Senior Product Manager, AI Infrastructure

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. The Senior Product Manager, AI Infrastructure will work directly with customers and engineering teams to define, build, and deliver AI infrastructure capabilities for large-scale GPU workloads.

Responsibilities:

• Own the discovery and definition of customer requirements for AI infrastructure use cases, including training, inference, GPU clusters, bare metal, managed orchestration, networking, and storage
• Work directly with strategic customers to understand their technical needs, deployment timelines, workload patterns, and success criteria
• Translate customer requirements into clear product requirements, technical specifications, and engineering priorities
• Partner closely with engineering, infrastructure, networking, storage, and operations teams to deliver customer-ready solutions
• Drive alignment across customer needs, product roadmap, architecture decisions, and delivery execution
• Understand and define requirements across GPU compute, CPU, memory, local and shared storage, high-performance networking, cluster topology, and orchestration layers such as Kubernetes and Slurm
• Support customer conversations around infrastructure design, capacity planning, performance expectations, operational readiness, and acceptance criteria
• Help define product capabilities that can scale beyond a single customer into repeatable AI infrastructure offerings

Requirements:

• 5+ years of experience in technical product management, with focus on infrastructure, cloud computing, or AI/ML platforms
• Deep technical understanding of GPU compute, high-performance networking (InfiniBand, RoCE), distributed storage, and cluster orchestration (Kubernetes, Slurm)
• Experience working directly with enterprise customers to define infrastructure requirements and translate them into product specifications
• Strong understanding of AI/ML workloads including training, fine-tuning, and inference at scale
• Proven ability to collaborate with engineering teams to deliver complex infrastructure products
• Excellent written and verbal communication skills, with the ability to engage both technical and executive audiences
• Experience with bare metal infrastructure and managed cloud services
• Bachelor's degree in Computer Science, Engineering, or related technical field
• advanced degree preferred