QA Engineering Lead

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.

Responsibilities

Plan, develop and execute product quality strategies for Meta's products
Develop test strategies for business critical projects to ensure product correctness before launch
Collaborate with a team of in-house and offshore testers to conduct black box testing
Spearhead initiatives that influence engineering organizations to build a quality-driven approach
Partner with engineering and infrastructure teams to leverage automation for scalable solutions to prevent regressions and ensure reliability of products
Identify gaps and opportunities to improve quality
Define and implement QA processes to optimize and scale testing within the product
Establish and drive the adoption of quality metrics that help measure test effectiveness, efficiency, and overall quality of product
Assess non-functional (e.g. i18n, l10n, a11y) product quality in collaboration with other quality focused teams and provide key insights to product teams
Engage and influence stakeholders across all levels and functions to keep them informed of the quality program's progress and secure their buy-in on critical decisions

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)