Vultr
Cloud Infrastructure
SeniorTechnicalProductManager,GPUOrchestration
“Senior Technical Product Manager, GPU Orchestration at Vultr. Skills: GPU Orchestration, Kubernetes, Slurm, Container orchestration, HPC scheduling, Distributed systems. 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”
What You'll Achieve.
Build a reliable, scalable, and cost-efficient orchestration platform; Measurable impact on reliability, adoption, or operational efficiency
Industry & Context.
What They're Looking For.
Must Have
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, 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)
What You'll Do.
Define and execute the roadmap for managed Kubernetes
managed Slurm services
and Run: ai integration
Own the end-to-end cluster lifecycle
including provisioning
Establish scheduling and resource management capabilities for GPU workloads
multi-tenant isolation
and priority handling
Drive integration between orchestration services and core infrastructure components
Define service-level objectives for control plane reliability
job scheduling latency
and upgrade stability
and UI workflows that enable self-service cluster management and workload operations
Partner with customer-facing teams to understand training
translating real workload requirements into product capabilities
Monitor industry trends in container orchestration
and AI infrastructure to inform product direction
How You'll Work.
Team & Collaboration
Close partnership with Infrastructure, Compute, Networking, and Platform teams; Experience working across cross-functional teams (engineering, design, marketing, sales)
Communication Scope
Excellent written and verbal communication skills; Ability to translate complex technical concepts for diverse audiences
Process & Methodology
Define and execute the roadmap
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