Jobs
Benefits & Perks
•Equity
•Bonus
•Equity
Required Skills
Network engineering
Data center networking
Network switching
Network routing
People management
Project management
Technical troubleshooting
Communication
Stakeholder management
Meta is hiring a Data Center Network Deployment & 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 timely project completion. 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.
Manager, Data Center Network Deployment & Support Responsibilities:
- Manage the deployment, configuration, and ongoing support of large-scale network infrastructure across data centers and global regions
- Act as the escalation point for technical issues, providing hands-on support and guidance to resolve complex problems swiftly
- Develop and maintain relationships with partner teams, vendors, and managed service providers
- Collaborate with engineering, data center, backbone, AI, and equipment vendors to integrate new technologies and drive innovation
- Ensure project timelines for network turn-ups and ensure that milestones are met
- Distribute the deployment workload among team members based on projections, OKRs, and metrics across skill sets and priorities
- Ensure that standard operating procedures (MOPs, runbooks) are consistently followed
- Contribute to the standardization and best practices of design, testing, and implementation of scalable network solutions
- Lead by example and build team chemistry across regions to ensure alignment with organizational priorities
- Provide mentorship, coaching, and career development to team members
Minimum Qualifications:
- 8+ years of experience in network engineering in large-scale data center network deployment, including hands-on responsibility for planning, building, or migrating production networks
- 3+ years of direct people management experience leading network engineers responsible for Data Center network deployment and operations
- Hands-on experience with Data Center switching, routing, and dedicated network topologies ("AI Zones") for backend GPU communication
- Proven experience leading and executing network deployment and migration projects
- A proven track record in partnering with cross-functional teams and directly managing large-scale projects
- Technical expertise in data center, enterprise, or service provider network infrastructure
- Communication, stakeholder management, and problem-solving skills
- Knowledge of data center design and operational best practices
- Experience with process improvement and systems development, leveraging automation to streamline repetitive workflows
Preferred Qualifications:
- 7+ years of direct people management experience
- Experience in large-scale network platforms designed for massive scale, high bandwidth, and ultra-low latency
- Familiar with Packet-based switching, optimized for AI traffic
- Knowledge of various scripting languages and/or programming languages principals
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 Whats App 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.
$162,000/year to $227,000/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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About Meta

Meta
PublicA social technology company that enables people to connect, find communities, and grow businesses.
10,001+
Employees
Menlo Park
Headquarters
$800B
Valuation
Reviews
3.4
26 reviews
Work Life Balance
2.3
Compensation
4.2
Culture
2.8
Career
3.1
Management
2.1
45%
Recommend to a Friend
Pros
Excellent compensation and benefits
Smart and talented colleagues
Fast-paced and challenging work environment
Cons
Frequent layoffs and job insecurity
Poor leadership and management accountability
High stress and competitive work environment
Salary Ranges
40,175 data points
Mid/L4
Mid/L4 · Technical Program Manager
915 reports
$326,766
total / year
Base
$188,428
Stock
$105,343
Bonus
$32,995
$220,456
$506,368
Interview Experience
6 interviews
Difficulty
4.2
/ 5
Duration
21-35 weeks
Offer Rate
17%
Experience
Positive 17%
Neutral 17%
Negative 66%
Interview Process
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Coding Interviews
6
System Design Interview
7
Behavioral Interview
8
Final Loop/Hiring Manager Round
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Live Coding
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