Technical Program Manager, AI Network Infra

Meta Platforms, Inc.•Denver, CO

35d

About The Position

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.

Requirements

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

Nice To Haves

Experience working with ODMs and silicon vendors.
Experience in Network protocols (RoCE, InfiniBand, Ethernet).
Experience working with large scale distributed systems.
Experience with data center architecture & Deployment.
Experience with AI training and inference model deployments to physical infrastructure.

Responsibilities

Lead technical program management of next-generation Artificial Intelligence/Machine Learning (AI/ML) platform(s) for Meta's Network Infrastructure in a matrix organization covering a range of areas (Data Center, Network, Hardware Systems, Infrastructure Engineering, Software Engineering, Capacity Management) and across multiple physical locations
Collaborate with Engineering and business owners to define program requirements, set priorities, and establish scope which includes defining the roadmap and long-term strategy of the teams that you are partnering with
Manage cross functional dependencies, risks, and changes effectively by optimizing scope, schedule, and resources accordingly
Develop and own communication plans to effectively and proactively communicate program status, issues, and risks to stakeholders
Partner with cross functional teams to drive technical analysis, design, development, testing, implementation, and post implementation phases
Define and track key metrics and key quality and performance indicators and drive cross functional execution of program deliverables
Proactively identify and analyze complex, long-term, critical infrastructure problems with engineering leaders and stakeholders
Drive internal and external process improvements across multiple teams and functions including reducing the manual efforts through automation
Build aligned program teams to efficiently deliver on shared goals
The ideal candidate will have experience in AI/HPC product development and operations, demonstrated experience in the Network communications stack for AI solutions, fundamental knowledge of the hardware components , proven track record of communication and leadership and program management