Technical Product Marketer - K0rdent AI

Mirantis; United States; On-site; USD 120,000 - 180,000; Full time

Job summary

Mirantis, a Kubernetes-native AI infrastructure company, is seeking a product marketing leader to craft positioning, messaging, and value propositions for its AI infrastructure and cloud-native platform portfolio. You will translate complex tech—GPU orchestration, multi-cluster Kubernetes, MLOps—into narratives for practitioners, platform engineers, and executives.

Collaborating with solution architects and product managers, you will develop content, enablement assets, and GTM materials, support

Qualifications

• 4–7 years of experience in product marketing, technical marketing, or closely adjacent role within cloud infrastructure or enterprise software.
• Ability to understand and credibly communicate complex technical concepts related to Kubernetes, cloud-native platforms, and AI/ML infrastructure.
• Experience developing sales enablement materials and working with sales/pre-sales teams.
• Familiarity with competitive landscape across cloud infrastructure and AI platforms.

Responsibilities

• Develop core positioning, messaging frameworks, and value propositions for Mirantis’ AI infrastructure and cloud-native platform portfolio.
• Translate highly technical product capabilities (GPU orchestration, multi-cluster Kubernetes, MLOps) into audience-specific narratives.
• Own competitive intelligence; track competitors; produce battlecards, comparisons, and win/loss analyses.
• Produce high-quality technical content: solution briefs, white papers, blog posts, case studies, reference architectures, and demo scripts.
• Partner with solution architects and product managers to educate buyers on AI infrastructure patterns and developer platforms.
• Support demand generation campaigns with assets aligned to personas: AI/ML engineers, platform ops, and infrastructure decision-makers.
• Build and maintain sales enablement materials: pitch decks, battlecards, objection-handling guides, ROI frameworks.
• Collaborate with field teams to sharpen messaging and content.
• Support product launches with GTM plans, launch kits, and internal training materials.
• Monitor trends across AI infra, cloud-native ecosystems to surface market insights.
• Support analyst relations and industry reports; represent Mirantis at events.

Skills

Writing & storytelling

Cross-functional collaboration

Kubernetes & cloud-native

Sales enablement

Competitive analysis

Tools

Kubernetes

MLflow

Kubeflow

Ray

Job description

Headquarters: Austin, TX, USA

Company Description Mirantis is the Kubernetes-native AI infrastructure company, enabling organizations to build and operate scalable, secure, and sovereign infrastructure for modern AI, machine learning, and data-intensive applications. By combining open source innovation with deep expertise in Kubernetes orchestration, Mirantis empowers platform engineering teams to deliver composable, production-ready developer platforms across any environment—on-premises, in the cloud, at the edge, or in sovereign data centers. As enterprises navigate the growing complexity of AI-driven workloads, Mirantis delivers the automation, GPU orchestration, and policy-driven control needed to manage infrastructure with confidence and agility. Committed to open standards and freedom from lock-in, Mirantis ensures that customers retain full control of their infrastructure strategy.

https://www.mirantis.com/

Job Description

• 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.

Qualifications Required

• 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 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.

Additional Information

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.

Receive a competitive compensation package with strong benefits plan

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