Senior Technical Product Manager, GPU Orchestration

Vultr is a leading provider of high-performance cloud infrastructure, dedicated to making it accessible for enterprises and AI innovators. They are seeking a Senior Technical Product Manager to own the GPU Orchestration product line, focusing on managed Kubernetes and GPU-based AI workloads.

Responsibilities:

• Define and execute the roadmap for managed Kubernetes, managed Slurm services, SUNK, and Run:ai integration
• Own the end-to-end cluster lifecycle, including provisioning, configuration, upgrades, scaling, high availability, and decommissioning
• Establish scheduling and resource management capabilities for GPU workloads, including quotas, fair-share policies, multi-tenant isolation, and priority handling
• Drive integration between orchestration services and core infrastructure components, including networking, storage, identity, observability, and billing systems
• Define service-level objectives for control plane reliability, job scheduling latency, cluster availability, and upgrade stability
• Design APIs, CLI tooling, and UI workflows that enable self-service cluster management and workload operations
• Partner with customer-facing teams to understand training, inference, and HPC use cases, translating real workload requirements into product capabilities
• Monitor industry trends in container orchestration, HPC scheduling, distributed systems, and AI infrastructure to inform product direction

Requirements:

• 7+ years of product management experience in cloud infrastructure, container orchestration, HPC, or developer platforms
• Deep understanding of Kubernetes, Slurm, or similar orchestration and scheduling systems, including GPU scheduling, resource management, and multi-tenant isolation
• Experience defining product strategy and roadmaps for platform or infrastructure products at scale
• Strong technical background — ability to engage with engineering on cluster lifecycle, control plane reliability, API design, and distributed systems
• Experience with AI/ML infrastructure, including training workloads, inference serving, and GPU resource optimization
• Track record of shipping developer- and operator-facing products with measurable impact on reliability, adoption, or operational efficiency
• Experience working across cross-functional teams (engineering, design, marketing, sales) in a fast-paced environment
• Excellent written and verbal communication skills, with the ability to translate complex technical concepts for diverse audiences
• Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience)