Note: The job is a remote job and is open to candidates in USA. Mirantis is the Kubernetes-native AI infrastructure company, enabling organizations to build and operate scalable, secure, and sovereign infrastructure for modern AI, machine learning, and data-intensive applications. They are seeking a Technical Product Manager to own storage for k0rdent AI, defining the storage strategy and feature priorities for GPU infrastructure and distributed AI workloads.

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

• 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

Benefits

• Professional development and training.
• Attend conferences and working groups.
• Customized workstation (macOS, Windows).
• A competitive compensation package with strong benefits plan and stock options.

Company Overview

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