安全工程经理，反爬虫

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

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

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

Meta builds technologies that help people connect, find communities, and grow businesses.

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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.

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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.

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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.