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. Backed by Insight and Sapphire.
About the role
Represent Mirantis’ platform perspective at industry events, webinars, and community forums as a subject matter resource.
What they're looking for
- 4–7 years of experience in product marketing, technical marketing, or a closely adjacent role (solutions marketing, developer marketing, content strategy) within the cloud infrastructure, DevOps, or enterprise software space
- Demonstrated ability to understand and credibly communicate complex technical concepts related to:
- Kubernetes, container orchestration, and cloud-native platforms
- AI/ML infrastructure, including model serving, inference, GPU resource management, and MLOps tooling
- Hybrid and multi-cloud deployment patterns across AWS, GCP, and Azure
- Strong writing and storytelling skills — able to produce clear, engaging content for both technical and business audiences without heavy editing
More about this role
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: AI/ML engineers, platform ops teams, and infrastructure decision-makers.
Build and maintain sales enablement materials,...
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