Software Engineer (Technical Leadership)

We are the teams who create all of Facebook’s product used by more than 1.5 billion people around the world. Want to build new features and improve existing products like Commerce, Ads, Video, Groups, News Feed, Search, and more? Want to solve unique, large scale, highly complex technical problems? Facebook is seeking experienced full-stack software engineers to join our product teams. You can help build products that help us connect the next billion people, create new features that have billions of interactions per day, and be a part of a team that’s working to help people connect around the globe. Join us!

Drive the team's goals and technical direction to pursue opportunities that make your larger organization more efficient Effectively communicate complex features and systems in detail Understand industry & company-wide trends to help assess & develop new technologies Partner & collaborate with organization leaders to help improve the level of performance of the team & organization Identify new opportunities for the larger organization & influence the appropriate people for staffing/prioritizing these new ideas Create consumer products and features on a large scale Lead long term technical vision and roadmap for large cross-company efforts Partner closely with infrastructure and operations teams to build and scale back-end services

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience Experience communicating and working across functions to drive solutions Experience in mentoring/influencing engineers across organizations 12+ years of experience with building large-scale applications, or similar experience Proven track record of planning multi-year roadmap in which shorter-term projects ladder to the long-term vision 8+ years of experience with web or mobile technologies Experience leading projects with industry-wide impact 12+ years of programming experience Experience in driving large cross-functional/industry-wide engineering efforts Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies