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Role Overview:
- 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.
- Drive alignment across customer needs, product roadmap, architecture decisions, and delivery execution.
Key Responsibilities:
- 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.
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).
- Proven ability to collaborate with engineering teams to deliver complex infrastructure products.
Vultr
Vultr provides high-performance cloud infrastructure solutions, including Cloud Compute, GPU, Bare Metal, and Storage, with 33 global data centers. It is a privately-held company valued at $3.5 billion, trusted by hundreds of thousands of customers across 185 countries, and known for its self-funded growth and inclusive culture.