Technical Product Manager, AI Storage at Mirantis Germany GmbH

Austin, Texas, United States -

Full Time

Start Date

Immediate

Expiry Date

25 Aug, 26

Salary

0.0

Posted On

27 May, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Product Management, Parallel File Systems, S3 Object Storage, Kubernetes Storage, GPU Infrastructure, GPUDirect Storage, RDMA, NVMe-oF, Linux Storage, Software-Defined Storage, Roadmap Planning, Technical Positioning, CSI, Distributed AI Workloads, Storage Tiering, Data Protection

Industry

Software Development

Description

Company Description About Mirantis 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. Job Description Job Summary Mirantis is looking for 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. GPU cloud storage sits at the intersection of high-performance computing and multi-tenant cloud, and the product must hold both worlds together. You will shape how k0rdent AI reasons about parallel file systems (Lustre, GPFS, BeeGFS, WEKA, VAST, DAOS), S3-compatible object stores for training data and checkpoints, automated tiering between hot NVMe and capacity tiers, and GPUDirect Storage paths that bypass the CPU to feed accelerators at line rate. These layers are typically operated as disconnected silos, with storage admins, platform teams, and ML engineers each owning a slice. Your job is to make them a coherent, declarative product. The ideal candidate brings strong technical fluency in classical storage and the AI stack. You will work directly with engineering to shape requirements, with marketing to sharpen positioning, and with field teams to convert technical depth into wins in competitive GPU cloud and NeoCloud deals. 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 Qualifications 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 Why you’ll love Mirantis Build the networking 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 Shape the product narrative and influence go-to-market success Additional Information What does Mirantis offer you? 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 strong benefits plan and stock options. It is understood that Mirantis, Inc. may use automated decision-making technology (ADMT) for specific employment-related decisions. Opting out of ADMT use is requested for decisions about evaluation and review connected with the specific employment decision for the position applied for. You also have the right to appeal any decisions made by ADMT by sending your request to [email protected] By submitting your resume, you consent to the processing and storage of your personal data in accordance with applicable data protection laws, for the purposes of considering your application for current and future job opportunities. #remote We are a Leader for Container Management in G2 (#2 after AWS)!

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Responsibilities

Own the vision, roadmap, and priorities for k0rdent AI storage, focusing on GPU infrastructure and distributed AI workloads. Translate complex requirements from GPU clouds and enterprises into scalable storage capabilities and field-facing technical assets.