Network Implementation Engineer

The Meta Game, Inc.
Austin, TX, United States
1 day ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
2 years minimum
Compensation
$106,995.0 - $159,000.0
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Spreadsheets Computer Engineering Project Management Software Microsoft Office Network Installation Services Information Technology

Job description

The Network Implementation Engineer - Project Manager is responsible for the overall implementation, deployment, and technical delivery of Greenfield & Brownfield fiber and ILA deployments into the Meta production environment. Activities will include project managing the day-to-day activity of network development projects in North America, managing partners/contractors against deliverables, identifying and mitigating project risks and developing and managing project budgets to ensure on-time delivery of the network to the business. In this role, you will collaborate with Network Development, Network Planning, Edge Network Deployment, Legal, Finance, and other internal stakeholders., 1. Project management of fiber construction and ILA projects across North America via direct and indirect management of partner vendors

  1. 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
  2. Coordinate and manage ILA production and deployments across North America
  3. Collaborate with internal teams to implement long-term infrastructure build plans, considering construction timelines, ROW feasibility, and budget needs
  4. Support tracking and management of ROW and permit acquisition process in conjunction with an accelerated deployment schedule of design and construction
  5. Collaborate with Sourcing and Net/Dev on new project opportunities, potential partner or vendor identification, buildability and high-level project budget
  6. Receive new projects at the implementation stage via project kickoff document, including full end-to-end requirements in support of the milestone project review
  7. Drive quality assurance and quality control of project management system updates and reporting
  8. Service delivery of Project deliverables to Meta cross-functional teams, including all end-to-end elements in support of MPRs as applicable
  9. Development of fiber acceptance and project closeout packages in accordance with Meta standards
  10. Technical delivery and acceptance from vendors of fiber specs, interpretation of OTDR traces, and project closeout packages
  11. Work closely with finance to develop business plans, budgets, and forecasts

Requirements

  1. 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. 2+ years of project management experience with a focus on telecom and/or utility construction
  3. Bachelor’s degree in Project Management, Business, or equivalent practical experience
  4. Project management expertise across large-scale projects
  5. Experiencing negotiating with vendors, partners, or contractors to resolve project issues and reach agreements
  6. Experience managing multiple cross-functional tasks and projects with accurate tracking and documentation
  7. Understanding of key project milestones for the I.L.A. and/or fiber construction projects
  8. Microsoft Office Suite proficiency, with experience using spreadsheet tools and/or programs

Preferred Qualifications:

Preferred Qualifications:

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

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