Vultr

2 months ago

Senior Technical Product Manager, GPU Orchestration

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 8 hours agoStatus: Live

Job Summary

Senior Technical Product Manager to own the GPU orchestration product line, owning the roadmap for managed Kubernetes, Slurm, SUNK and Run:ai integrations. Leads end-to-end cluster lifecycle, GPU scheduling policies, and integration with core infra (networking, storage, identity, observability, billing) to deliver a scalable, reliable platform for GPU-based AI/HPC workloads.

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Product Management

Seniority: Sr. Manager level

Key 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

Pay and Benefits

Salary: USD 130,000 - 165,000 annually

Perks:Health Insurance401kPaid LeaveSabbaticalRemote OfficeGym Membership

Key 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.

Experience:7+ yearsCloud infrastructureGPU orchestrationAI infrastructureHPCDeveloper platforms

Education:Bachelor's

Skills:CommunicationProblem-solvingCollaborationLeadershipStrategic thinking

Tech Stack:KubernetesSlurmGPU schedulingRun:aiDockerAPI designCLIUIObservabilityNetworkingStorage

Company Brief

Vultr

Provides cloud infrastructure services including VPS, dedicated instances, block storage, and bare metal across global data centers. Targets developers and businesses with simple, high-performance, and cost-effective cloud compute and networking solutions.

Industry: Cloud Computing

Company Size: Large (251 to 1,000 employees)

Growth: Established Company

Headquarters: West Palm Beach, United States

Founded: 2014

Website LinkedIn

Loading job details...

Preparing the role view and application actions.

Vultr

2 months ago

Senior Technical Product Manager, GPU Orchestration

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 8 hours agoStatus: Live

Job Summary

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Product Management

Seniority: Sr. Manager level

Key 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

Pay and Benefits

Salary: USD 130,000 - 165,000 annually

Perks:Health Insurance401kPaid LeaveSabbaticalRemote OfficeGym Membership

Key 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.

Experience:7+ yearsCloud infrastructureGPU orchestrationAI infrastructureHPCDeveloper platforms

Education:Bachelor's

Skills:CommunicationProblem-solvingCollaborationLeadershipStrategic thinking

Tech Stack:KubernetesSlurmGPU schedulingRun:aiDockerAPI designCLIUIObservabilityNetworkingStorage

Company Brief

Vultr

Industry: Cloud Computing

Company Size: Large (251 to 1,000 employees)

Growth: Established Company

Headquarters: West Palm Beach, United States

Founded: 2014

Website LinkedIn