Remote Tech PM for AI Storage & GPU Cloud

Mirantis; United States; On-site; USD 150,000 - 190,000; Full time

Benefits offered by this job

Stock options

Competitive compensation

Professional development

Conference attendance

Open-source culture

Job summary

Mirantis is seeking a Technical Product Manager to own storage for k0rdent AI, our GPU infrastructure control plane. You will define storage strategy, roadmap, and priorities, enabling operators to provision, tier, and scale storage across GPU clusters used for large-scale training and inference.

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

Qualifications

• 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

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 product management

GPU storage experience

Kubernetes storage

Roadmap planning

Stakeholder collaboration

Tools

Lustre

GPFS/Spectrum Scale

BeeGFS

WEKA

VAST

DAOS

S3-compatible storage

GPUDirect Storage

NVMe-oF

CSI/storage classes

Job description

Mirantis is seeking a Technical Product Manager to own storage for k0rdent AI, our GPU infrastructure control plane. You will define storage strategy, roadmap, and priorities, enabling operators to provision, tier, and scale storage across GPU clusters used for large-scale training and inference.

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