Engineering Manager - Strategic Infrastructure Capacity Planning

Meta; Bellevue (WA); On-site; USD 180,000 - 240,000; Full time

Job summary

Meta is seeking an Engineering Manager to lead the Capacity Engineering team focused on site-wide performance and capacity optimization across all Meta products, services, and infrastructure. You will manage a multi-billion-dollar annual investment and work with executives to shape long-range capacity strategies.

You will build a high-performing team, drive strategic decisions, and collaborate with hardware, data center, network, finance, and software stakeholders to scale our infrastructure and

Qualifications

• BS degree in Computer Science, Operations Research, or related field.
• 8+ years of engineering experience including 3+ years in people management.
• Experience recruiting, developing, and leading technical teams.
• Experience with quantitative methods in infrastructure planning or capacity modeling.
• Ability to integrate AI tools to optimize workflows and drive measurable impact.
• Experience with strategic planning, budgeting, and finance.
• Ongoing AI skill development and familiarity with emerging AI technologies.
• Experience with distributed systems and large-scale infrastructure planning.

Responsibilities

• Plan capacity for all Meta products/services; analyze data and scenarios for executive decisions up to CxO level.
• Build and grow a high-performing team; hire, develop, and manage engineers.
• Assess team performance and address under-performance; promote growth.
• Clarify vision, priorities, and roadmaps; maintain strong cross-functional relationships.
• Navigate complex tradeoffs among team, partners, and Meta priorities.
• Identify capacity issues across stack and drive cross-team solutions.
• Lead technical discussions and influence design; contribute as needed as an IC.
• Foster partnerships with Production Engineering, Server Hardware, Finance, Network, and Data Center teams to scale infrastructure.

Skills

People management

Team leadership

Strategic planning

AI integration

Education

BS in CS/OR related field

Job description

About

Meta is seeking an Engineering Manager to join the Capacity Engineering team to focus on site-wide performance and capacity optimization at the most Strategic levels, at the intersection of all Meta products and services, and all physical infrastructure (Servers, Data Centers, Network). This role will focus on leading, coaching, and growing a team of engineers to create and optimize strategic infrastructure capacity plans at various altitudes to balance service, infrastructure, financial, and business constraints, directly managing $Billions of investment per year. We do this primarily by building software and mathematical optimization models, not manual planning. This role will be uniquely positioned to work with our executive team to assess Capacity scenarios for executability, tradeoffs, and impacts for building one of the largest fleets in the world. This is one of the most cross functional roles at the company, with the opportunity to work with a variety of engineering and business teams to power the rapid growth of Meta’s products. You will ensure the right long-range strategic investment decisions are made for our products and infrastructure, including the latest AI and non-AI technologies. You will work with millions of servers, Gigawatts of data center capacity. You will help build one of the largest fleets, powering one of the largest internet services in the world!

Responsibilities

• Capacity planning for all of Meta: all software products / services. Develop and analyze business and technical data and what-if scenarios to drive the highest levels of executive decision making around infrastructure / product investments and strategy, up to the CxO level
• Build and maintain high performing team: Hire and retain high-performing engineers. Own career development and health of team to ensure continued growth in capability over time
• Assess team performance on an ongoing basis: address under-performance, recognize and promote performance
• Maximize the conditions for the team's success: ensure clarity in team vision, priorities, roadmap and key business context. Develop, maintain, and if needed, fix relationships with cross functional partners across technical and business functions
• Effectively navigate complex tradeoffs and relationships to balance solving for team, cross-functional partner / stakeholders, and Meta company priorities
• Connect the dots: Identify capacity-related issues at all layers of the stack and proactively work across technical and business teams to define and implement solutions
• Drive technical discussions: influence technical design and process in partnership with team, review key team outputs. Take on some technical IC work and have strategic influence technically
• Develop and maintain effective partnerships across technical and business teams including software service owners, Production Engineering, Server Hardware Engineering, Finance, Server Supply Chain, Network Engineering, Data Center, Operations, and Planning teams to find the most optimal ways to scale our infrastructure and place our services

Minimum Qualifications

• BS degree in Computer Science, Operations Research, or other technical field, or relevant practical experience
• 8+ years of engineering work experience, including 3+ years of hands-on engineering people-management
• Demonstrated experience with recruiting, developing, and leading technical teams
• Demonstrated success in managing challenging relationships and competing priorities with executive level partners or customers Experience applying quantitative and analytical methods to infrastructure planning, capacity modeling, or similar problem domains
• 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 reviews)
• Experience with strategic planning, budgeting and finance
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
• Experience and demonstrated success with distributed systems and infrastructure planning at scale