Mirantis

Technology

TechnicalProductMarketer

$115–165k ~AI est. United States FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for mid candidates.

The Brief

“Technical Product Marketer at Mirantis. Skills: AI infrastructure, Cloud-native platform, Technical content creation, Competitive analysis. Develop positioning. Maintain positioning”

Industry & Context.

Technology
Problems you'll solve

Troubleshooting

What They're Looking For.

Must Have

4–7 years product marketing experience, 4–7 years technical marketing experience, 4–7 years solutions marketing experience, 4–7 years developer marketing experience, 4–7 years content strategy experience, Understand complex technical concepts, Communicate complex technical concepts, Experience developing sales enablement materials, Work directly with sales teams, Work directly with pre-sales teams, Familiarity with competitive landscape

Nice to Have

Hands-on Kubernetes experience, Hands-on MLflow experience, Hands-on Kubeflow experience, Hands-on Ray experience, Background in AI/ML engineering, Background in DevOps, Background in platform engineering, Experience supporting analyst relations, Contribute to industry research, CNCF ecosystem knowledge, Cloud certifications, Kubernetes certifications

What You'll Do.

Develop messaging frameworks

Maintain messaging frameworks

Develop value propositions

Maintain value propositions

Translate technical capabilities

Create audience-specific narratives

Own competitive intelligence

Produce technical content

Develop technical content

Educate buyers on AI infrastructure patterns

Support demand generation campaigns

Build sales enablement materials

Maintain sales enablement materials

Distill field learnings

Support product launches

Develop go-to-market plans

Develop internal training materials

Monitor ecosystem trends

Surface market insights

Support analyst contributions

Support media contributions

Represent Mirantis platform perspective

Present at industry events

Present at community forums

How You'll Work.

Team & Collaboration

Partner with solution architects; Partner with product managers; Work with sales teams; Engage with engineers; Engage with product managers; Engage with executives

Communication Scope

Writing skills; Storytelling skills; Technical content; Executive presentations; Industry conversations; Industry reports

Process & Methodology

Manage multiple projects, Manage deadlines

Full Job 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. [https://www.mirantis.com/](https://www.mirantis.com/) * Develop and maintain core positioning, messaging frameworks, and value propositions for Mirantis’ AI infrastructure and cloud-native platform portfolio. * Translate highly technical product capabilities — GPU cluster orchestration, multi-cluster Kubernetes management, MLOps pipelines — into audience-specific narratives for practitioners, platform engineers, and C-suite buyers. * Own the competitive intelligence function: track competitors including Red Hat OpenShift AI, NVIDIA Base Command, Rancher/SUSE, VMware Tanzu, and emerging AI cloud providers; produce battlecards, comparisons, and win/loss analysis. * Produce a steady cadence of high-quality technical content: solution briefs, white papers, blog posts, use case studies, reference architectures, and demo scripts. * Partner with solution architects and product managers to develop technical content that educates buyers on AI infrastructure patterns, including LLM inference at scale, GPU scheduling, and developer platform self-service. * Support demand generation campaigns with compelling assets aligned to key personas: A

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