Security Engineering Manager, Anti-Scraping

Meta is seeking a Security Engineering Manager to lead our Anti-Scraping engineering team within the Privacy Engineering organization. Scraping poses a significant threat to user privacy, platform integrity, and data security across Meta's family of apps, and this team builds the detection systems, enforcement pipelines, and adversarial defenses that protect billions of users from unauthorized data collection. In this role, you will lead a team of engineers developing scalable anti-scraping infrastructure, working at the intersection of privacy engineering, threat detection, and abuse prevention. You will partner closely with Privacy, Security, Legal, and Product teams to define strategy, drive technical roadmaps, and deliver systems that proactively identify and mitigate scraping threats at scale.

Responsibilities

Lead and develop a team of engineers building detection, enforcement, and mitigation systems to combat unauthorized data scraping across Meta's platforms
Define and drive the technical roadmap for anti-scraping infrastructure, balancing near-term threat response with long-term platform resilience
Partner with Privacy, Security, Legal, and Policy teams to align anti-scraping strategy with regulatory obligations and user privacy commitments
Oversee the design and operation of adversarial detection pipelines that identify scraping patterns across web, mobile, and API surfaces
Establish operational objectives and delegate work in ways that develop team members' skills in abuse detection, rate limiting, bot mitigation, and enforcement systems
Evaluate and communicate tradeoffs between detection coverage, false positive rates, and enforcement aggressiveness to leadership and cross-functional stakeholders
Foster a team culture of responsible and ethical use of AI and automation tools in building privacy-protective systems
Actively monitor team performance, provide actionable feedback, and address performance gaps to maintain a high-performing engineering organization
Represent the anti-scraping team in cross-functional forums, translating complex threat landscapes and technical approaches for non-technical audiences including legal and policy partners
Identify and remove barriers that slow detection and enforcement cycles, including simplifying review processes and clarifying decision-making authority across dependent teams

Qualifications

8+ years of experience in security engineering, privacy engineering, abuse prevention, or a closely related technical domain
4+ years of experience managing software or security engineering teams, including performance management and hiring
Experience designing or operating systems for threat detection, bot mitigation, rate limiting, or abuse prevention at scale
Experience building cross-functional relationships and influencing technical and non-technical stakeholders on security or privacy strategy
Experience communicating technical risk assessments and enforcement tradeoffs in written form to leadership and partner teams
BS in Computer Science or equivalent experience in Security Demonstrated ability to integrate AI tools to optimize detection workflows and drive measurable improvements in coverage or enforcement efficiency
Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
Experience applying machine learning or behavioral analytics to abuse detection or anomaly identification in large-scale production environments
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 working within a privacy or regulatory compliance context, including familiarity with data protection frameworks relevant to unauthorized data collection
Experience with adversarial systems, including knowledge of scraping techniques, bot infrastructure, and evasion methods used by threat actors