vultr - Senior Product Manager, AI Infrastructure
Upload My Resume
Drop here or click to browse · Tap to choose · PDF, DOCX, DOC, RTF, TXT
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
Benefits
• $130,000 - $165,000 • Final compensation will vary depending on years of experience, background/skill set, location, and applicable laws. • INCLUSION & PRIVACY
No credit card. Takes 10 seconds.