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Senior Technical Product Marketing Manager, k0rdent AI - Remote

Mirantis

Austin, TX, United States · senior
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Job at a glance

Austin, TX, United States
Location
Remote
Work arrangement
Senior
Seniority
Mirantis
Employer
Marketing Manager jobs
Category

Company Description 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. Mirantis serves many of the world’s leading enterprises, including Adobe, DocuSign, Liberty Mutual, PayPal, Reliance Jio, Societe Generale, Splunk, and Volkswagen.

Learn more at  www.mirantis.com . Job Description Mirantis is seeking a Senior Technical Product Marketing Manager focused on k0rdent AI, our AI infrastructure platform. You will be responsible for the technical proof behind how we bring k0rdent AI to market: white papers, demos, benchmarks, and competitive analysis that sales engineers, solution architects, and customer infrastructure teams rely on.

You will spend much of your time with customers, prospects, and the engineers and architects who build and deploy k0rdent AI, translating what you learn into technically defensible content and into feedback for product management. As part of the Product Marketing team, you will work hand in hand with engineering, product management, and solution architects to validate claims, build demos, and support customer technical deep dives and analyst briefings.

The ideal candidate is a hands-on infrastructure practitioner who can write and present with authority. You will validate claims in the lab before they reach customers, understand where k0rdent AI wins and where it doesn't, and represent its capabilities accurately, including current limitations. Job Description: Author white papers, technical blogs, architecture decision guides, and NVIDIA certification materials (NCP, NCX) for platform engineers and infrastructure architects.

Build and maintain the technical demo portfolio, including live demos, recorded walkthroughs, and supporting lab environments spanning bare-metal provisioning, GPU cluster handoff, and AI workload deployment. Lead technical competitive analysis, including hands-on evaluation of competing platforms and emerging neocloud control planes. Translate engineering and field data into defensible technical claims across cluster turn-up time, provisioning success rate at node scale, NCCL and fabric benchmark results, GPU utilization and allocation efficiency, failure-domain behavior, and multi-tenant isolation.

Engage directly with customers and prospects in technical deep dives and architecture reviews, alongside sales engineering and solution architects. Enable sales engineering and solution architects with POC success criteria and test plans, discovery guides, and sizing and TCO models. Support analyst and technical media briefings (Gartner, Forrester, S&P Global/451 Research, Omdia, technical press, podcasts), and present at conferences such as KubeCon, NVIDIA GTC, and RAISE.

Deliver structured roadmap input to product management based on POC patterns, recurring technical objections, and competitive loss analysis. Qualifications Required qualifications: 6+ years across technical product marketing, technical marketing engineering, solutions architecture, or infrastructure engineering, including externally facing technical content. Solution architects and TMEs moving into marketing are encouraged to apply.

Hands-on Kubernetes competence, including cluster operation, CRDs and controllers, and

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