Principal Product Manager - AI Infrastructure

Join Vultr

Vultr’s strategic customers often have unique and complex requirements across infrastructure architecture, performance, requiring close product engagement from discovery through production readiness. Vultr is seeking a Principal Product Manager to lead product engagement with our largest and most strategic customers. This role will work directly with customer and cross-functional teams to understand complex AI infrastructure requirements, define solutions, and drive execution from early discovery through deployment and production readiness.

The ideal candidate combines strong customer-facing product leadership with deep technical knowledge across GPU compute, storage, networking, cluster orchestration, and large-scale AI workload infrastructure. They will act as a trusted product partner in Vultr’s most important AI infrastructure engagements, translating customer requirements into clear product priorities, technical specifications, and executable engineering plans.

Key Responsibilities

• Lead product engagement and requirements discovery for Vultr’s most strategic AI infrastructure customers
• 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

Qualifications

• 8+ 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)
• Deep AI infrastructure expertise: strong technical knowledge across GPU compute, high-performance networking, storage, bare metal, and Kubernetes or Slurm environments
• 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