Senior Technical Product Manager, GPU Orchestration

🕒 May 14

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Logo of Vultr

Vultr

201 - 500 employees

Founded 2014

🤖 Artificial Intelligence

🤝 B2B

🔧 Hardware

💰 $329M Debt Financing - Vultr on 2025-06

Artificial Intelligence • B2B • Hardware

Vultr is a global cloud infrastructure provider offering on-demand virtual machines, bare-metal servers, GPU-accelerated instances, managed databases, object and block storage, Kubernetes, and networking services. The platform emphasizes AI and HPC workloads with a broad selection of AMD and NVIDIA GPUs, fast networking, and 32+ data center regions, plus a marketplace of deployable apps and developer-friendly APIs. Vultr targets developers and businesses seeking affordable, scalable, and compliant cloud compute and storage alternatives to hyperscalers.

📋 Description

• 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)

🏖️ Benefits

• 100% company-paid insurance premiums for employee medical, dental and vision plans. • 401(k) plan that matches 100% up to 4%, with immediate vesting • Professional Development Reimbursement of $2,500 each year • 11 Holidays + Paid Time Off Accrual + Rollover Plan • Commitment matters to Vultr! Increased PTO at 3 year and 10 year anniversary + 1 month paid sabbatical every 5 years + Anniversary Bonus each year • $500 stipend for remote office setup in first year + $400 each following year • Internet reimbursement up to $75 per month • Gym membership reimbursement up to $50 per month • Company paid Wellable subscription

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