Network Implementation Engineer

You'll have a unique opportunity to shape the development of one of the world's largest, global and most expansive fiber networks. Meta's network has grown significantly over the last 10 years and we expect to more than double the footprint in the next few to support our existing 3+ billion customers and enable new services. You will have the opportunity to work cross-functionally with our broader Network Engineering team to tackle these complex and long-term network infrastructure problems to deliver network capacity at scale.

Who we are

Network Investments mission is to scale Meta's network infrastructure to enable the evolution of social technologies. Specifically, we invest in and develop complex terrestrial networks to connect Meta's data centers (DCs), Edge Points of Presence (PoPs) and Meta Network Appliances across the globe. We source or invest in third-party infrastructure and develop Meta's own-build terrestrial fiber capacity.

The Network Implementation Engineer is responsible for overall implementation, deployment and technical delivery of Greenfield & Brownfield fiber deployments and leased IRUs 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 ensuring on-time delivery of network to the business. In this role, you will collaborate with Network Development, Network Planning, Edge Network Deployment, Legal, Finance and other internal stakeholders.

This position is full time and based in our Menlo Park office [remote possible].

Responsibilities

Project management of fiber construction projects across North America via direct and indirect management of partner vendors Lead build partners, engineering and construction firms, and associated project budgets mitigating risk for the project through pre-planning, innovative planning, and partnership Drive cross-functional initiatives to improve project visibility, forecasting accuracy, and tracking tools to ensure timely delivery 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 & Net/Dev on new project opportunities, potential partner/vendor identification, build-ability, 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 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 MPR(s) as applicable 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

Qualifications

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 8+ years of project management across large-scale projects with a focus on telecom and/or utility construction Experience negotiating with vendors, partners, or contractors to resolve project issues and reach agreements Experience prioritizing and managing cross-functional tasks and projects based on impact, deadlines, and stakeholder needs Understanding of key telco milestones for the delivery of dark fiber routes Microsoft Office Suite proficiency, with experience using spreadsheet tools and/or programs Proven track record of at-scale on-time delivery of complex outside plant projects Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies Experience with capital budget management across a portfolio of projects (e.g., project forecasting, management of accruals). (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)