Senior Security Engineer, Trust investigations

Senior Staff Security Engineer, Trust investigations

• Full-time
• Workplace Type:
  Hybrid

Linked In 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.

At Linked In, 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 Linked In office on select days, as determined by the business needs of the team.

This role will be based in Mountain View, CA.

Join Linked In’s Trust Engineering team as a Senior Staff Security Engineer in our Incident Response team, where you ll play a pivotal role in safeguarding Linked In’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 s 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 Linked In’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 Linked In!

• 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.
• 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.
• Build and maintain partnerships with Trust Operations, Info Sec, 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 Linked In s detection and response capabilities while driving resiliency across the Trust organization.

• 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…