Senior Technical Product Manager AI Infrastructure

Kforce Inc is seeking a Senior Technical Product Manager AI Infrastructure. The role involves owning the discovery and definition of customer requirements for AI infrastructure use cases and partnering with various teams to deliver customer-ready solutions.

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

Requirements:

• Bachelor's degree in Computer Science, Engineering, or related technical field
• 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
• Advanced degree preferred