Capacity Planning Optimization Lead - Fleet Economy and Planning
- Location
- Menlo Park, CA
- Job type
- Full-time
- Level
- Lead / Staff
- Experience
- 16+ years
- Education
- Bachelor's degree
- Listed
- 29 days ago
Skills & highlights for this role
- capacity planning
- infrastructure cost modeling
- hyperscale cloud infrastructure
- financial analysis
Also useful
- AI tooling
- workflow automation
About the role
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- Capacity Planning Optimization Lead - Fleet Economy and Planning
- Menlo Park, CA +3 locations
- Data Engineering
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Meta is seeking a Performance and Capacity Engineer to drive infrastructure efficiency and reliability across Meta's global fleet of servers, data centers, and network resources. In this role, you will lead the development of processes and frameworks for pricing all virtual and physical resources at Meta, and overall Capacity Planning processes.
You will operate at the intersection of software performance analysis, hardware utilization, and long-range capacity planning, ensuring Meta's products (including Facebook, Instagram, WhatsApp, and AI workloads) are supported by infrastructure that scales efficiently and reliably.
Capacity Planning Optimization Lead - Fleet Economy and Planning Responsibilities
- Own infrastructure capacity planning for all of Meta: all software products/services and plans for how to scale server and data center resources most efficiently
- Build, own, and execute cohesive policies, processes for cohesive end-to-end pricing of all Meta virtual and physical resources to incentivize fleet efficiency, enhance developer productivity, and enable financial management
- Design and operate Integrated Planning processes and methodologies across Strategic, Tactical/Operations, and Execution horizons and granularities
- Leverage technical experience and expertise, to design and build company-wide transformational Planning programs, strategies, and methodologies across Infrastructure to scale Meta’s infrastructure efficiently
- Partner with Finance and business teams to balance cost efficiency with technical and product considerations
- Develop decision scenarios and trade-offs to drive multi-billion dollar infrastructure decisions at the highest levels of the organization
- Own the communications strategy for Pricing and Planning processes and decisions, including executive-level communications and status updates
- Use technical judgment and experience to contribute to tools and technology strategy for Pricing and Planning
- Work cross-functionally to define problem statements, collect data, and make recommendations to drive change and optimization at the company level
Minimum Qualifications
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- Bachelor's degree in a directly related field, or equivalent practical experience
- 16+ years of experience working in Infrastructure/Cloud/Hardware with a background in Strategy, Capacity Planning, or technology strategy consulting
- Experience leading enterprise-level Planning processes with frequent executive interaction
- Experience distilling complex data and high ambiguity into actionable insights and recommendations, to quickly separate signal from noise for executive communication and decision-making
- Experience applying business and financial analysis to form and refine hypotheses into actionable recommendations
- Experience identifying and framing complex or ambiguous infrastructure problems, defining opportunity spaces, and developing actionable strategies
- Experience in completing multiple cloud, infrastructure, or hardware optimization projects
Preferred Qualifications
- Direct experience designing and establishing new infrastructure planning processes from the ground up at a hyperscale cloud or infrastructure provider
- Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
- Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
- Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
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Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.
People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
For those who live in or expect to work from California if hired for this position, please click here for additional information.
United States of America: $219,000/year to $301,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
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Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.
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From Meta's careers page, first listed on Rolev.ai on October 12, 2026. Rolev.ai is not the employer.
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Common questions
Where is the Capacity Planning Optimization Lead - Fleet Economy and Planning job at Meta located?
This Capacity Planning Optimization Lead - Fleet Economy and Planning position at Meta is located in Menlo Park, CA. Always check Meta's application page for specific state eligibility or relocation policies.
What qualifications are required for Capacity Planning Optimization Lead - Fleet Economy and Planning at Meta?
For the Capacity Planning Optimization Lead - Fleet Economy and Planning role, Meta highlights 16+ years of relevant experience; a bachelor's degree; experience with capacity planning, infrastructure cost modeling, hyperscale cloud infrastructure, financial analysis. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.
How do I apply for the Capacity Planning Optimization Lead - Fleet Economy and Planning position at Meta?
This listing links directly to Meta's application page. You can apply directly on Meta's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.