Meta
Network Fiber Delivery Manager [Americas]
$193K–$271K
Menlo Park, CA · Manager · Full-time · Posted Oct 27, 2026
- Experience
- 7+ years in specified operations, project management, infrastructure program/project management, and outside plant fiber construction; 3+ years of formal people-management experience.
- Education
- Advanced degree (e.g., MBA, Masters Degree in Telecommunications or Engineering); no equivalent-experience alternative stated.
About the job
Leads Meta’s Americas terrestrial fiber infrastructure portfolio, from investment planning through construction, acceptance, and operational handover, while building delivery capability and improving execution with data, automation, and AI.
What you'll do
- Set portfolio strategy, governance, delivery standards, and recovery plans for fiber infrastructure investments.
- Lead internal teams and external partners; coordinate cross-functional stakeholders and supplier and contracting strategy.
- Sponsor systems, data, automation, and AI transformation to improve delivery speed, quality, forecasting, and organizational leverage.
What they ask for
- 7+ years of experience in operations, project management, technical project management, data center or network infrastructure program/project management, and outside plant fiber construction.
- 3+ years of formal people-management experience leading technical delivery teams.
- Experience with fiber optic infrastructure design, construction, and delivery processes.
- Demonstrated AI fluency, including redesigning operational workflows with AI, validating outputs, measuring gains, and responsible use.
Nice to have
- Advanced degree (e.g., MBA, Masters Degree in Telecommunications or Engineering).
- Familiarity with North America's fiber markets, connectivity business models, and infrastructure lifecycle management.
Pay
$193,000/year to $271,000/year USD base salary; bonus and equity amounts not stated
Tools
Tableau, GIS/mapping, SQL, Python
AI focus
Redesign operational workflows with AI, validate outputs, measure quality and efficiency gains, develop AI-enabled workflows, and apply responsible AI practices.
Model-written summary · the original posting is authoritative