Technical Product Marketer, k0rdent AI - remote in the US

Mirantis; United States; On-site; USD 90,000 - 150,000; Full time

Job summary

Mirantis is seeking a Product Marketing professional to craft positioning and messaging for AI infrastructure and cloud-native platforms. You will translate complex capabilities into practitioner- and executive-focused narratives, while owning competitive intelligence and producing battlecards and win/loss analyses.

You will create high-quality technical content—briefs, white papers, blog posts, use cases, architectures—and collaborate with architects and PMs on LLM inference, GPU scheduling,

Qualifications

• 4–7 years of product marketing or related experience in cloud infrastructure or enterprise software.
• Ability to translate complex technical concepts into audience-specific messaging.
• Experience creating sales enablement materials and collaborating with sales teams.
• Familiarity with cloud infra and AI platforms (Red Hat, NVIDIA, Canonical, Rancher/SUSE, HashiCorp).
• Strong writing and storytelling skills for technical and business audiences.
• Comfort in fast-paced, autonomous, distributed environments.

Responsibilities

• Develop positioning, messaging frameworks, and value propositions for Mirantis’ AI infra and cloud-native platform.
• Translate technical capabilities into narratives for practitioners and executives.
• Own competitive intelligence; produce battlecards and win/loss analyses.
• Produce technical content: briefs, white papers, blog posts, use cases, architectures.
• Collaborate with solution architects and product managers on content about LLM inference, GPU scheduling.
• Support demand gen with assets aligned to personas.
• Build sales enablement materials: decks, battlecards, ROI frameworks.
• Contribute to GTM strategy with market insights.
• Represent Mirantis at events and industry forums.

Skills

Kubernetes orchestration

AI/ML infrastructure

Cloud infrastructure

Multi-cloud deployment

Technical writing

Sales enablement materials

Cross-functional collaboration

Autonomy in distributed environments

Tools

Kubeflow

MLflow

Ray

Job 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.

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 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.