Technical Product Marketer, k0rdent AI - remote in the US
Technical Product Marketer, k0rdent AI - remote in the US
Posted yesterday
SENIORITY
Lead
About the role
- ">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.
- Kubernetes, container orchestration, and cloud-native platformsAI/ML infrastructure, including model serving, inference, GPU resource management, and MLOps tooling
- Hybrid and multi-cloud deployment patterns across AWS, GCP, and AzureStrong 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.
- 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, Spectro
- Cloud, 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.
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
