Technical Program Manager, AI Infrastructure

**Summary:** 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. **Required Skills:** Technical Program Manager, AI Infrastructure Responsibilities: 1. 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 2. 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 3. Develop and manage programs, including defining scope, requirements, development model, schedules, and deliverables with engineering teams, partners, and stakeholders 4. Scale AI best practices (including responsible AI use), workflows, and artifacts across teams so that the org's capability compounds over time 5. Support the growth of other TPMs and cross-functional team members by providing mentorship and coaching on AI-native practices 6. Use AI-enabled tools to build programs and to prototype, validate, and ship tangible artifacts 7. Influencing broader roadmaps through product interceptions and market fit, competitive analysis, and feasibility studies 8. Provide hands-on program management during analysis, design, development, testing, implementation, and post-implementation phases 9. Partner with engineering counterparts across a range of specialties as well as other teams to define product roadmaps 10. Drive overall communication to leadership, stakeholders, and core working teams in regular cadence 11. Drive internal process improvements across multiple teams and functions 12. Analyze infrastructure needs and produce hardware designs and prototypes to meet those needs 13. Manage and drive strategic vendor engagement and delivery **Minimum Qualifications:** Minimum Qualifications: 14. 10+ years of experience in software engineering, systems engineering, hardware engineering, or technical product/program management experience 15. Experience using AI tools to accelerate workflows 16. Experience delivering tech programs or products from inception to delivery 17. Knowledge of user needs, gathering requirements, and defining the scope 18. Experience operating independently across multiple teams, demonstrating critical thinking and thought leadership 19. Communication experience and experience working with technical management teams to develop systems, solutions, and products 20. Organizational, coordination, and multi-tasking experience 21. Analytical and problem-solving experience with large-scale systems 22. Experience in establishing work relationships across multidisciplinary teams and multiple partners in different time zones **Preferred Qualifications:** Preferred Qualifications: 23. Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) 24. Hardware systems design experience and new product introduction lifecycle management 25. Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies 26. Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) 27. 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) 28. Understanding of hardware system architecture and related technologies 29. Experience in large-scale AI cluster buildout 30. Experience with data center deployment is a plus 31. Knowledge of compute, storage and/or AI/ML server development 32. Web or internet start-up environment and technical infrastructure management experience 33. Demonstrated ability to develop AI-native strategies, including evaluation and data strategies 34. Experience working with Original Design Manufacturers (ODM)’s and other vendors **Public Compensation:** $168,000/year to $234,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.