Senior Technical Product Marketing Manager

🔥 23 hours ago

🌐 Kazakhstan, United States – Remote

🇰🇿 Kazakhstan – Remote 🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🎁 Product Marketing

👻 Ghost score 22%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Mirantis

WebsiteLinkedInAll Job Openings

501 - 1000 employees

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

Mirantis is a company that specializes in container management and cloud infrastructure solutions. It offers a range of products, including Mirantis Kubernetes Engine (MKE), Mirantis OpenStack for Kubernetes (MOSK), and Mirantis Container Cloud (MCC), which provide enterprise-level Kubernetes and container management platforms. Mirantis also develops tools for secure software supply chains, such as the Mirantis Container Runtime (MCR) and Mirantis Secure Registry (MSR). As an advocate for open source technologies, Mirantis supports various projects and provides resources like Lens Desktop, a popular Kubernetes IDE, and technical support for enterprises adopting cloud-native technologies. Their solutions cater to sectors such as public services, financial services, and broader SaaS and technology services industries.

📋 Description

• Author white papers, technical blogs, architecture decision guides, and NVIDIA certification materials (NCP, NCX) • 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 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 • Translate customer and engineering learnings into technically defensible content and product-management feedback • Validate product claims in the lab before they reach customers and accurately represent current capabilities and limitations

🎯 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 (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 • Curious about how AI infrastructure works • Strong cross-functional collaborator, comfortable with engineers, product managers, and executives • Manages multiple projects and deadlines • Passion for developer communities and the cloud-native ecosystem • Bias toward shipping content and iterating quickly • Nice to have: Background in GPU-as-a-service, neocloud, HPC, or hyperscaler infrastructure • Nice to have: Direct NVIDIA ecosystem experience, including NCP and NCX certification programs, DGX/HGX and GB200/GB300 NVL-class systems, BlueField DPUs, and Spectrum-X or Quantum fabrics • Nice to have: Familiarity with Cluster API, bare metal provisioning, k0s, k3s, Talos, or comparable cluster lifecycle tooling • Nice to have: Exposure to sovereign AI, regulated-industry, or public-sector infrastructure procurement • Nice to have: Record of accepted conference sessions or a body of published technical writing

🏖️ 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 • Remote work