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Salary
$106k – $187k per year (Estimated)
Location
Remote (United States)
Seniority
Senior · 6+ years exp
Employment
Full-Time
Overview
Company
Impact
Profile match
Mirantis is an American infrastructure software company founded in 1999 that helps enterprises run container and cloud platforms on their own hardware rather than on public cloud. It began as an OpenStack specialist, acquired Docker Enterprise in 2019 and now sells Kubernetes distributions, container runtimes and managed services aimed at organisations with regulatory, cost or latency reasons to keep workloads in their own data centres. Headquartered in Campbell, California with a substantial engineering presence in eastern Europe, it competes with Red Hat and the cloud providers' own managed offerings.

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.

Mirantis serves many of the world’s leading enterprises, including Adobe, DocuSign, Liberty Mutual, PayPal, Reliance Jio, Societe Generale, Splunk, and Volkswagen. Learn more at www.mirantis.com.

Mirantis is seeking a Senior Product Marketing Manager focused on k0rdent AI, our AI infrastructure platform. You will be responsible for how we bring k0rdent AI to market and how it is understood by the platform engineers and technical buyers who evaluate it.

You will turn the k0rdent AI story into the content that demand generation, sales, and the practitioner community rely on, translating product capabilities into technical blogs, solution briefs, tutorials, case studies, and enablement assets that resonate with a technical audience.

As part of the Product Marketing team, you will work hand in hand with engineering, product management, and solution architects to identify and promote the platform's value propositions and capabilities.

The ideal candidate combines a technical background with strong editorial judgment and a track record of shipping on schedule. You will learn from real customer deployments, spot where the market misunderstands k0rdent AI, and use content performance data to refine what you publish and why.

Responsibilities:

  • Translate k0rdent AI capabilities into positioning and messaging for platform engineers and technical buyers, in partnership with product management and the broader Product Marketing team.
  • Author and publish technical blogs, solution briefs, tutorials, case studies, and launch kits, and maintain the editorial calendar that sequences them against campaign and launch timelines.
  • Partner with engineering, product management, and solution architects to develop content from PRDs, release notes, reference architectures, and field insight, and edit SME-authored drafts to a publishable standard.
  • Develop sales enablement assets, including pitch decks, one-pagers, objection-handling guides, and discovery aids, working directly with sales and pre-sales.
  • Produce hands-on content, including walkthroughs, how-to guides, and getting-started material based on live product workflows.
  • Support the customer proof program through reference interviews, quote and logo approvals, case studies, and testimonials.
  • Track content performance across traffic, engagement, conversion, pipeline contribution, and sales asset usage, and adjust the content mix accordingly.

Required qualifications:

  • 6+ years in product marketing, technical content marketing, or developer marketing within cloud infrastructure, DevOps, or enterprise software.
  • Demonstrated ability to convert a brief, a specification, or a subject-matter-expert conversation into a finished deliverable within a review cycle.
  • Strong copywriting and editing craft across long-form technical narrative and short-form copy, including the ability to bring SME-authored drafts to a publishable standard.
  • Working fluency in cloud infrastructure, Kubernetes, containers, CI/CD, and on-premises deployment patterns.
  • Baseline AI infrastructure literacy, including GPU cluster fundamentals, training versus inference workloads, and scheduling and multi-tenancy concepts.
  • Experience building sales enablement material and working directly with sales and pre-sales teams.
  • Working knowledge of AEO/SEO fundamentals and experience collaborating with demand generation and marketing operations.
  • Portfolio of published technical writing, including blogs, tutorials, solution briefs, or case studies.

Soft Skills and team fit:

  • Curious about how AI infrastructure works.
  • Strong cross-functional collaborator, comfortable with engineers, product managers, and executives.
  • Manages multiple projects and deadlines.
  • Passion for developer communities and the cloud-native ecosystem.
  • Bias toward shipping content and iterating quickly.

Nice to have

  • Prior experience at a Kubernetes, AI infrastructure, GPU cloud, or AI platform vendor.
  • Experience contributing to developer documentation, tutorials, or sample repositories.
  • Working proficiency with AI-assisted content and design tooling.
  • Familiarity with marketing tooling, including marketing automation, CMS, web analytics, and social scheduling platforms.
  • Experience mentoring or directing junior marketing contributors or agency resources.

We offer:

  • Operate some of the most advanced AI infrastructure environments in production today.
  • Work with the latest NVIDIA GPU technologies, Kubernetes platforms, and high-performance networking environments.
  • Help define operational standards and reliability practices for next-generation AI infrastructure services.
  • Influence the adoption of AI-powered operational capabilities through k0rdent AI.
  • Work alongside highly skilled engineers solving complex infrastructure and platform challenges at scale.
  • Join a growing organisation investing heavily in AI infrastructure, platform services, and operational innovation.

We are a Leader for Container Management in G2 (#2 after AWS)!

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