Meta
Network Development Manager
$162K–$227K
Menlo Park, CA · Manager · Full-time · Posted Oct 27, 2026
- Experience
- 8+ years in network development, telecommunications, fiber optic infrastructure, or a related field (commercial, technical, or project management roles).
- Education
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
About the job
Develops North American terrestrial fiber investment strategies and manages provider relationships, contracts, and delivery of network capacity projects.
What you'll do
- Manage telecommunications provider relationships, delivery schedules, issues, and performance against contractual milestones and SLAs.
- Evaluate fiber routes and capacity solutions; support contract negotiations and investment recommendations with financial analyses and business cases.
- Coordinate cross-functional project delivery, maintain accurate network data and reporting, and identify delivery risks and workflow improvements.
What they ask for
- Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience.
- 8+ years of experience in network development, telecommunications, fiber optic infrastructure, or a related field.
- Experience managing telecommunications or infrastructure vendors/providers and knowledge of fiber concepts, including route design, IRU/lease structures, and delivery lifecycle.
- Strong financial modeling, ROI analysis, investment assessment, and analytical skills.
Nice to have
- Experience delivering hyperscale or carrier-grade long-haul and metro fiber projects, or developing OSP standards, vendor qualification frameworks, or procurement strategies.
- Experience applying responsible AI practices and integrating AI tools into workflows; data analytics or scripting experience such as SQL or Python.
Pay
$162,000/year to $227,000/year USD base salary
Tools
SQL, Python, AI agents
AI focus
Use AI agents and automation to streamline workflows; apply responsible, ethical AI practices and integrate AI tools to improve efficiency and quality.
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