Mirantis
Technical Product Manager, AI Storage
Austin, TX, United States · Senior
Sponsorship not specifiedDetected 56 days ago
AWSCloud PlatformsKubernetesLinuxPlatform EngineeringMachine LearningProduct ManagementCollaboration
About the role
- 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.
- These layers are typically operated as disconnected silos, with storage admins, platform teams, and ML engineers each owning a slice.
Responsibilities
- 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
- 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
- Build the storage foundation for the AI cloud era, working directly with leading GPU cloud operators, NeoClouds, sovereign clouds, and AI-first enterprises
- Collaborate with a world-class, distributed team committed to openness and technical excellence
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 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
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