Production Network Manager, Backbone Engineering

Meta's global network, comprised of cutting-edge platforms, is looking for a Network Engineering Manager to join the Backbone and Edge Engineering team focused on our Software Defined Express Backbone Network. This team is responsible for designing, implementing and supporting one of the world’s largest and most cutting edge networks. In this role, you will work closely with other engineers with a wide variety of deep technical expertise in software, systems, IP, and Optical networking to drive forward innovation and expansion of our network.Responsibilities

Be a highly technical manager

Hold your own in technical discussions, be a subject matter expert, and have strategic influence

Help define and drive regular development of the technical roadmap to meet the needs of the team, and partner teams

Operate in a rapidly evolving environment, adapting quickly to new information and re-prioritizing as needed

Manage engineers working to design, build, scale, deploy, and support networks and systems for our Express Backbone network infrastructure

Partner closely with Meta backbone, edge, data center, and hardware network engineering teams and other software infrastructure teams

Manage and develop a team of engineers

Help engineers develop their careers, assigning them to projects tailored to their skill levels, long-term skill development, and career goals

Assess employee performance frequently, address under-performance, and recognize and promote excellent performance

Work closely with dedicated recruiting staff to expand the team, including sourcing candidates, interviewing candidates, participating in conferences/events, and onboarding new employees

Communicate cross-functionally and drive engineering efforts

Minimum Qualifications

Experience managing a networking-related software engineering team

Knowledge of networking and distributed systems

Experience in network management systems for large-scale networks

BS or MS in Computer Science, Engineering, or a related technical discipline, or equivalent experience

Experience recruiting and managing technical teams, including performance management and managing engineers

Knowledge of networking fundamentals

Preferred Qualifications

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

Experience in software development and engineering for network control and management

Knowledge of network topology and capacity planning methodologies

4+ years managing MPLS and RSVP-TE based networks

6+ years experience in program management or product management

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)