Meta is seeking an engineering director to join our Central Integrity team which exists to keep billions of people safe on Meta's platforms. We design and deploy systems that detect and disrupt harm at an unprecedented global scale, making this one of the largest deployments of AI for positive real-world impact anywhere in the industry. Our work safeguards critical areas including child and youth safety, fraud and scams, identity and authenticity and more while actively building defenses against novel frontier threats, such as autonomous AI agents and automated risk vectors. This represents some of the most technically demanding and high-stakes engineering and product at Meta, driven by a deeply mission-focused team. You'll combine strong engineering fundamentals with cutting-edge AI to build effective, adaptable solutions that stay ahead of evolving integrity and safety risks. If you are driven by hard technical challenges and want your work to deliver immediate, real-world impact, this is where you belong.

Qualifications:

10+ years of experience in software engineering, with a focus on front end or UI development 7+ years of engineering management experience, including managing engineering managers Track record of building and scaling engineering organizations, including recruiting, developing, and managing the performance of engineers and engineering leaders Experience forming cross-functional partnerships across product, design, and data science to deliver large-scale engineering outcomes Experience reasoning rigorously with metrics and data, with understanding of statistical uncertainty, bias, and ecosystem trade-offs Experience with integrity, trust and safety, or content moderation systems Track record of driving cross-org collaboration and building trusted partnerships with senior leadership Experience leading engineering teams through significant platform or tooling transitions, including AI-powered capabilities Commitment to protecting people and businesses, with commitment to making platforms safer Experience applying AI and LLMs to measurement, analytics, or data platform challenges