Security Engineering Manager, Applied AI

Meta is seeking a Security Engineering Manager to lead a team of domain experts in our Applied Artificial Intelligence (AAI) organization. The team spans security, privacy, and trust and safety, and its mandate is to solve hard, real-world problems in those domains and turn the expert reasoning behind those solutions into the signal that improves what AI systems are capable of. Improved models ship back to the engineering and operations teams who do this work at Meta, so your team's output compounds: it raises the capability of both the models and the practitioners who depend on them.

As a manager here you are accountable for two things at once. The first is your team: health, engagement, growth, and performance for a group of experienced practitioners. The second is the technical output: the volume, quality, and complexity of the expert signal your team produces, prioritized against the capability gaps that matter most. You will also keep a hand in the work itself, because in this environment credibility with your team comes from current domain judgment rather than from past experience.

This is an applied research environment at an early stage. The problems are real and high priority, the road is not fully paved, and problem selection sits with the domain experts rather than being handed down. It is a strong fit for a manager who is energized by that and a poor fit for someone who wants a settled roadmap and a stable problem set.