We're looking for QA Engineering Leads to work on our core and business products (Instagram, Messenger, Facebook, GenAI, Growth, Engagement, Ads, Privacy) to help shape the future of what we build at Meta. You enjoy solving quality challenges on products built in cutting edge technology serving billions of people worldwide.

Qualifications:

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 7+ years of quality Engineering and/or test engineering experience Experience with QA process and methodologies Hands-on experience with planning, designing, executing tests and knowledge of performance and stress testing Experience implementing and maintaining quality test automation for both mobile and web applications Experience in coordinating testing efforts between onsite and offshore teams Experience in Python, PHP, Java, C/C++ or equivalent coding language Experience in leveraging data to improve product quality Experience communicating with technical and non-technical stakeholders across all levels of the organization Experience with ambiguity and having initiative to improve product quality coverage and effectiveness Experience in technical leadership, project management, and executive communication Experience in project management approaches, tools and phases of a project life cycle Experience working across multiple cross functional engineering teams globally Experience of industry standard test automation tools and automation frameworks Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) Experience navigating ambiguous problem spaces by defining scope, identifying priorities, and driving clarity for cross-functional partners Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)