Network Development Manager

Meta's Network Investments team is responsible for the strategic planning, commercial development, and delivery of one of the world's largest and fastest-growing fiber optic backbone networks. We partner with telecommunications providers and infrastructure vendors to design, source, and deploy critical network capacity that powers Meta's family of applications and AI infrastructure.

We are seeking a Network Development Manager (NDM) to support the commercial development and delivery of fiber network capacity across the North American production environment. In this role, you will manage provider engagements, coordinate fiber route development, support contract execution, and track delivery milestones — working closely with experienced NDMs and cross-functional partners to ensure Meta's network capacity keeps pace with demand growth.

Responsibilities

Manage day-to-day relationships with assigned telecommunications providers, coordinating on order submissions, delivery schedules, issue resolution, and performance tracking
Support the identification and evaluation of new fiber routes and capacity solutions, partnering with Network Planning and engineering teams to gather requirements and assess feasibility of proposed routes
Support contract negotiations and commercial processes for fiber IRU agreements, dark fiber leases, and related infrastructure contracts, preparing analyses and business cases to inform negotiation strategy
Collaborate with Network Implementation Engineering (NIE), Network Planning, Finance, Legal, Sourcing, and Data Center teams to align delivery schedules and ensure clean handoffs from development through implementation
Track provider delivery against contractual milestones and SLAs, identifying emerging risks to timeline or budget and escalating with proposed mitigation options
Maintain project tracking systems and reporting to provide visibility into delivery status and provider performance, working with internal tools to ensure accurate and complete network data
Identify opportunities to streamline workflows and improve operational efficiency, contributing to documentation of best practices and standard operating procedures

Qualifications

Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta
2+ years of experience in network development, telecommunications, fiber optic infrastructure, or a related field (commercial, technical, or project management roles)
Experience managing vendor or provider relationships in a telecommunications or infrastructure context
Experience with fiber optic network concepts including route design, IRU/lease structures, and delivery lifecycle
Experience prioritizing competing projects based on impact, deadlines, and stakeholder needs
Experience communicating project status, risks, and recommendations to technical and non-technical audiences
Experience with data analysis and working with spreadsheets
Bachelor's degree in Business, Engineering, Telecommunications, or related field (or equivalent practical experience) 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
Experience at a hyperscale technology company, major telecommunications carrier, or infrastructure provider
Experience with data analysis tools, dashboards, or automation
Experience with contract management including IRU agreements, MSAs, and SLAs
Experience with backbone/long-haul fiber networks or metro fiber infrastructure
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
Background in project management or infrastructure delivery
Knowledge of network planning or capacity forecasting fundamentals