Develop and maintain core positioning, messaging frameworks, and value propositions for Mirantisā AI infrastructure and cloud-native platform portfolio.
Translate highly technical product capabilities ā GPU cluster orchestration, multi-cluster Kubernetes management, MLOps pipelines ā 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, including pitch decks, battlecards, objection-handling guides, and ROI frameworks.
Partner with solution architects and sales teams to distill field learnings into sharper messaging and better-targeted content.
Support product launches with go-to-market plans, launch kits, and internal training materials.
Monitor trends across the AI infrastructure, cloud-native, and open-source ecosystems to surface market insights that inform GTM strategy.
Support analyst and media briefings; contribute to Mirantisā positioning in key industry conversations and reports.
Represent Mirantisā platform perspective at industry events, webinars, and community forums as a subject matter resource.
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