Mirantis
Senior Technical Product Marketing Manager, k0rdent AI - Remote
Remote role where the employee must remain based in a particular country.
United States only
Employer listed it 2 weeks ago · Added today
Been open since 2 weeks ago, still being checked, but it has been live a while.
Salary
Not stated
Location
United States only
Timezone
US East
Contract
Full-time
Experience
Senior
Category
Marketing
This employer didn't state pay. Jobs like this usually pay around $125k–$185k a year, a typical range taken from 229 senior-level marketing roles on Nomaders that do state pay. It's a guide, not an offer.
Remote flexibility
Work from home
This is a remote role, but the employee must be based in United States. It is work from home rather than work from anywhere.
What the employer says
- Source listing states candidate location: "Austin, TX, United States, Austin, TX, us, Remote"
What Nomaders makes of it
- Residency required in United States
- Payroll and tax are likely handled in that country only
The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.
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.
Mirantis serves many of the world’s leading enterprises, including Adobe, DocuSign, Liberty Mutual, PayPal, Reliance Jio, Societe Generale, Splunk, and Volkswagen. Learn more at  www.mirantis.com .
Mirantis is seeking a Senior Technical Product Marketing Manager focused on k0rdent AI, our AI infrastructure platform. You will be responsible for the technical proof behind how we bring k0rdent AI to market: white papers, demos, benchmarks, and competitive analysis that sales engineers, solution architects, and customer infrastructure teams rely on.
You will spend much of your time with customers, prospects, and the engineers and architects who build and deploy k0rdent AI, translating what you learn into technically defensible content and into feedback for product management.
As part of the Product Marketing team, you will work hand in hand with engineering, product management, and solution architects to validate claims, build demos, and support customer technical deep dives and analyst briefings.
The ideal candidate is a hands-on infrastructure practitioner who can write and present with authority. You will validate claims in the lab before they reach customers, understand where k0rdent AI wins and where it doesn't, and represent its capabilities accurately, including current limitations.
Job Description:
Author white papers, technical blogs, architecture decision guides, and NVIDIA certification materials (NCP, NCX) for platform engineers and infrastructure architects.
Build and maintain the technical demo portfolio, including live demos, recorded walkthroughs, and supporting lab environments spanning bare-metal provisioning, GPU cluster handoff, and AI workload deployment.
Lead technical competitive analysis, including hands-on evaluation of competing platforms and emerging neocloud control planes.
Translate engineering and field data into defensible technical claims across cluster turn-up time, provisioning success rate at node scale, NCCL and fabric benchmark results, GPU utilization and allocation efficiency, failure-domain behavior, and multi-tenant isolation.
Engage directly with customers and prospects in technical deep dives and architecture reviews, alongside sales engineering and solution architects.
Enable sales engineering and solution architects with POC success criteria and test plans, discovery guides, and sizing and TCO models.
Support analyst and technical media briefings (Gartner, Forrester, S&P Global/451 Research, Omdia, technical press, podcasts), and present at conferences such as KubeCon, NVIDIA GTC, and RAISE.
Deliver structured roadmap input to product management based on POC patterns, recurring technical objections, and competitive loss analysis.
Required qualifications:
6+ years across technical product marketing, technical marketing engineering, solutions architecture, or infrastructure engineering, including externally facing technical content. Solution architects and TMEs moving into marketing are encouraged to apply.
Hands-on Kubernetes competence, including cluster operation, CRDs and controllers, and troubleshooting.
Depth in bare-metal and accelerated infrastructure across several of: server provisioning and lifecycle, InfiniBand and RoCE fabrics, GPU node provisioning and health, NVIDIA GPU Operator and MIG, DPUs, and data center power and cooling constraints.
Working knowledge of the AI infrastructure stack, including inference serving (e.g., vLLM, TensorRT-LLM, NIM), training and scheduling (e.g., Slurm, Soperator), and MLOps tooling (e.g., Kubeflow, Ray).
Experience presenting to and fielding questions from infrastructure architects and technical buyers.
Portfolio of published technical writing, including white papers, or technical blogs.
Willingness to travel for customer engagements and industry events.
Soft skills and team fit:
Requirements
- ·Hands-on Kubernetes competence, including cluster operation, CRDs and controllers, and troubleshooting.
- ·Working knowledge of the AI infrastructure stack, including inference serving (e.g., vLLM, TensorRT-LLM, NIM), training and scheduling (e.g., Slurm, Soperator), and MLOps tooling (e.g., Kubeflow, Ray).
- ·Experience presenting to and fielding questions from infrastructure architects and technical buyers.
- ·Portfolio of published technical writing, including white papers, or technical blogs.
- ·Willingness to travel for customer engagements and industry events.
Benefits
- ·Operate some of the most advanced AI infrastructure environments in production today.
- ·Work with the latest NVIDIA GPU technologies, Kubernetes platforms, and high-performance networking environments.
- ·Help define operational standards and reliability practices for next-generation AI infrastructure services.
- ·Influence the adoption of AI-powered operational capabilities through k0rdent AI.
- ·Work alongside highly skilled engineers solving complex infrastructure and platform challenges at scale.
How to apply
- 1Check the flexibility label above, work from home, matches where you plan to live and work.
- 2Tailor your CV to the role at Mirantis, mentioning your remote working experience and working hours (US East).
- 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.
Found 15h ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.
Listing sourced from Company boards.
Similar roles
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Free to apply, no account needed.
Typically $125k to $185k per year · You'll be taken to the employer's careers page.