LinkedIn · 8 hours ago
Senior Staff Security Engineer, Trust investigations
LinkedIn is the world’s largest professional network, built to create economic opportunity for every member of the global workforce. They are seeking a Senior Staff Security Engineer to lead incident response efforts, develop automated workflows, and collaborate with various teams to enhance security measures against abuse and fraud. This role involves leveraging AI and machine learning to create proactive detection capabilities and ensure a trusted environment for LinkedIn’s users.
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Responsibilities
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, 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
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
Qualification
Required
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
Demonstrated ability to conceptualize, prototype, and bring to production innovative solutions addressing abuse detection and incident response challenges
Experience designing and maintaining high-throughput, scalable systems to address real-time security issues on platforms with global reach
Experience building IR platforms that integrate modular tools with AI to improve situational awareness and response time
Ability to clearly articulate complex technical concepts to broader audiences and mentor junior engineers in building advanced detection and response capabilities
Benefits
Generous health and wellness programs
Time away for employees of all levels
Annual performance bonus
Stock
Benefits and/or other applicable incentive compensation plans
Company
LinkedIn is a professional networking site that allows users to create business connections, search for jobs, and find potential clients. It is a sub-organization of Microsoft.
H1B Sponsorship
LinkedIn has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (892)
2024 (1108)
2023 (913)
2022 (1580)
2021 (1043)
2020 (1146)
Funding
Current Stage
Public CompanyTotal Funding
$154.8MKey Investors
Bain Capital VenturesGreylockSequoia Capital
2016-06-13Acquired
2016-02-15Private Equity
2014-04-01Series Unknown
Recent News
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