Technical Product Marketer, k0rdent AI - remote in the US

• Develop and maintain core positioning, messaging frameworks, and value propositions for the company’ 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 the company’ positioning in key industry conversations and reports.

• Represent the company’ platform perspective at industry events, webinars, and community forums as a subject matter resource.

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 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.

What does the company 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

#remote

We are a  Leader for Container Management  in G2 (#2 after AWS)!

The company 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, the company empowers platform engineering teams to deliver composable, production-ready developer platforms across any environment—on-premises, in the cloud, at the edge, or in sovereign data centers. As enterprises navigate the growing complexity of AI-driven workloads, the company 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, the company ensures that customers retain full control of their infrastructure strategy.

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