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Capacity Jobs (NOW HIRING)

blueStone

Sr. Capacity Manager

Jacksonville, FL

Seeking an Enterprise Capacity Management Sr. Manager with experience running a Capacity Management Program within a large Enterprise IT environment. Identify, capture, and report on the hardware and ...

Leggett & Platt

Global Capacity Planner

Detroit, MI · On-site

The Global Capacity Planner is an external facing role and will collaborate with Sales to understand customer demand signals and verify adequate component part capacity is in place for multi-branch ...

FAIRCHILD FREIGHT LLC

CAPACITY MANAGER

Richland, WA · On-site

$28 - $34/hr

Preferred 2+ years of transportation experience working in an operations or sales capacity, 3PL, brokerage provider or carrier for hire * Strong analytical thinking skills This is a full-time, exempt ...

Hub Group

Dedicated Capacity Planner

Oak Brook, IL · On-site

$45K - $55K/yr

Analyze and manage costs associated with capacity planning, including rail costs, equipment, and truck plans to maximize margins. Seek opportunities to reduce costs while achieving service and ...

Blacksmith Software Inc

Head of Capacity

New York, NY · On-site

Own capacity planning across compute, storage, networking, and datacenter infrastructure. * Build forecasting models for infrastructure demand and growth. * Partner with engineering to understand ...

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$40K

$68.7K

$131K

How much do capacity jobs pay per year?

As of Jul 7, 2026, the average yearly pay for capacity in the United States is $68,718.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,500.00 and $87,000.00 per year, depending on experience, location, and employer.

What are some of the main challenges faced by professionals in capacity planning roles, and how can they be addressed?

Professionals in capacity planning often face challenges such as rapidly changing demand forecasts, aligning resources with fluctuating workloads, and ensuring optimal utilization without overextending the team or incurring unnecessary costs. These challenges can be addressed by leveraging data analytics tools to improve forecasting accuracy, maintaining open communication with cross-functional teams to anticipate needs, and developing flexible strategies that allow for quick adjustments. Successful capacity planners also regularly review and update processes to stay agile in the face of market or organizational changes.

What is the difference between Capacity vs Data Analyst?

AspectCapacityData Analyst
Required CredentialsVaries; often includes business or industry-specific certificationsBachelor's degree in data science, statistics, or related field
Work EnvironmentBusiness operations, project management, or client-facing rolesData analysis, reporting, and visualization in office or remote settings
Industry UsageUsed across various industries for resource planning and managementPrimarily in tech, finance, marketing, and healthcare sectors
Search & Comparison IntentUnderstanding role scope and responsibilitiesComparing data analysis skills and job functions

Capacity roles focus on resource management and operational support, while Data Analysts specialize in interpreting data to inform business decisions. Both roles are essential in their respective areas, but they differ in skills, credentials, and daily tasks.

What are the key skills and qualifications needed to thrive as a Capacity Planner, and why are they important?

To thrive as a Capacity Planner, you need strong analytical skills, attention to detail, and a background in operations, logistics, or supply chain management, often supported by a relevant degree. Familiarity with forecasting tools, spreadsheet software like Excel, and enterprise resource planning (ERP) systems is typically required. Excellent communication, problem-solving abilities, and adaptability help you collaborate effectively and respond to shifting business needs. These skills enable accurate resource allocation, cost efficiency, and the ability to anticipate and mitigate operational bottlenecks.

What are capacity planners?

Capacity planners are professionals responsible for ensuring that an organization has the necessary resources—such as staff, equipment, and infrastructure—to meet current and future demands. They use data analysis and forecasting techniques to predict resource needs and plan for optimal utilization. Capacity planners play a crucial role in industries like manufacturing, IT, and logistics, helping organizations avoid under- or over-utilization of resources and maintain efficient operations.
More about Capacity jobs
What cities are hiring for Capacity jobs? Cities with the most Capacity job openings:
What are the most commonly searched types of Capacity jobs? The most popular types of Capacity jobs are:
What states have the most Capacity jobs? States with the most job openings for Capacity jobs include:
Capacity jobs near you
Infographic showing various Capacity job openings in the United States as of July 2026, with employment types broken down into 84% Full Time, 12% Part Time, and 4% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $68,718 per year, or $33 per hour.
Performance & Capacity Engineering - Capacity Planning Optimization

Performance & Capacity Engineering - Capacity Planning Optimization

Meta

Boston, MA

$184K/yr

Full-time

Posted 27 days ago

Meta rating

7.5

Company rating: 7.5 out of 10

Based on 44 frontline employees who took The Breakroom Quiz

130th of 202 rated software companies

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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