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About the Role

Mirantis is seeking a Senior Technical Product Marketing Manager to own the technical proof for k0rdent AI, our AI infrastructure platform. This role involves creating white papers, demos, benchmarks, and competitive analyses to support sales engineers, solution architects, and customer infrastructure teams. You will engage with customers and prospects, translating insights into technically defensible content and feedback for product management. Collaboration with engineering, product management, and solution architects is key to validating claims, building demos, and supporting customer technical deep dives.

Responsibilities

• Author white papers, technical blogs, architecture decision guides, and NVIDIA certification materials for platform engineers and infrastructure architects.
• Build and maintain the technical demo portfolio, including live demos, recorded walkthroughs, and supporting lab environments.
• Lead technical competitive analysis, including hands-on evaluation of competing platforms.
• Translate engineering and field data into defensible technical claims.
• Engage directly with customers and prospects in technical deep dives and architecture reviews.
• Enable sales engineering and solution architects with POC success criteria and test plans.
• Support analyst and technical media briefings and present at conferences.
• Deliver structured roadmap input to product management based on POC patterns and competitive analysis.

Requirements

• 6+ years across technical product marketing, technical marketing engineering, solutions architecture, or infrastructure engineering, including externally facing technical content.
• 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, training and scheduling, and MLOps tooling.
• 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.
• Strong cross-functional collaborator, comfortable with engineers, product managers, and executives.
• Manages multiple projects and deadlines.
• Bias toward shipping content and iterating quickly.

Skills

• Kubernetes
• Bare-metal infrastructure
• Accelerated infrastructure
• InfiniBand
• RoCE fabrics
• GPU node provisioning
• NVIDIA GPU Operator
• MIG
• DPUs
• AI infrastructure stack
• Inference serving
• Training and scheduling
• MLOps tooling
• Technical writing
• Competitive analysis
• Technical presentations

Location

• Remote

Work Type

• Remote

Experience Level

• Senior

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.
• Join a growing organisation investing heavily in AI infrastructure, platform services, and operational innovation.

About the Company

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