Principal AI Infrastructure Product Manager - GPU & Cloud

Socket.dev; United States; Hybrid; USD 200,000 - 230,000; Full time

Job summary

Vultr is seeking a Principal Product Manager to lead product engagement with our largest AI infrastructure customers. This role will partner with engineering, infrastructure, networking, storage, and operations teams to understand complex AI infrastructure requirements, define solutions, and drive execution from discovery through deployment and production readiness.

The ideal candidate combines strong customer-facing product leadership with deep technical knowledge across GPU compute, storage,

Qualifications

• 8+ years of experience in technical product management for infrastructure/cloud/AI platforms.
• Excellent written and verbal communication with technical and executive audiences.
• Experience working directly with enterprise customers to translate requirements into product specs.
• Deep knowledge of AI workloads, training, fine-tuning, inference at scale.
• Ability to collaborate with engineering to deliver complex infrastructure products.

Responsibilities

• Lead product engagement and requirements discovery for strategic AI infrastructure customers.
• Define and translate customer requirements into product specifications and engineering priorities.
• Collaborate with engineering, networking, storage, and operations to deliver customer-ready solutions.
• Drive alignment between customer needs, roadmap, and delivery milestones.
• Support design decisions across GPU compute, networking, storage, and orchestration layers.

Skills

Technical product management

Customer engagement

Cross-functional collaboration

Executive communication

Education

Bachelor's in CS/Engineering

Advanced degree preferred

Tools

Kubernetes

Slurm

Job description

Vultr is seeking a Principal Product Manager to lead product engagement with our largest AI infrastructure customers. This role will partner with engineering, infrastructure, networking, storage, and operations teams to understand complex AI infrastructure requirements, define solutions, and drive execution from discovery through deployment and production readiness.

The ideal candidate combines strong customer-facing product leadership with deep technical knowledge across GPU compute, storage,