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Capacity Planning Jobs (NOW HIRING)

TensorWave Inc.

Head of Capacity Planning

Las Vegas, NV · On-site

The Head of Capacity Planning owns that picture. This person elevates our existing capacity planning processes, drives capacity planning end to end, and maintains a single, authoritative view of the ...

TensorWave Inc.

The Head of Capacity Planning owns that picture. This person elevates our existing capacity planning processes, drives capacity planning end to end, and maintains a single, authoritative view of the ...

Danaher

Staff Analyst, Capacity Planning

Chaska, MN

$120K - $140K/yr

The Capacity Planning, Staff Analyst, will be responsible for modeling, analyzing, and optimizing capacity risk across our global portfolio of manufacturing processes and production lines. In ...

Danaher

Staff Analyst, Capacity Planning

Chaska, MN · On-site

$120K - $140K/yr

The Capacity Planning, Staff Analyst, will be responsible for modeling, analyzing, and optimizing capacity risk across our global portfolio of manufacturing processes and production lines. In ...

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How much do capacity planning jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for capacity planning in the United States is $39.75, according to ZipRecruiter salary data. Most workers in this role earn between $32.69 and $43.75 per hour, depending on experience, location, and employer.

What is capacity planning?

A Capacity Planning job involves analyzing, forecasting, and optimizing an organization's resource requirements to meet current and future demands efficiently. Professionals in this role assess workload patterns, infrastructure needs, and operational constraints to ensure the right balance between supply and demand. They work closely with teams in operations, IT, and finance to develop strategies that prevent resource shortages or over-provisioning. Effective capacity planning enhances performance, minimizes costs, and supports business growth.

What are the key skills and qualifications needed to thrive in capacity planning?

To thrive in Capacity Planning, you need strong analytical skills, a solid understanding of supply chain or operations management, and typically a degree in business, engineering, or a related field. Experience with statistical analysis tools, enterprise resource planning (ERP) systems, and forecasting software is often required, and certifications like APICS CPIM can be advantageous. Attention to detail, effective communication, and problem-solving abilities are key soft skills that help professionals excel in this area. These skills ensure accurate forecasting, efficient resource utilization, and successful collaboration across departments, which are critical for maintaining optimal business performance.

What are some typical challenges faced in capacity planning and how can they be addressed?

Professionals in Capacity Planning often encounter challenges such as fluctuating demand, unexpected supply chain disruptions, and aligning resources with evolving business needs. Addressing these issues requires proactive data analysis, scenario planning, and close collaboration with multiple departments like operations, sales, and procurement. It's important to continuously refine forecasting models and maintain flexibility in resource allocation to adapt to changing circumstances. By working cross-functionally and leveraging technology, Capacity Planners can help minimize bottlenecks and support smooth business operations.

What does a Capacity Planning do?

A Capacity Planning professional analyzes an organization's production or service capacity to ensure resources meet current and future demands. They use data, forecasting, and tools like spreadsheets or specialized software to optimize resource allocation, improve efficiency, and prevent over- or under-utilization of assets. This role often requires strong analytical skills and understanding of operational processes.

What is an example of capacity planning?

In capacity planning, an example is forecasting future production needs and adjusting resources accordingly to meet demand without over- or under-utilizing assets. This involves analyzing current capacity, predicting growth, and scheduling equipment, staff, or infrastructure to ensure optimal performance and efficiency.

Who needs to be involved in capacity planning?

Capacity planning involves collaboration among operations managers, IT teams, finance departments, and senior leadership to assess current resources, forecast future needs, and ensure efficient resource allocation. Effective communication and data analysis skills are essential for successful planning, often supported by tools like spreadsheets or specialized software.
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Capacity Planning jobs near you
Infographic showing various Capacity Planning job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 85% Full Time, 11% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $82,684 per year, or $39.8 per hour.

Performance & Capacity Engineering - Capacity Planning Optimization

Boston, MA • On-site

Meta
Internet and IT • 10K+ employees
Learn more about Metaexternal

$184K/yr

Full-time

Re-posted 7 days ago

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

Job description

Meta is seeking a Performance & Capacity Engineer to join the Capacity Planning and Optimization Engineering (CPOE) team to focus on site-wide performance and capacity optimization at the intersection of all Meta products and services, and all physical infrastructure (Servers, Data Centers, Network). This role will focus on creating and optimizing capacity plans at various altitudes to balance capacity, power, and cost, in an environment of continual product introduction, directly managing billions of investment annually. We do this primarily by building software and mathematical optimization models, not manual planning. This role will be uniquely positioned to optimize these capacity plans and scalably manage exceptions at the most strategic levels with company level impact. 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. This role will help to ensure optimal operation of our infrastructure from both a cost and technology perspective, with millions of servers, Gigawatts of data center capacity, and cutting edge technology including AI, Metaverse, etc. Help build one of the largest fleets, powering one of the largest internet services in the world!
Performance & Capacity Engineering - Capacity Planning Optimization Responsibilities:
  • Own infrastructure capacity planning for Meta: including Servers, Data Centers, Network
  • Design, implement and launch software systems to improve capacity planning efficiency and quality, partnering with software engineers
  • Contribute to end to end capacity planning processes, methodologies, and data to deliver executable and optimized plans
  • Manage and resolve critical escalations and exceptions in all areas of the capacity planning
  • Build linear programming models to perform simulation and optimization studies of demand and supply projections, scenario planning, and feasibility analysis while balancing various constraints
  • Work cross-functionally to define problem statements, collect data, build analytical models and make recommendations to drive change and optimization at the most strategic levels
  • Partner across Infra: such as platform teams, operations, networking planning, data center planning as well as Product and Finance teams to find the most optimal ways to scale our Infrastructure
  • Effectively navigate complex tradeoffs and relationships to balance solving for team, cross-functional partner / stakeholders, and Meta company priorities. Balance the need to “keep things running” with longer-term, high-impact projects

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • 8+ years of experience in performance or software engineering and/or optimization pertinent data science or equivalent practical experience
  • 8+ years of experience in designing and implementing models and optimization algorithms
  • 4+ years of experience in coding/scripting languages such as Python, R, Java, C, C++, PHP
  • 4+ years of experience with LP solvers such as Xpress or Gurobi
  • Experience working with distributed systems at scale
  • Experience in infrastructure operations and technical infrastructure knowledge
  • Experience working with cross-functional teams
  • Experience optimizing complex systems, working with large datasets, and driving business impact

Preferred Qualifications:
  • 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)
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

About Meta:
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.
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.
$184,000/year to $257,000/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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