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Meta
Posted 23 days agoVerified live 2d ago

Network Implementation Engineer

Brief overview

Remote
UndergradOr in progress
2+ yrsMinimum
4,285 H-1B approvalsDept. of Labor
2,876 green cardsCertified filings
Telecom ConstructionFiber ConstructionILA DeploymentMicrosoft Office SuiteCapital Budget ManagementPrompt EngineeringAI Agent OrchestrationResponsible AI PracticesVendor NegotiationProject Management

About the company

Meta's mission is to build the future of human connection and the technology that makes it possible.

Visa sponsorship history

4 years sponsoring, last filed FY2026H-1B dependent

Data powered by U.S. Department of Labor. This does not guarantee sponsorship for this specific role.
4,285H-1B approved
97%approval rate
1,690new H-1B hires
2,876PERM certified
$212,690median wage / yr
H-1B Petition ApprovalsVisas USCIS actually granted: the strongest sign the company sponsors.
20231,521
20241,495
2025570
2026699
LCA Certified ApplicationsAn early filing step, not a visa approval: it signals intent, not confirmed sponsorship.
20231,065
20241,557
2025910
2026858
Green Card (PERM) FilingsCertified green card filings: a long-term commitment to international hires.
20231,739
2024674
2025386
202677
Top sponsored roles
Software EngineerData ScientistData EngineerResearch ScientistSoftware Engineering Manager
Sponsored employees from
IndiaChinaCanadaTaiwanMexico

Job description

Summary

Meta builds technologies that help people connect, find communities, and grow businesses. The Network Implementation Engineer - Project Manager will oversee the implementation, deployment, and technical delivery of fiber and ILA infrastructure projects into Meta's production environment. The role manages partners, contractors, project risks, budgets, permits, quality assurance, and cross-functional delivery across North America.

Responsibilities

  • Project management of fiber construction and ILA projects across North America via direct and indirect management of partner vendors
  • Coordinate and manage build partners, engineering and construction firms, and associated project budgets mitigating risk for the project through pre-planning, innovative planning, and partnership
  • Coordinate and manage ILA production and deployments across North America
  • Collaborate with internal teams to implement long-term infrastructure build plans, considering construction timelines, ROW feasibility, and budget needs
  • Support tracking and management of ROW and permit acquisition process in conjunction with an accelerated deployment schedule of design and construction
  • Collaborate with Sourcing and Net/Dev on new project opportunities, potential partner or vendor identification, buildability and high-level project budget
  • Receive new projects at the implementation stage via project kickoff document, including full end-to-end requirements in support of the milestone project review
  • Drive quality assurance and quality control of project management system updates and reporting
  • Service delivery of Project deliverables to Meta cross-functional teams, including all end-to-end elements in support of MPRs as applicable
  • Development of fiber acceptance and project closeout packages in accordance with Meta standards
  • Technical delivery and acceptance from vendors of fiber specs, interpretation of OTDR traces, and project closeout packages
  • Work closely with finance to develop business plans, budgets, and forecasts

Skills

  • 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 project management experience with a focus on telecom and/or utility construction
  • Bachelor's degree in Project Management, Business, or equivalent practical experience
  • Project management expertise across large-scale projects
  • Experiencing negotiating with vendors, partners, or contractors to resolve project issues and reach agreements
  • Experience managing multiple cross-functional tasks and projects with accurate tracking and documentation
  • Understanding of key project milestones for the I.L.A. and/or fiber construction projects
  • Microsoft Office Suite proficiency, with experience using spreadsheet tools and/or programs
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Knowledge of capital budget management. (i.e.-project forecasting, management of accruals)
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)

Qualifications

Must Haves

  • 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 project management experience with a focus on telecom and/or utility construction
  • Bachelor's degree in Project Management, Business, or equivalent practical experience
  • Project management expertise across large-scale projects
  • Experiencing negotiating with vendors, partners, or contractors to resolve project issues and reach agreements
  • Experience managing multiple cross-functional tasks and projects with accurate tracking and documentation
  • Understanding of key project milestones for the I.L.A. and/or fiber construction projects
  • Microsoft Office Suite proficiency, with experience using spreadsheet tools and/or programs

Nice to Haves

  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Knowledge of capital budget management. (i.e.-project forecasting, management of accruals)
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)

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