Description

Meta is seeking an experienced Estimating Manager specializing in Mechanical, Electrical, and Plumbing systems to join our Data Center Design and Construction team. Our data centers form the backbone of Meta's global infrastructure, and accurate, rigorous cost estimating is critical to delivering these large-scale, mission-critical facilities on budget and on schedule. In this role, you will lead MEP cost estimating efforts across the full project lifecycle, from early concept through construction completion, ensuring capital efficiency and informed decision-making for some of the most technically complex building programs in the industry. In this role, you will develop and manage complex program, project, and system-level budgets using historical cost metrics, industry benchmarks, market analytics, and hands-on MEP cost estimating expertise.

Estimating Manager, MEP - Data Center Responsibilities:

• Lead the development of detailed MEP cost estimates for data center projects at all phases, including conceptual, schematic, design development, and construction document stages
• Establish and maintain MEP estimating standards, benchmarks, and unit cost databases specific to mission-critical and data center facility types
• Evaluate mechanical systems including CRAC/CRAH units, cooling towers, chilled water plants, and air handling systems for accurate quantity takeoff and pricing
• Evaluate electrical systems including medium-voltage switchgear, UPS systems, generators, PDUs, and low-voltage distribution for accurate quantity takeoff and pricing
• Collaborate with design engineers, construction managers, and procurement teams to validate scope assumptions and identify cost risk areas during pre-construction
• Develop and maintain cost models that support value engineering, design alternatives analysis, and lifecycle cost comparisons for MEP systems
• Provide independent cost validation and reconciliation against general contractor and subcontractor bids for MEP scopes, including supporting pre-construction teams in negotiations with general contractors for projects that range from $10 million to $10+ billion dollars
• Support the development of capital project budgets and rough-order-of-magnitude estimates for portfolio planning and investment decisions
• Track and analyze MEP cost trends across the data center portfolio to improve estimate accuracy and inform future project benchmarks
• Leverage third party tools and cost consultants to prepare estimates through multiple stages of project development in a fast-paced environment
• Develop internal processes and initiatives around cost estimation that leverage internal cost data, resources and current market information from external vendors
• Lead cost reviews with Pre-Construction and Project Managers that include 5-10 large complex project designs per year and multiple change orders on a weekly basis

Minimum Qualifications:

• 10+ years of experience in MEP cost estimating for large-scale commercial, industrial, or mission-critical construction projects
• Experience developing detailed quantity takeoffs and cost estimates for mechanical and electrical systems in data center or similar critical facility environments
• Experience with estimating software platforms such as Timberline/Sage Estimating, WinEst, or equivalent MEP-focused cost tools
• Experience in managing and reconciling estimates across multiple concurrent projects and project phases
• Experience collaborating with engineering design teams to interpret MEP drawings, specifications, and equipment schedules for cost development
• Experience in managing vendor relationships and working with stakeholders, both internal and external, to gather technical project requirements to inform costs

Preferred Qualifications:

• Experience with AI network fiber systems
• 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)
• Demonstrated ability to integrate AI tools to optimize estimating workflows and drive measurable improvements in estimate accuracy and cycle time
• Familiarity with LEAN construction principles and their application to MEP prefabrication and modular delivery strategies
• Experience with hyperscale or colocation data center MEP systems, including chilled water, direct evaporative cooling, medium-voltage electrical distribution, and backup power infrastructure
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)

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 [email protected].

$150,000/year to $209,000/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.