Data Center Capacity & Network Manager

Meta; Los Lunas (NM); On-site; USD 162,000 - 227,000; Full time

Job summary

Meta is hiring a Data Center Capacity and Support Manager to lead hyperscale data center deployments. This role guides a team of network engineers, coordinating with partners, vendors, and MSPs to deliver projects on time and with high quality.

You will contribute hands-on work in design, deployment, and troubleshooting, while driving efficiency, standards, and scalable solutions across regions.

Qualifications

• 8+ years in network engineering for large-scale data center deployments.
• Experience with incident management, change control, and monitoring tools.
• Collaboration with facilities, real estate, and infra teams.

Responsibilities

• Lead deployment, config, and ongoing support of large-scale network infra across data centers.
• Serve as escalation point for complex technical issues and guidance.
• Manage relationships with partners, vendors, and MSPs.
• Collaborate with engineers across regions to deploy new tech and drive innovation.
• Ensure network turn-ups meet timelines and standards; drive quality assurance.
• Allocate workload based on projections, OKRs, and KPIs.
• Promote standards, processes, and automation; own contractor relationships.
• Oversee regional budgets, forecasts, and controls for network build/ops.
• Mentor and develop team members; build cross-region cohesion.

Skills

Network engineering

Data center deployments

Team leadership

Vendor management

AI readiness

Job description

Summary:

Meta is hiring a Data Center Capacity and Support Manager to lead the deployment of hyperscale data centers. This central role leads a team of network engineers and coordinates with partners, vendors, and managed service providers to ensure that projects are completed in a timely manner. The manager will build and scale the team, focusing on ownership, speed, quality, and efficiency. Responsibilities include hands-on technical contributions, including design, deployment, and troubleshooting, demonstrating domain expertise and technical impact.

Required Skills:

Data Center Capacity & Network Manager Responsibilities:

1. Manage the deployment, configuration, and ongoing support of large-scale network infrastructure across data centers and global regions

2. Act as the escalation point for technical issues, providing hands-on support and guidance to resolve complex problems swiftly

3. Develop and maintain relationships with partner teams, vendors, and managed service providers

4. Collaborate with engineering, data center, backbone, AI, and equipment vendors to integrate new technologies and drive innovation

5. Ensure that project timelines for network turn-ups are met, and ensure that all milestones are met

6. Drive deployment quality assurance by performing field walks, managing ENS Network Readiness Checklists, running audits, and ensuring every build meets data center standards

7. Distribute the deployment workload among team members based on projections, OKRs, and KPIs across skill sets and priorities

8. Drive operational efficiency across policies, processes, and procedures with a focus on standards compliance across the network

9. Identify root causes in complex systems and implement process enhancements and automation solutions

10. Contribute to the standardization and best practices of design, testing, and implementation of scalable network solutions. Serve as the primary relationship owner for all technical contractors (TCs) and managed service providers (MSPs) in region

11. Oversee the site's financial forecasts, budgets, and controls for network build and operations

12. Lead by example and build team cohesion and collaboration across regions to ensure alignment with organizational priorities

13. Provide mentorship, coaching, and career development to team members

Minimum Qualifications:

1. 8+ years of experience in network engineering in large-scale data center network deployments, including hands-on responsibility for planning, building, or migrating production networks

2. Experience with network incident management, change control processes, and operational tooling for monitoring and alerting in enterprise environments

3. Experience collaborating with cross-functional partners including facilities, real estate, and infrastructure teams to deliver network services on time and at scale

Preferred Qualifications:

1. 5+ years of experience managing / leading network engineering teams involved with large-scale network and wireless deployment programs across multiple physical sites, including hiring, performance management, and team development

2. Experience in large-scale network platforms designed for massive scale, high-bandwidth, and ultra-low latency

3. Knowledge of various scripting languages and/or programming language principles

4. Familiar with packet-based switching, optimized for AI traffic

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

6. Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)

7. Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)

Public Compensation:

$162,000/year to $227,000/year + bonus + equity + benefits

Industry:

Internet

Equal Opportunity:

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 [e-mail].