Responsibilities

• 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.

Requirements

• 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.

Preferred

• 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 companies like RunPod, SpectroCloud, Rafay, Anyscale, Hugging Face, Together AI, or Modal.
• Experience supporting analyst relations or contributing to industry research and reports.
• CNCF ecosystem knowledge or cloud/Kubernetes certifications a plus.

Benefits

• Work with an established Silicon Valley leader in the cloud infrastructure industry.
• Work with exceptionally passionate, talented and engaging colleagues, helping Fortune 500 and Global 2000 customers implement next-generation cloud technologies.
• Be a part of cutting-edge, open-source innovation.
• Thrive in the high-energy environment of a young company where openness, collaboration, risk-taking, and continuous growth are valued.