Remote Product management Jobs · Kubernetes

Job listings

  • Define the strategy, roadmap, and feature priorities for k0rdent AI Kubernetes services, empowering Neocloud operators to launch managed Kubernetes on their own GPU infrastructure.
  • Translate requirements from NeoClouds, GPU clouds, telcos, and enterprise platform teams into clear product direction and partner with engineering to ship secure, scalable cluster lifecycle capabilities.
  • Manage the Kubernetes backlog, define positioning and competitive differentiation, and create field-facing assets to support strategic accounts.

Mirantis is the Kubernetes-native AI infrastructure company, enabling organizations to build and operate scalable, secure, and sovereign infrastructure for modern AI. They have a world-class, distributed team committed to openness and technical excellence.

  • Define product vision and oversee lifecycle of backend tolling solutions.
  • Create and maintain backlog with detailed user stories.
  • Communicate with stakeholders and lead agile team in an international environment.

Deutsche Telekom IT Solutions is a subsidiary of Deutsche Telekom Group providing IT and telecommunications services. With over 5,300 employees, the company is recognized as Hungary's most attractive employer and has won awards for ethical conduct.

  • Own the vision, roadmap, and priorities for k0rdent AI observability across the full stack: GPU compute, networking, storage, and workload schedulers.
  • Translate requirements from diverse customers into clear product direction and partner with engineering to define requirements.
  • Manage the observability backlog using feedback from production deployments and design partners to refine priorities.

Mirantis is a Kubernetes-native AI infrastructure company that enables organizations to build and operate scalable, secure, and sovereign infrastructure for modern AI workloads. It is a distributed team committed to openness and technical excellence.

$200,000–$230,000/yr

  • Lead product engagement with strategic AI infrastructure customers to define requirements and drive execution from discovery to production readiness.
  • Collaborate cross-functionally with engineering, infrastructure, and operations teams to deliver customer-ready solutions.
  • Translate complex customer needs into clear product priorities, technical specifications, and scalable AI infrastructure offerings.

Vultr provides high-performance cloud infrastructure solutions, including Cloud Compute, GPU, Bare Metal, and Storage, with 33 global data centers. It is a privately-held company valued at $3.5 billion, trusted by hundreds of thousands of customers across 185 countries, and known for its self-funded growth and inclusive culture.

  • Act as a trusted technical advisor to C-level executives on AI and analytics infrastructure.
  • Design and validate complex enterprise architectures for AI/ML pipelines and data lakehouses.
  • Represent the company as a thought leader through conferences, whitepapers, and customer engagements.

The company provides high-performance object storage solutions for AI and analytics workloads. The size and culture are not specified in the posting.

  • Build the technical product marketing function for the Provider business, creating collateral like white papers, reference architectures, and demo environments.
  • Directly support pipeline development by partnering with sales and solution architects through technical storytelling and proof-points.
  • Develop competitive intelligence and represent Mirantis as a credible technical voice on GPU infrastructure and sovereign AI.

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. It empowers platform engineering teams across any environment with a strong benefits plan and professional development.

  • Own engineering programs end to end from definition through delivery across multiple teams.
  • Act as central coordination point across engineering, product, design, security, and go-to-market.
  • Improve engineering productivity through better tooling and lightweight processes.

Coder is the leading platform for AI development infrastructure, enabling enterprises to securely run human and AI-driven development workflows. They provide self-hosted, agent-ready workspaces that unify developer productivity and platform governance.