Mirantis
Kubernetes-native AI infrastructure
TechnicalProductManager,AIStorage
“Technical Product Manager, AI Storage at Mirantis. Skills: Technical Product Management, AI Storage, Kubernetes, GPU Infrastructure. Own the vision, roadmap, and priorities for k0rdent AI storage. Define how customers design, automate, and operate every aspect of their storage stack, including parallel file systems, object storage, tiering, snapshots, data protection, and more”
What You'll Achieve.
deliver composable, production-ready developer platforms across any environment; manage infrastructure with confidence and agility; ensure that customers retain full control of their infrastructure strategy; define how operators provision, tier, and scale storage across GPU clusters running large-scale training and inference; make them a coherent, declarative product; convert technical depth into wins in competitive GPU cloud and NeoCloud deals; ship secure, scalable, reliable storage capabilities; refine roadmap priorities and positioning; Build the networking foundation for the AI cloud era
Industry & Context.
What They're Looking For.
Must Have
5+ years in product management, technical product management, or a senior technical role owning a storage product, platform, or large-scale storage estate, Hands-on familiarity with parallel and distributed file systems (Lustre, GPFS/Spectrum Scale, BeeGFS, WEKA, VAST, DAOS), S3-compatible object storage, and block storage at scale, Fluency in Linux storage, Kubernetes storage (CSI, dynamic provisioning, storage classes), software-defined storage, hyperscale or service provider storage, or storage automation, Hands-on experience with modern GPU cluster storage, including GPUDirect Storage and RDMA data paths, NVMe-oF, hot/warm/cold tiering for training datasets and checkpoints, and high-throughput ingest pipelines
What You'll Do.
and priorities for k0rdent AI storage
Define how customers design
and operate every aspect of their storage stack
including parallel file systems
Translate requirements from NeoClouds
and enterprise platform teams into clear product direction
Manage the storage backlog
using feedback from production deployments and design partners to refine roadmap priorities and positioning
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
Represent Mirantis at events
and customer advisory boards
and ecosystem partners on reference architecture alignment
How You'll Work.
Team & Collaboration
Work directly with engineering to shape requirements; Work with marketing to sharpen positioning; Work with field teams to convert technical depth into wins; Partner with engineering and architecture to define requirements, evaluate trade-offs, and ship secure, scalable, reliable storage capabilities; Collaborate with a world-class, distributed team committed to openness and technical excellence
Communication Scope
sharpen positioning; Define positioning, packaging, and competitive differentiation; Create field-facing assets, including technical briefs, battlecards, and reference support strategic accounts as the storage product lead; Represent Mirantis at events, analyst briefings, and customer advisory engage storage, silicon, and ecosystem partners on reference architecture alignment
Process & Methodology
Manage the storage backlog
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