<p>This position will play a critical role in driving end-to-end AI product introductions and AI operations initiatives supporting Meta's growing AI/HPC infrastructure for our Family of Apps . They will be responsible for overseeing the entire program lifecycle, from concept to planning to execution to monitoring, ensuring successful delivery and implementation. This includes collaborating with cross-functional Engineering teams to define scope, goals, and timelines, as well as leading the cross functional teams in delivering the business outcomes. They will help solve some of the most challenging networking problems in the industry, drive innovative, creative and ground-breaking solutions and technologies. As such, they need to understand the problem space and domain in depth, create roadmaps, prioritize based on impact and drive product development from concept to production. They will operate in a multi-organization landscape.B.S. in Computer Science or a related technical discipline, or equivalent experience. 12+ years of software engineering, systems engineering, hardware engineering, or technical product/program management experience. 8+ years experience in delivering Network solutions/Programs for Data Center applications. Experience delivering tech programs or products from inception to delivery. Experience operating autonomously across multiple teams, demonstrated critical thinking, and thought leadership. Communication experience and experience working with technical management teams to develop systems, solutions, and products. Analytical and problem-solving experience with large-scale systems. Experience establishing work relationships across multi-disciplinary teams and multiple partners in different time zones. Understanding of the Network communication stack, Network Hardware (NICs, Optics & Switches). Experience Developing & Delivering AI Cluster Solutions for training & inference use cases. Experience in Network protocols (RoCE, InfiniBand, Ethernet). Experience working with large scale distributed systems. Experience with data center architecture & Deployment. Experience working with ODMs and silicon vendors. Experience with AI training and inference model deployments to physical infrastructure.</p>