Security Engineering Manager, Applied AI

Meta Careers; Menlo Park (CA); On-site; USD 184,000 - 257,000; Full time

Benefits offered by this job

Bonus

Equity

Benefits

Job summary

Meta is seeking a Security Engineering Manager in Menlo Park to lead a team of domain experts across security, privacy, integrity, and trust and safety. The role balances people leadership with hands-on technical contributions and requires guiding the team's output to improve AI model safety and reliability.

You will collaborate with model researchers and partner engineers, nurture growth, manage performance, and shape roadmaps for high-impact work in a dynamic, early-stage applied AI

Qualifications

• 8+ years in security/privacy/trust or related field.
• 4+ years of people management experience.
• Proficiency in Python, Go, C/C++, or shell scripting.
• Experience leveraging AI tools to redesign workflows and drive impact.

Responsibilities

• Lead a team of experienced engineers across security, privacy, integrity, and trust and safety, ensuring health and retention.
• Own people development: 1:1s, growth plans, performance management.
• Guide the volume, quality, and complexity of the team's expert signal, prioritizing gaps.
• Provide technical direction within the domain and collaborate with leads to resolve issues.
• Maintain direct technical contribution to stay credible.
• Initiate incubated research projects and internal advisory engagements.
• Collaborate with partner engineering managers, technical leads, and researchers to ensure successful workstreams.
• Grow individual contributors toward the next level through coaching and opportunities.

Skills

Security leadership

People management

Python

Go

C/C++

Shell scripting

AI tooling

System security

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.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.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 retentionOwn people development end to end: regular 1:1s, growth planning, feedback, performance management, and supporting people through team and organizational changeHold accountability for the volume, quality, and complexity of the expert technical signal your team produces, prioritizing against identified capability gaps in model performanceConnect your team to the highest-impact work by mapping individual strengths, growth areas, and interests to the right workstreams and projectsProvide technical direction and guidance within the domain, and debug issues in quality or output together with your technical leadsMaintain direct technical contribution alongside your team so your domain judgment stays current and credibleInitiate or advise incubated research projects and internal advisory engagements, including identifying gaps in technical assumptions and roadmapsCollaborate with partner engineering managers, technical leads, and model researchers to ensure workstreams operate successfullyGrow individual contributors toward the next level through coaching and by identifying or creating the opportunities that make growth possibleContribute beyond your immediate team to recruiting, organizational health, internal technical forums, and company-wide engineering programsMinimum Qualifications:8+ years of experience in security, privacy, integrity, trust and safety, or a related technical field, including hands-on technical management4+ years of experience in people management and organizational leadershipDemonstrated 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 workProficiency in coding with experience in languages such as Python, Go, C/C++, or shell scriptingExperience leveraging AI tools to redesign workflows and drive measurable impact, such as efficiency gains or quality improvementsDemonstrated ability to lead teams through complex, ambiguous problems where the roadmap is still being definedPreferred 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 technologiesExperience creating structured methodologies that scale domain expertise across teamsExperience improving AI model performance through expert feedback, red-teaming, or evaluation designContributions 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 engineeringExperience designing benchmarks, evaluation harnesses, or other measurement for technical capabilityExperience growing individual contributors to the next level, with the growth attributable to your coachingAbout 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.Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [e-mail].$184,000/year to $257,000/year + bonus + equity + benefitsIndividual 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.