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Mirantis

Kubernetes management platform with services

Technical Product Marketer

Product MarketingConfirmed live in the last 24 hours
Full-timeRemote in USANo salary listedRemote

About the Job

Requirements

  • The candidate must have 4–7 years of experience in product marketing, technical marketing, or a closely adjacent role such as solutions marketing, developer marketing, or content strategy within cloud infrastructure, DevOps, or enterprise software.
  • The candidate must understand and credibly communicate complex technical concepts related to Kubernetes, container orchestration, and cloud-native platforms.
  • The candidate must understand AI/ML infrastructure, including model serving, inference, GPU resource management, and MLOps tooling.
  • The candidate must understand hybrid and multi-cloud deployment patterns across AWS, GCP, and Azure.
  • The candidate must be able to produce clear, engaging content for technical and business audiences without heavy editing.
  • The candidate must have experience developing sales enablement materials and working directly with sales and pre-sales teams.
  • The candidate must be familiar with the competitive landscape across cloud infrastructure, AI platforms, and open-source ecosystems.
  • The candidate must be comfortable working in a fast-paced, distributed environment with a high degree of autonomy.
  • The candidate should be intellectually curious about how AI infrastructure works under the hood.
  • The candidate should be comfortable collaborating with engineers, product managers, and executives.
  • The candidate should be able to manage multiple projects and deadlines while maintaining narrative coherence.
  • The candidate should have an interest in open source, developer communities, and the cloud-native ecosystem.
  • The candidate should have an entrepreneurial mindset and a bias toward shipping content and iterating quickly.

Responsibilities

  • Develop and maintain core positioning, messaging frameworks, and value propositions for the AI infrastructure and cloud-native platform portfolio.
  • Translate technical product capabilities, including GPU cluster orchestration, multi-cluster Kubernetes management, and MLOps pipelines, into audience-specific narratives for practitioners, platform engineers, and C-suite buyers.
  • Own competitive intelligence by tracking competitors and producing battlecards, comparisons, and win/loss analysis.
  • Produce technical content, including 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 about AI infrastructure patterns, including large language model inference at scale, GPU scheduling, and developer platform self-service.
  • Support demand generation campaigns with assets aligned to key personas, including AI/ML engineers, platform operations teams, and infrastructure decision-makers.
  • Build and maintain sales enablement materials, including pitch decks, battlecards, objection-handling guides, and return-on-investment frameworks.
  • Partner with solution architects and sales teams to turn 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 go-to-market strategy.
  • Support analyst and media briefings and contribute to the company's positioning in industry conversations and reports.
  • Represent the platform perspective at industry events, webinars, and community forums as a subject matter resource.

Desired Qualifications

  • Hands-on experience with Kubernetes, MLflow, Kubeflow, Ray, or similar infrastructure tooling.
  • A background in or exposure to AI/ML engineering, DevOps, or platform engineering.
  • Prior experience in or familiarity with companies such as 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.

About the Company

Mirantis

Kubernetes management platform with services

Mirantis provides a Kubernetes management platform and related cloud services. It helps businesses run and scale containerized applications in the cloud by automating deployment, management, and scaling of Kubernetes clusters. The product is available as a free download, while the company earns revenue from professional services such as consulting, training, and support. This mix of software and services sets it apart from competitors that rely solely on software sales. Mirantis works with many clients across industries, focusing on helping organizations migrate to modern, scalable cloud solutions. The overall goal is to enable customers to operate their software more efficiently at large scale in the cloud.

Company size
501-1,000
Company stage
Acquired
Total funding
$255M
Headquarters
Mountain View, CA
Founded
1999

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