Security Engineering Manager, Applied AI

Meta; Greater London; On-site; GBP 120,000 - 180,000; Full time

Job summary

Meta is seeking a Security Engineering Manager to lead a team of domain experts in the Applied Artificial Intelligence organization. The team spans security, privacy, integrity, and trust and safety, delivering expert signals to improve AI systems.

You will balance team health with high-impact technical output while staying credible through hands-on involvement. You will own people development, guide technical direction, and collaborate with partners to ensure successful workstreams, while also

Qualifications

• Bachelor's or Master’s in CS, cybersecurity, or related field, or equivalent experience.
• 8+ years in security, privacy, integrity, trust & safety, or related field with hands-on management.
• 4+ years in people management and organizational leadership.
• Proficiency in coding with Python, Go, C/C++, or shell scripting.
• Experience using AI tools to redesign workflows and drive measurable impact.
• Ability to lead teams through complex, ambiguous problems with undefined roadmaps.

Responsibilities

• Support, grow and manage a team across security, privacy, integrity, and trust and safety.
• Own end-to-end people development: 1:1s, growth planning, performance reviews.
• Influence the volume, quality and complexity of the team’s expert technical signal.
• Match strengths and interests to the right workstreams and projects.
• Provide technical direction and debug issues with technical leads.
• Maintain direct technical contribution to stay current.
• Lead incubated research and advisory engagements and close gaps in roadmaps.
• Collaborate with partner managers, leads, and researchers for successful workstreams.
• Mentor ICs toward next levels via coaching and growth opportunities.
• Contribute to recruiting and engineering programs.

Skills

Python

Go

C/C++

Shell scripting

People management

AI tooling

Security expertise

Education

Bachelor's or Master's in CS / Cybersecurity

Tools

Security tooling

Threat modelling tools

Job description

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.

Security Engineering Manager, Applied AI Responsibilities:

• Support, develop, and grow a team of experienced engineers across security, privacy, integrity, and trust and safety, with accountability for team health, engagement, and retention
• Own people development end to end: regular 1:1s, growth planning, feedback, performance management, and supporting people through team and organizational change
• Hold accountability for the volume, quality, and complexity of the expert technical signal your team produces, prioritizing against identified capability gaps in model performance
• Connect your team to the highest-impact work by mapping individual strengths, growth areas, and interests to the right workstreams and projects
• Provide technical direction and guidance within the domain, and debug issues in quality or output together with your technical leads
• Maintain direct technical contribution alongside your team so your domain judgment stays current and credible
• Initiate or advise incubated research projects and internal advisory engagements, including identifying gaps in technical assumptions and roadmaps
• Collaborate with partner engineering managers, technical leads, and model researchers to ensure workstreams operate successfully
• Grow individual contributors toward the next level through coaching and by identifying or creating the opportunities that make growth possible
• Contribute beyond your immediate team to recruiting, organizational health, internal technical forums, and company-wide engineering programs

Minimum Qualifications:

• B.S. or M.S. in Computer Science, Cybersecurity, or related field, or equivalent experience
• 8+ years of experience in security, privacy, integrity, trust and safety, or a related technical field, including hands-on technical management
• 4+ years of experience in people management and organizational leadership
• Demonstrated technical depth in at least one of security, privacy, integrity, or trust and safety, sufficient to set direction and assess the quality of expert technical work
• Proficiency in coding with experience in languages such as Python, Go, C/C++, or shell scripting
• Experience leveraging AI tools to redesign workflows and drive measurable impact, such as efficiency gains or quality improvements
• Demonstrated ability to lead teams through complex, ambiguous problems where the roadmap is still being defined

Preferred Qualifications:

• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
• Experience creating structured methodologies that scale domain expertise across teams
• Experience improving AI model performance through expert feedback, red-teaming, or evaluation design
• Contributions to the security, privacy, or integrity community (original research, tools, conference presentations, publications)
• Demonstrated depth in adversarial analysis of software systems, abuse and integrity systems, or privacy and data protection engineering
• Experience designing benchmarks, evaluation harnesses, or other measurement for technical capability
• Experience growing individual contributors to the next level, with the growth attributable to your coaching

About Meta:

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.