Senior Product Manager, AI Infrastructure
New
V
VultrCloud Infrastructure
Remote - United StatesFull-TimeSenior
Salary130,000 - 165,000 USD per year
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Job Details
- Experience
- 5+ years
- Required Skills
- Cloud ComputingKubernetes
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
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
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