Technical Product Marketer, k0rdent AI - remote in the US

• 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, 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 Mirantis’ positioning in key industry conversations and reports. • Represent Mirantis’ platform perspective at industry events, webinars, and community forums as a subject matter resource. Required Qualifications • 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. • Experience developing sales enablement materials and working directly with sales and pre-sales teams. • Familiarity with the competitive landscape across cloud infrastructure, AI platforms, and open-source ecosystems (e.g., Red Hat, NVIDIA, Canonical, Rancher/SUSE, HashiCorp). • Comfort working in a fast-paced, distributed environment with a high degree of autonomy.  Soft Skills and Team Fit • Intellectually curious with a genuine interest in how AI infrastructure works under the hood. • Strong cross-functional collaborator — comfortable engaging with engineers, product managers, and executives alike. • Structured thinker who can manage multiple projects and deadlines without losing narrative coherence. • Passion for open source, developer communities, and the cloud-native ecosystem. • Entrepreneurial mindset with a bias toward shipping content and iterating quickly. Nice to Have • Hands-on experience with Kubernetes, MLflow, Kubeflow, Ray, or similar infrastructure tooling. • Background in or exposure to AI/ML engineering, DevOps, or platform engineering. • Prior experience in or familiarity with co