Software Engineer, Principal

Meta is seeking a principal-level software engineer to drive technical strategy and engineering excellence across large-scale product systems. You will join XF APAC Products, an AI-first team leading commercial monetization, consumer app experimentation, and AI for Business This team is redesigning Meta's product development workflows for greater speed and efficiency. You will define architectural direction, lead multi-year technical initiatives, and set the standard for AI-native engineering practices across Meta's product portfolio.

Requirements:
12+ years of software engineering experience in large-scale product systems, including architecture design, systems reliability, and cross-organizational technical leadership Experience defining and delivering multi-year technical roadmaps that balance short-term execution with long-term architectural integrity across multiple engineering teams Experience identifying and resolving systemic technical problems that span multiple systems, including developing invariants and approaches that prevent entire categories of issues Experience influencing technical strategy and priorities across multiple engineering organizations and cross-functional partners through written proposals, design reviews, and stakeholder alignment Experience applying AI tools and workflows to accelerate engineering productivity, expand technical scope, and drive step-change improvements in system design or product outcomes Experience leading large-scale system migrations or platform renewals in complex, mature technical environments with significant cross-team dependencies Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies Track record of industry-level impact in a specific technical domain, including contributions that have influenced engineering practices beyond a single company 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) Experience establishing engineering standards, architectural patterns, or technical frameworks that have been adopted broadly across large engineering organizations Experience defining and operationalizing reliability, privacy, or security practices at the ecosystem level, including partnering with legal, policy, and compliance teams on technical solutions