Technical Product Marketer, k0rdent AI (Remote, US)

About the role

Mirantis, a Kubernetes-native AI infrastructure company, is hiring a Technical Product Marketer for its k0rdent AI portfolio, working remotely in the US. The role turns complex technical product capabilities into audience-specific narratives and owns the competitive intelligence function, while producing technical content and supporting sales enablement.

Key responsibilities

• Develop and maintain core positioning, messaging frameworks and value propositions for the AI infrastructure and cloud-native platform portfolio.
• Translate technical capabilities such as GPU cluster orchestration, multi-cluster Kubernetes management and MLOps pipelines into narratives for practitioners, platform engineers and C-suite buyers.
• Track competitors including Red Hat OpenShift AI, NVIDIA Base Command, Rancher/SUSE, VMware Tanzu and emerging AI cloud providers, and produce battlecards, comparisons and win/loss analysis.
• Produce solution briefs, white papers, blog posts, use case studies, reference architectures and demo scripts.
• Partner with solution architects and product managers on content covering LLM inference at scale, GPU scheduling and developer platform self-service.
• Support demand generation campaigns and sales enablement materials such as pitch decks, objection-handling guides and ROI frameworks.
• Help support product launches with go-to-market plans, launch kits and internal training materials.
• Represent Mirantis at industry events, webinars and community forums, and support analyst and media briefings.

Required profile

• 4-7 years of experience in product marketing, technical marketing or a closely adjacent role (solutions marketing, developer marketing, content strategy) in cloud infrastructure, DevOps or enterprise software.
• Ability to understand and communicate complex technical concepts about Kubernetes, container orchestration, cloud-native platforms, AI/ML infrastructure and hybrid/multi-cloud patterns across AWS, GCP and Azure.
• Experience developing sales enablement materials and working with sales and pre-sales teams.
• Familiarity with the competitive landscape (Red Hat, NVIDIA, Canonical, Rancher/SUSE, HashiCorp).
• Comfortable in a fast-paced, distributed environment with a high degree of autonomy.

Nice to have

• Hands-on experience with Kubernetes, MLflow, Kubeflow, Ray or similar tooling.
• Background in AI/ML engineering, DevOps or platform engineering.
• Experience with companies such as RunPod, SpectroCloud, Hugging Face, Together AI or Modal.
• CNCF ecosystem knowledge or cloud/Kubernetes certifications.

What we offer

• A competitive compensation package with a strong benefits plan.
• The chance to work with an established Silicon Valley leader in cloud infrastructure and with passionate colleagues.
• A young, high-energy company culture that values openness, collaboration, risk-taking and continuous growth.