Meta is seeking a Technical Program Manager (TPM) with experience in server and rack systems design, development, and deployment at scale. This position will work with cross-functional teams in Meta’s Infrastructure organization to drive product definition, proof of concept generation, design, component selection, integration, development, validation, and end-to-end adoption of new hardware products. This position would focus on hardware system end-to-end development needed to support emerging high-powered AI/ML servers, and would require engagement with external vendors as well as a range of internal engineering and specialized teams. You would focus on creating strategies and executing plans to support the development and deployment of current and new hardware platforms. These platforms are the foundation of our AI Training and Inference systems, and are a key enabler to supporting the company’s push into AI. This role would work with external and internal partners to influence and define roadmaps based on technical and business considerations, influence adoption strategies including internal customer and stakeholder alignment, and drive integration with Meta’s capacity planning tools and systems across the program space. This role would work with Infrastructure Hardware development, Infrastructure software, Capacity Planning, Data Center, Network Infrastructure and infrastructure sourcing teams. Meta’s Infrastructure Engineering organization is responsible for the growth, management and 24x7 upkeep of all Meta’s products and services.
Responsibilities
Lead technical program management of next-generation hardware platform(s) for Meta 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 Own overall program success, spanning the end-to-end development of the hardware product. spanning internal and external development work through successful ingestion into Meta’s infrastructure and support of production workloads at scale Develop and manage programs, including defining scope, requirements, development model, schedules, and deliverables with engineering teams, partners, and stakeholders Scale AI best practices (including responsible AI use), workflows, and artifacts across teams so that the org's capability compounds over time Support the growth of other TPMs and cross-functional team members by providing mentorship and coaching on AI-native practices Use AI-enabled tools to build programs and to prototype, validate, and ship tangible artifacts Influencing broader roadmaps through product interceptions and market fit, competitive analysis, and feasibility studies Provide hands-on program management during analysis, design, development, testing, implementation, and post-implementation phases Partner with engineering counterparts across a range of specialties as well as other teams to define product roadmaps Drive overall communication to leadership, stakeholders, and core working teams in regular cadence Drive internal process improvements across multiple teams and functions Analyze infrastructure needs and produce hardware designs and prototypes to meet those needs Manage and drive strategic vendor engagement and delivery
Qualifications
B.S. in Computer Science or a related technical discipline, or equivalent experience 10+ years of experience in software engineering, systems engineering, hardware engineering, or technical product/program management experience Experience using AI tools to accelerate workflows Experience delivering tech programs or products from inception to delivery Knowledge of user needs, gathering requirements, and defining the scope Experience operating independently across multiple teams, demonstrating critical thinking and thought leadership Communication experience and experience working with technical management teams to develop systems, solutions, and products Organizational, coordination, and multi-tasking experience Analytical and problem-solving experience with large-scale systems Experience in establishing work relationships across multidisciplinary teams and multiple partners in different time zones Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) Hardware systems design experience and new product introduction lifecycle management Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements). Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy review) Understanding of hardware system architecture and related technologies Experience in large-scale AI cluster buildout Experience with data center deployment is a plus Knowledge of compute, storage and/or AI/ML server development Web or internet start-up environment and technical infrastructure management experience Demonstrated ability to develop AI-native strategies, including evaluation and data strategies Experience working with Original Design Manufacturers (ODM)’s and other vendors