Mirantis
Technical Product Marketer, k0rdent AI – remote in the US
USARemotePosted Today
Full TimeRemoteUS
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Job Description
Company DescriptionMirantis is the Kubernetes-native AI infrastructure company, enabling organizations to build and operate scalable, secure, and sovereign infrastructure for modern AI, machine learni
Key Highlights
- 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.
Qualifications
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 platformsAI/ML infrastructure, including model serving, inference, GPU resource management, and MLOps toolingHybrid and multi-cloud deployment patterns across AWS, GCP, and Azure
- 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.
- 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 platformsAI/ML infrastructure, including model serving, inference, GPU resource management, and MLOps toolingHybrid and multi-cloud deployment patterns across AWS, GCP, and Azure
- 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.
Preferred Qualifications
- 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.
Skills & Technologies
KubernetesMachine LearningGoAWSGCP
About the Company
Mirantis
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Job Details
Employment Type
Full Time
Location
USA
Work Mode
Remote
Posted
Today
Country
US