Senior Technical Product Manager, GPU Orchestration

WHO WE ARE Vultr is on a mission to make high-performance cloud infrastructure easy to use, affordable, and locally accessible for enterprises and AI innovators around the world. With 33 global cloud data center locations, Vultr is trusted by hundreds of thousands of active customers across 185 countries for its flexible, scalable, global Cloud Compute, Cloud GPU, Bare Metal, and Cloud Storage solutions. In December 2024 Vultr announced an equity financing at a $3.5 billion valuation. Founded by David Aninowsky and self-funded for over a decade, Vultr has grown to become the world’s largest privately-held cloud infrastructure company. Vultr Cares - 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 Join Vultr Vultr is seeking a highly skilled and experienced Senior Techincal Product Manager to own the GPU Orchestration product line — the platform that powers managed Kubernetes, managed Slurm, SUNK, and Run:ai integration for GPU-based AI and HPC workloads. The ideal candidate brings deep technical fluency in container orchestration, HPC scheduling, and distributed systems, combined with a strong product instinct for developer and operator platforms. This is a highly visible role in a high-growth technology company, which will require close partnership with Infrastructure, Compute, Networking, and Platform teams to build a reliable, scalable, and cost-efficient orchestration platform. This is your opportunity to join our fast growing team and leave your mark on Vultr and the future of AI Infrastructure. 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 - 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 Qualifications - 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 i