Principal Product Manager - AI Infrastructure
Full-time
Vultr
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
Vacancy posted 3 days ago
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