Technical Product Marketer, k0rdent AI - remote in the US

Mirantis•Austin, TX

2h•Remote

About The Position

Mirantis is seeking a Technical Product Marketer to develop and maintain core positioning, messaging frameworks, and value propositions for their AI infrastructure and cloud-native platform portfolio. This role involves translating highly technical product capabilities into audience-specific narratives for practitioners, platform engineers, and C-suite buyers. The position also requires owning the competitive intelligence function, producing high-quality technical content, supporting demand generation campaigns, building sales enablement materials, and monitoring trends in the AI infrastructure, cloud-native, and open-source ecosystems. The role supports product launches, analyst and media briefings, and represents Mirantis at industry events.

Requirements

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
Demonstrated ability to understand and credibly communicate complex technical concepts related to: AI/ML infrastructure, including model serving, inference, GPU resource management, and MLOps tooling
Demonstrated ability to understand and credibly communicate complex technical concepts related to: 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.
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 Haves

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.

Responsibilities

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.