Senior Staff Security Engineer, Trust Investigations

Company Description LinkedIn is the world’s largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We’re also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that’s built on trust, care, inclusion, and fun – where everyone can succeed.

Join us to transform the way the world works.

Job Description At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team.

This role will be based in Mountain View, CA.

Join LinkedIn’s Trust Engineering team as a Senior Staff Security Engineer in our Incident Response team, where you'll play a pivotal role in safeguarding LinkedIn’s members and platform against persistent and adversarial abuse. You’ll work alongside Product, Engineering and Investigators to create cutting-edge technologies to fight abuse and fraud at scale. This role focuses on building proactive detection and incident response capabilities leveraging AI, machine learning, and innovative engineering practices. You'll work at the confluence of engineering, security, and trust operations to ensure a safe and trusted environment for LinkedIn’s global user base.

If you're passionate about using engineering to foster trust and safety across a global platform, join our team and help shape the future of trust engineering at LinkedIn!

Key Responsibilities:

• Incident Response Leadership:

• Lead technical response to major incidents, mitigating adversarial abuse such as phishing, scams and account integrity attacks.
• Develop automated workflows and runbooks to detect and mitigate abuse incidents at scale.
• Create and implement incident response methodologies for rapid, efficient, and cross-functional management of adversarial abuse.
• Drive detection strategy, and collaborate with other Eng leaders to develop systems that detect abusive patterns early through AI/ML-based clustering, anomaly detection, and signals intelligence.

• Engineering Execution:

• Implement and scale solutions for a variety of abuse types while delivering actionable insights for mitigations at the product level.
• Design process and technology for operational efficiency, such as real-time dashboards, triage widgets, and high-impact post-mortem processes.
• Author rules for enforcement that augment existing ML systems.

• Cross-Team Collaboration:

• Build and maintain partnerships with Trust Operations, InfoSec, and engineering teams to ensure intelligence sharing, unified strategies, and cohesive defensive workflows.
• Represent the Incident Response and Investigations teams to Senior leaders across the company.

• Innovation & Organizational Growth:

• Spearhead the development of advanced, agentic AI technologies and automated triage frameworks.
• Deliver high-leverage infrastructure that enhances LinkedIn's detection and response capabilities while driving resiliency across the Trust organization.

Qualifications Basic Qualifications:

• BS/BA in Computer Science or related technical field or equivalent technical experience
• 5+ years of experience building large-scale abuse detection and mitigation systems in collaborative, cross-disciplinary environments.
• 5+ years of experience solving complex problem spaces in security, detection engineering, and operational workflows.
• Experience in crafting incident response frameworks and engineering solutions leveraging AI/ML for scalable detection and automation.
• Experience in delivering high-impact, production-grade tooling and processes to address evolving abuse challenges.

Preferred Qualifications:

• Track Record of Innovation: Demonstrated ability to conceptualize, prototype, and bring to production innovative solutions addressing abuse detection and incident response challenges.
• Large-Scale System Expertise: Experience designing and maintaining high-throughput, scalable systems to address real-time security issues on platforms with global reach.
• Hands-On Experience with Detection and Automation Platforms: Experience building IR platforms that integrate modular tools with AI to improve situational awareness and response time.
• Strong Communication and Mentorship Skills: Ability to clearly articulate complex technical concepts to broader audiences and mentor junior engineers in building advanced detection and response capabilities.

Suggested Skills:

• Technical Leadership
• Abuse Detection Engineering
• Incident Management
• Automation

Additional Information You will Benefit from our Culture

We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $181,000 - $297,000. Actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications and specific office location. This may differ in other locations due to cost of labor considerations. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For additional information, visit: https://careers.linkedin.com/benefits.

Equal Opportunity Statement We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

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