Technical Product Marketer, k0rdent AI - remote in the US

Remote

About the role

Mirantis 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, Mirantis 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, Mirantis 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, Mirantis ensures that customers retain full control of their infrastructure strategy. https://www.mirantis.com/ 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. 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 Mirantis 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)!

About Mirantis

Mirantis develops cloud infrastructure and container management software that enables organizations to build, operate, and scale applications across multi-cloud, hybrid, and edge environments. The company provides platforms based on open-source technologies such as Kubernetes and OpenStack, allowing enterprises to manage compute, storage, and networking resources through unified orchestration systems. Its core product suite includes solutions such as Mirantis Kubernetes Engine and Mirantis Container Cloud, which support deployment, lifecycle management, and automation of containerized applications across distributed environments. These platforms enable organizations to run workloads consistently across private infrastructure and public cloud providers while maintaining centralized control and visibility.

Mirantis also develops AI infrastructure management tools that help organizations deploy and operate GPU-powered workloads and machine learning applications. Its software integrates automation, governance, and orchestration capabilities to manage the full lifecycle of AI systems, from infrastructure provisioning to application deployment.

Other roles at Mirantis

Interested?

Let me introduce you to the founders.

Skip the process

Refer someone

Know someone great for this role?

Share your link. If they get hired through Standout, you get $3,000.

Job details

Location

Remote

Company

NameMirantis
IndustryAI
Team Size4

Funding

Total raised

$220M

Last stage

Series C

Investors

Intel Capital
Insight Partners
Sapphire Ventures
Goldman Sachs
AAugust Capital

Founders

BR

Boris Renski

Co-Founder (Former CMO)

Adrian Ionel

Adrian Ionel

Co-Founder (Former CEO)

LinkedIn
Alex Freedland

Alex Freedland

Co-Founder & CEO

LinkedIn

What happens next.

No applications, no recruiter spam. Just the intro.

01

Confirm the fit

A few questions to make sure this role is the right shape for you. Two minutes.

02

I pitch you to the company

I write the intro, send it to the founder, and handle the back-and-forth.

03

A meeting lands on your calendar

If they’re a yes, I book the chat. You show up — that’s the whole job-hunt.