TECHNICAL PRODUCT MARKETER, K0RDENT AI - REMOTE IN THE US

Mirantis

Full-timemid

Job description

<ul><li>Develop and maintain core positioning, messaging frameworks, and value propositions for Mirantis’ AI infrastructure and cloud-native platform portfolio.</li><li>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.</li><li>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.</li><li>Produce a steady cadence of high-quality technical content: solution briefs, white papers, blog posts, use case studies, reference architectures, and demo scripts.</li><li>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.</li><li>Support demand generation campaigns with compelling assets aligned to key personas: AI/ML engineers, platform ops teams, and infrastructure decision-makers.</li><li>Build and maintain sales enablement materials, including pitch decks, battlecards, objection-handling guides, and ROI frameworks.</li><li>Partner with solution architects and sales teams to distill field learnings into sharper messaging and better-targeted content.</li><li>Support product launches with go-to-market plans, launch kits, and internal training materials.</li><li>Monitor trends across the AI infrastructure, cloud-native, and open-source ecosystems to surface market insights that inform GTM strategy.</li><li>Support analyst and media briefings; contribute to Mirantis’ positioning in key industry conversations and reports.</li><li>Represent Mirantis’ platform perspective at industry events, webinars, and community forums as a subject matter resource.</li></ul> Required Qualifications<ul><li>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.</li><li>Demonstrated ability to understand and credibly communicate complex technical concepts related to:<ul><li>Kubernetes, container orchestration, and cloud-native platforms</li><li>AI/ML infrastructure, including model serving, inference, GPU resource management, and MLOps tooling</li><li>Hybrid and multi-cloud deployment patterns across AWS, GCP, and Azure</li></ul></li><li>Strong writing and storytelling skills — able to produce clear, engaging content for both technical and business audiences without heavy editing.</li><li>Experience developing sales enablement materials and working directly with sales and pre-sales teams.</li><li>Familiarity with the competitive landscape across cloud infrastructure, AI platforms, and open-source ecosystems (e.g., Red Hat, NVIDIA, Canonical, Rancher/SUSE, HashiCorp).</li><li>Comfort working in a fast-paced, distributed environment with a high degree of autonomy. </li></ul>Soft Skills and Team Fit<ul><li>Intellectually curious with a genuine interest in how AI infrastructure works under the hood.</li><li>Strong cross-functional collaborator — comfortable engaging with engineers, product managers, and executives alike.</li><li>Structured thinker who can manage multiple projects and deadlines without losing narrative coherence.</li><li>Passion for open source, developer communities, and the cloud-native ecosystem.</li><li>Entrepreneurial mindset with a bias toward shipping content and iterating quickly.</li></ul>Nice to Have<ul><li>Hands-on experience with Kubernetes, MLflow, Kubeflow, Ray, or similar infrastructure tooling.</li><li>Background in or exposure to AI/ML engineering, DevOps, or platform engineering.</li><li>Prior experience in or familiarity with companies like RunPod, SpectroCloud, Rafay, Anyscale, Hugging Face, Together AI, or Modal.</li><li>Experience supporting analyst relations or contributing to industry research and reports.</li><li>CNCF ecosystem knowledge or cloud/Kubernetes certifications a plus.</li></ul> What does Mirantis offer you?<ul><li>Work with an established Silicon Valley leader in the cloud infrastructure industry.</li><li>Work with exceptionally passionate, talented and engaging colleagues, helping Fortune 500 and Global 2000 customers implement next-generation cloud technologies.</li><li>Be a part of cutting-edge, open-source innovation.</li><li>Thrive in the high-energy environment of a young company where openness, collaboration, risk-taking, and continuous growth are valued.</li><li>Receive a competitive compensation package with strong benefits plan</li></ul>#remote <div sr-tagline=""></div>We are a <a target="_blank" href="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" rel="noopener noreferrer">Leader for Container Management</a> in G2 (#2 after AWS)!