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 environmenton-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/](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 Qualifications**
* 47 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
----------------------
**What does Mirantis offer you?**
* 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
We are a[Leader for Container Management](https://www.g2.com/reports/grid-report-for-container-management-spring-2022.embed?featured=mirantis-kubernetes-engine-formerly-docker-enterprise&secure%5Bgated_consumer%5D=7ed17484-74e3-4ce8-8ad6-b48b395fbf56&secure%5Btoken%5D=f4b909a5c1a2d1aa71dee93761486db5732a5b82abd47aa75f3353da41e3b92c&utm_campaign=gate-817340)in G2 (#2 after AWS)!