Technical Product Marketer - K0rdent AI
Mirantis
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About the role
Role Overview
Technical Product Marketer (K0rdent AI) at Mirantis. Own and evolve positioning, messaging, and competitive narrative for Mirantis’ AI infrastructure and cloud-native developer platform, translating technical capabilities into audience-specific value propositions.
Responsibilities
- Develop and maintain positioning, messaging frameworks, and value propositions for Mirantis’ AI infrastructure and cloud-native portfolio.
- Translate complex technical product capabilities into clear narratives for:
- Practitioners and platform engineers
- C-suite and business buyers
- Lead competitive intelligence:
- Track competitors (e.g., Red Hat OpenShift AI, NVIDIA Base Command, Rancher/SUSE, VMware Tanzu)
- Produce battlecards, comparisons, and win/loss analysis
- Create a consistent cadence of technical marketing content, including:
- Solution briefs, white papers, blog posts
- Use case studies, reference architectures, demo scripts
- Partner with solution architects and product managers to create technical content on AI infrastructure patterns such as:
- LLM inference at scale
- GPU scheduling
- Developer platform self-service
- Support demand generation with persona-aligned assets (AI/ML engineers, platform ops teams, infrastructure decision-makers).
- Build and maintain sales enablement materials:
- Pitch decks, battlecards, objection-handling guides, ROI frameworks
- Partner with solution architects and sales to distill field learnings into improved messaging and content.
- Support product launches with go-to-market plans, launch kits, and internal training.
- Monitor market and ecosystem trends across AI infrastructure, cloud-native, and open-source to guide GTM strategy.
- Support analyst and media briefings, and represent Mirantis at events, webinars, and community forums.
About Mirantis
Mirantis is a Kubernetes-native AI infrastructure company that helps organizations build and operate scalable, secure, and sovereign infrastructure for AI, machine learning, and data-intensive workloads. It combines open source innovation with expertise in Kubernetes orchestration to deliver composable developer platforms across on-premises, cloud, edge, and sovereign environments. The company focuses on automation for GPU orchestration and policy-driven control, aiming to prevent lock-in and support open standards.
Scraped 8/20/2026