Technical Product Manager, AI Storage

About the Position

Mirantis is seeking 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.

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.

Requirements

• 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.

We Offer

• Work with an established Silicon Valley leader in the cloud infrastructure industry.
• Work with exceptionally passionate, talented, and engaging colleagues, helping Fortune 500 and Global 2000 customers implement next-generation cloud technologies.
• Be a part of cutting-edge, open-source innovation.
• Thrive in the high-energy environment of a young company where openness, collaboration, risk-taking, and continuous growth are valued.
• Professional development and training.
• Attend conferences and working groups.
• Customized workstation (macOS, Windows).
• A competitive compensation package with a strong benefits plan and stock options.

About the Company

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. By combining open source innovation with deep expertise in Kubernetes orchestration, Mirantis empowers platform engineering teams to deliver composable, production-ready developer platforms across any environment-on-premises, in the cloud, at the edge, or in sovereign data centers. As enterprises navigate the growing complexity of AI-driven workloads, Mirantis delivers the automation, GPU orchestration, and policy-driven control needed to manage infrastructure with confidence and agility. Committed to open standards and freedom from lock-in, Mirantis ensures that customers retain full control of their infrastructure strategy.

Remote Work

This position is fully remote.