support strategic accounts as the storage product lead
• Represent Mirantis at events, analyst briefings, and customer advisory boards; engage storage, silicon, and ecosystem partners on reference architecture alignment

Skills

Storage PM experience

Parallel file systems

S3-compatible object storage

Kubernetes storage (CSI)

GPU storage experience

Linux storage

Tools

Lustre

GPFS/Spectrum Scale

BeeGFS

WEKA

VAST

DAOS

GPUDirect Storage

RDMA

NVMe-oF

Job description

Mirantis is seeking a Technical Product Manager to own storage for k0rdent AI, the control plane for GPU infrastructure and distributed AI workloads. 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.

You will work with engineering, marketing, and field teams to convert technical depth into wins in competitive GPU cloud and NeoCloud deals.