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Executive Capacity Development Jobs (NOW HIRING)

EAB

Partner Development Executive

Partner Development Executive Partner Development Executives at EAB are responsible for ... capacity * Ability to negotiate and excellent persuasion skills * Willingness to travel ...

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Executive Capacity Development information

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$35K

$93.2K

$197.5K

How much do executive capacity development jobs pay per year?

As of Jul 15, 2026, the average yearly pay for executive capacity development in the United States is $93,160.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,000.00 and $100,000.00 per year, depending on experience, location, and employer.

What is the difference between Executive Capacity Development vs Corporate Trainer?

AspectExecutive Capacity DevelopmentCorporate Trainer
CredentialsRelevant certifications in leadership, coaching, or organizational developmentCertifications in training, instructional design, or adult education
Work EnvironmentCorporate offices, executive retreats, leadership programsTraining sessions, workshops, seminars in various industries
Employer & Industry UsageUsed by corporations to develop senior leaders and executivesEmployed across industries to improve employee skills and knowledge

Executive Capacity Development focuses on enhancing leadership skills and organizational effectiveness at the executive level, often involving strategic coaching and development programs. In contrast, a Corporate Trainer primarily delivers training sessions to employees across different levels, aiming to improve specific skills or knowledge. Both roles require strong communication skills and industry knowledge but serve different organizational needs.

What is the highest paying job in a non-profit?

In non-profit organizations, executive roles such as Chief Executive Officer (CEO) or Executive Director tend to be the highest paid positions, often earning six-figure salaries depending on the organization's size and funding. Senior management with advanced degrees, leadership experience, and skills in fundraising, strategic planning, and governance typically command the highest compensation.

What are the 6 pillars of capacity development?

The six pillars of capacity development typically include human resources, organizational structures, systems and processes, leadership and governance, partnerships and networks, and resources and funding. For roles like Executive Capacity Development, understanding these pillars helps in designing strategies to strengthen organizational effectiveness and sustainability.

What are the 7 levels of the job title hierarchy?

In executive capacity development, the job title hierarchy typically includes seven levels: entry-level, junior, mid-level, senior, manager, director, and executive. These levels reflect increasing responsibility, skill, and leadership scope within an organization. Understanding this hierarchy helps in career planning and progression in executive roles.

What jobs will no longer exist in 2030?

Executive capacity development roles are unlikely to disappear entirely by 2030, but some administrative and routine jobs may be automated or replaced by AI and advanced software tools. Positions that rely heavily on manual data entry, basic clerical tasks, or repetitive processes are at higher risk of obsolescence, emphasizing the importance of skills in strategic thinking, leadership, and technology adaptation for future job security.
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What job categories do people searching Executive Capacity Development jobs look for? The top searched job categories for Executive Capacity Development jobs are:
Executive Capacity Development jobs near you
Infographic showing various Executive Capacity Development 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 $93,160 per year, or $44.8 per hour.
Performance & Capacity Engineer - Capacity Planning Optimization (Leadership)

Performance & Capacity Engineer - Capacity Planning Optimization (Leadership)

Meta

Boston, MA

$219K/yr

Full-time

Posted 5 days ago

Meta rating

7.5

Company rating: 7.5 out of 10

Based on 44 frontline employees who took The Breakroom Quiz

135th of 209 rated software companies

Job description

Meta is seeking a leader to join the Capacity Planning Optimization Engineering team to lead our Capacity Planning process design and execution.You will build and optimize infrastructure capacity planning processes and tools covering all of Meta, in one of our largest transformations of how we plan and manage infrastructure capacity. This is a hands on leadership role, interfacing with executive leadership at the company to run our infrastructure Capacity Planning processes. Although this is not a software engineering role, you will also design and contribute to planning software systems to increase planning efficiency and quality. You will be in one of the most cross functional roles at the company, with the opportunity to work with a variety of engineering and business teams at the intersection of all Meta products and services (Facebook, Instagram, WhatsApp, etc), all physical infrastructure (Servers, Data Centers, Network), and product business goals (AI, Metaverse, etc). You will be uniquely positioned to optimize these capacity plans at the most strategic levels with company level impact, with your output used at the CxO level for the most important decisions at the company, as well as providing execution guidance for infrastructure and product teams.To do this, you will partner across technical and business orgs to design the right solutions and lead engineers to build effective technical and process solutions to transform Meta's capacity planning process to be software driven, highly flexible, agile, and ROI Driven. You will connect business strategy with software-driven modeling of detailed service, platform, and infrastructure considerations for executable plans.This position is full-time.
Performance & Capacity Engineer - Capacity Planning Optimization (Leadership) 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
  • Partner across the engineering technical landscape to optimize at the intersection of hardware, infrastructure, and software. Work closely with software service owners, Production Engineering, Server Hardware Engineering, Server Supply Chain, Network Engineering, Data Center Design, Operations, and Planning teams to find optimal ways to scale our infrastructure and place our services
  • Design and contribute to analytical models to connect business strategy with detailed technical execution including regional and temporal bin-packing, optimal service placement, traffic shifts and service migrations, efficient hardware refresh, etc
  • Effectively lead company-wide Capacity Planning business processes across technical and non technical contributors while delivering the most complex parts yourself
  • Partner with Finance and business teams to balance cost efficiency with technical and product considerations
  • Work cross-functionally to define problem statements, collect data, build software driven models and make recommendations to drive change and optimization at the company level

Minimum Qualifications:
  • Experience with planning for large-scale technical infrastructure and distributed systems
  • Demonstrated success leading large technical infrastructure planning projects and initiatives. Demonstrated success leading large technical infrastructure planning projects and initiatives, including defining goals, managing ambiguity, and leading other engineers and non-technical contributors
  • Demonstrated success working with executive level audiences and partners
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • Bachelor's degree in Computer Science, Computer Engineering, Data Science, relevant technical field, or equivalent practical experience
  • Experience programming in Python, C++, or similar languages
  • 10+ years of experience in Engineering, Data Science, or Operations Research

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
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience and interest in building "Zero to One" - building systems and process from scratch with ambiguous requirements and goals
  • Experience with mathematical optimization and solvers
  • Experience with technical infrastructure planning or capacity planning
  • 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.
$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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