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Own full sales cycle to acquire and expand enterprise customers for AI infrastructure. Develop territory sales plans, engage C-level stakeholders, collaborate with sales engineering, draft SOWs, negotiate contracts, and close complex deals.

Lead design and deployment of customer infrastructure across cloud and bare-metal, manage Kubernetes clusters, build and optimize CI/CD pipelines, operate development/staging/production environments, drive automation, mentor junior engineers, and coordinate knowledge transfer with customers and distributed teams.

Lead design, deployment, and operation of customer infrastructure and Kubernetes clusters across cloud and bare metal, build and optimize CI/CD pipelines, mentor engineers, transfer knowledge to customers, and improve deployment tooling and processes.

Lead design, implementation, and optimization of customer infrastructure and CI/CD pipelines across cloud and bare metal; manage Kubernetes clusters, containerization, monitoring, and deployments; mentor engineers, enable customers, and improve tooling and processes.

Lead design, deployment, and operation of customer infrastructure and Kubernetes clusters across cloud and bare metal, build and optimize CI/CD pipelines, monitor environments, mentor junior engineers, transfer knowledge to customers, and improve tooling and deployment processes.

The role involves managing and expanding Tier 1 enterprise accounts, driving cloud-native platform modernization, and engaging with C-level executives on complex sales cycles.

The Technical Product Manager will define the networking strategy for k0rdent AI, manage the roadmap, and collaborate with engineering, marketing, and field teams on product requirements and positioning.

The role involves managing Tier 1 enterprise accounts in Southern Europe, driving expansion and modernization initiatives for Kubernetes and cloud platforms, and leading complex sales cycles from planning to closure.

As a Technical Product Manager at Mirantis, you will own the storage strategy for k0rdent AI, managing the development and features for GPU cloud storage while collaborating closely with engineering and marketing teams.

The Senior QA Engineer will lead QA strategies for cloud-native and storage systems, focusing on automation, reliability, and performance while mentoring junior engineers.