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Summary:

Meta’s Core Infrastructure team seeks a Technical Program Manager (TPM) to lead complex, large-scale projects focused on advancing language model scaling. In this key position, you will collaborate across engineering, hardware, data center, research, and product teams to design, build, and scale foundational hardware, software systems, and tools that support Meta’s AI innovation.You will be responsible for driving the end-to-end integration of new AI hardware and core infra stack, from initial design validation of our software stack through production deployment. This includes developing and refining repeatable frameworks for efficient onboarding, ensuring robust and predictable execution, and proactively resolving technical and organizational challenges to maintain project momentum.You will use your problem-solving, technical acumen, and business insight to streamline onboarding of new AI hardware platforms into Meta’s suite of core infrastructure services. You will communicate transparently across all levels, motivate multidisciplinary teams, and champion best practices to deliver impactful outcomes that advance Meta’s infrastructure.

Required Skills:

Technical Program Manager, Core Infrastructure Responsibilities:

1. Establish and lead effective program teams to ensure alignment and achieve common objectives

2. Work closely with engineering, data center, hardware and business stakeholders to define program requirements, prioritize initiatives, and establish scope, including shaping the roadmap and long-term strategy for partner teams

3. Create and implement communication strategies to proactively share program status, challenges, and risks with stakeholders

4. Drive successful outcomes by actively managing cross-functional dependencies, mitigating risks, and adjusting scope, timeline, and resources as needed

5. Collaborate with cross-functional teams to lead the end-to-end lifecycle of programs, including technical analysis, design, development, testing, implementation, and post-launch support

6. Establish and track key metrics, quality benchmarks, and performance indicators to drive accountability and ensure effective cross-functional execution of program deliverables

7. Anticipate and evaluate complex, long-term infrastructure challenges in close partnership with engineering leaders and key stakeholders

8. Drive product strategy to support and align with key company initiatives

9. Lead process improvements across internal and external teams, streamlining workflows and reducing manual effort through automation

Minimum Qualifications:

Minimum Qualifications:

10. 12+ years of experience in software engineering, hardware engineering, systems engineering, or technical product/program management

11. Knowledge of software and hardware development for large scale hardware readiness, including end-to-end product development processes

12. Excel at clearly communicating complex technical investments in a simple and understandable manner

13. Experience delivering complex technology programs and products from inception through to successful delivery

14. Knowledge of understanding user needs, gathering requirements, and defining project scope

15. Experience working under your own initiative, across multiple teams, demonstrating critical thinking and providing thought leadership in ambiguous spaces

16. Experience defining and optimizing engineering processes at scale

17. Excel at building cross-functional relationships, thrive amid complex challenges, excel at clearly communicating complex technical investments in a simple and understandable manner

18. Experience in analytical thinking and problem-solving for large-scale systems

19. Experience building work relationships across multi-disciplinary teams and with partners in different time zones

20. Experience defining strategic direction and identifying new opportunities for impact across products, platforms, and programs

21. Experience communicating at the executive level and influencing leadership and technical management teams to drive the development of systems, solutions, and products

22. Knowledge of Large Language Model and machine learning, and scaling distributed systems

23. Demonstrated experience of identifying new opportunities for the larger organization and influencing the appropriate stakeholders

24. Proven commitment to scale infrastructure for large scale AI distributed compute systems

Preferred Qualifications:

Preferred Qualifications:

25. Knowledge of software and hardware development for large scale system readiness

26. Excel at clearly communicating complex technical investments in a simple and understandable manner

Public Compensation:

$error/year to $error/year + bonus + equity + benefits We apologize for the inconvenience, please be patient as we work to correct the issue.

**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 [email protected].