高级技术产品经理，k0rdent AI - 远程
Senior Technical Product Marketing Manager, k0rdent AI - Remote
Mirantis 是一家以 Kubernetes 为核心的 AI 基础设施公司，使组织能够构建和运营可扩展、安全且自主的基础设施，用于现代 AI、机器学习和数据密集型应用。通过将开源创新与对 Kubernetes 编排的深入专业知识相结合，Mirantis 赋能平台工程团队在任何环境中——本地部署、云上、边缘或自主数据中心——交付可组合、生产就绪的开发者平台。随着企业应对日益复杂的 AI 驱动的工作负载，Mirantis 提供了自动化、GPU 编排和策略驱动的控制，以自信和敏捷的方式管理基础设施。致力于开放标准并避免供应商锁定，Mirantis 确保客户对其基础设施战略拥有完全控制权。
Mirantis 为许多世界领先的 enterprises 提供服务，包括 Adobe、DocuSign、Liberty Mutual、PayPal、Reliance Jio、Societe Generale、Splunk 和 Volkswagen。了解更多信息，请访问 www.mirantis.com。
Mirantis 正在寻找一位专注于 k0rdent AI 的高级技术产品营销经理，这是我们 AI 基础设施平台。您将负责我们把 k0rdent AI 推向市场时的技术验证：白皮书、演示、基准测试和竞争分析，这些内容是销售工程师、解决方案架构师和客户基础设施团队所依赖的。
您将花大量时间与客户、潜在客户以及构建和部署 k0rdent AI 的工程师和架构师在一起，将您学到的内容转化为技术上站得住脚的内容，并为产品管理提供反馈。
作为产品营销团队的一员，您将与工程、产品管理和解决方案架构师紧密合作，验证宣传内容，构建演示，并支持客户的深入技术探讨和分析师简报。
理想的候选人是一位亲力亲为的基础设施实践者，能够权威地撰写和演讲。您将在内容到达客户之前，在实验室中验证其真实性，理解 k0rdent AI 在哪些地方有优势、哪些地方没有，准确地展示其能力，包括当前的局限性。
职位描述：
· 为平台工程师和基础设施架构师撰写白皮书、技术博客、架构决策指南和 NVIDIA 认证材料（NCP、NCX）。
· 构建和维护技术演示组合，包括现场演示、录制的流程演示和覆盖裸金属部署的配套实验环境。
查看英文原文
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:
· 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, as an operator or a vendor to them.
· 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.
· Familiarity with Cluster API, bare metal provisioning, k0s, k3s, Talos, or comparable cluster lifecycle tooling.
· Exposure to sovereign AI, regulated-industry, or public-sector infrastructure procurement.
· Record of accepted conference sessions or a body of published technical writing.
We offer:
· 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.
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