**Summary:** Meta is seeking an experienced Capacity Engineer to lead strategic capacity engineering initiatives that will enable Meta's ambitious infrastructure scaling goals. You will drive discipline-wide impact across Infrastructure and company-wide initiatives, serving as the subject matter expert for data center capacity engineering. You will be responsible for developing and executing strategies that maximize optionality while minimizing costs, working upstream to understand evolving business requirements, and creating solution sets that enable Meta's leadership in AI and core product infrastructure.This role is critical to executing Meta's data center strategy and requires deep technical expertise in Capacity as well as the ability to strategically influence partners. **Required Skills:** Capacity Planning Director Responsibilities: 1. Lead development and execution of data center supply strategies supporting Meta's growth trajectory through 2030 2. Work upstream with Product, AI Research, and Infrastructure teams to understand evolving capacity requirements for GenAI, core products, and emerging technologies 3. Drive implementation of key strategies across the broader infrastructure orgs 4. Partner with Site Development, Energy, and Construction teams to establish strategic pipeline of data center sites with sustainable power solutions over the long term 5. Lead the Data Center Meta Capacity Planning (MCP) processes, providing strategic input to quarterly reviews with company leadership 6. Lead efficiency programs focused on improving utilization, reducing waste, and maximizing return on infrastructure investments 7. Establish and maintain cross-functional partnerships with key stakeholders including Network Engineering, Hardware Engineering, Finance, and Product teams 8. Drive requirement gathering processes that translate business needs into concrete capacity and infrastructure roadmaps 9. Lead strategic initiatives to improve demand forecasting accuracy and capacity modeling capabilities 10. Design and implement strategies that maximize optionality while minimizing financial risk across Meta's global data center portfolio 11. Create scenario planning models and decision frameworks for capacity investments under uncertainty 12. Serve as technical authority on data center capacity planning methodologies, tools, and best practices across the Infrastructure organization 13. Drive development and continuous improvement of next-generation capacity management software tools and automation systems to support hyperscale operations **Minimum Qualifications:** Minimum Qualifications: 14. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 15. 10+ years of experience in infrastructure capacity engineering, production engineering, data center operations, or related technical domains 16. Advanced degree in Engineering, Computer Science, or equivalent technical field 17. Proven expertise in large-scale infrastructure planning with demonstrated impact on multi-billion dollar infrastructure portfolios 18. Deep understanding of data center technologies including power systems, cooling, networking, and server hardware 19. Experience with capacity modeling, demand forecasting, and resource optimization at hyperscale 20. Proficiency in data analysis tools including SQL, Python, R, or similar programming languages 21. Track record of driving discipline-wide initiatives with measurable business impact 22. Demonstrated ability to operate independently in ambiguous, high-impact areas and create solutions from nothing 23. Experience leading cross-functional teams and influencing without direct authority across multiple organizations 24. Exceptional communication skills with ability to engage effectively with senior leadership, technical teams, and external partners 25. Proven track record of building trusted relationships across organizations and externally with senior-level peers and leaders 26. Experience mentoring and developing other engineers within and outside the immediate organization **Preferred Qualifications:** Preferred Qualifications: 27. Experience with AI/ML infrastructure planning and large-scale GPU cluster deployments 28. Background in hyperscale data center operations 29. Knowledge of infrastructure automation 30. Understanding of network architecture and distributed systems at hyperscale **Public Compensation:** $342,000/year to $403,000/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@fb.com.