Senior Trust Technical Investigator

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 hybrid in LinkedIn's Mountain View campus.

Trust Investigations is seeking a Senior Technical Investigator to support our work managing fraud and scams. In this role, you'll develop and apply approaches to detect, understand and mitigate coordinated, persistent, and high-harm activity from highly adversarial actors, helping ensure a safe and trustworthy experience for LinkedIn members.

Our teams work in close partnership with product, engineering, and data science partners dedicated to advancing our visibility, controls and measurement. In this role you will run investigations and contribute to building our technology as we operate an AI-first trust environment: you'll lead complex investigation and incidents, using case insights to develop and maintain our detection rules, pipelines, and runbooks that help LinkedIn stop scam activity at scale. Our investigations drive product vuln assessments and risk recommendations, so you’ll work with our intelligence and product-risk teams to ensure findings inform how the company builds and protects its products going forward.

Key Responsibilities

Investigation & Incident Leadership

• Lead root-cause investigations into complex, coordinated, or high-impact scam campaigns and abuse networks, from initial leads through resolution.

• Serve as incident commander for major scam-related incidents, coordinating response and ensuring timely, accurate resolution.

• Generate proactive investigative leads and track emerging coordinated threat activity relevant to scams and fraud.

Detection Engineering & Technical Tradecraft

• Author detection rules and data pipelines tuned specifically to scam patterns and typologies.

• Innovate on investigative tradecraft, staying current on tools, techniques, and adversary tactics used across the fraud and scams landscape broadly.

• Partner with Engineering and Data Science to build and refine how we do analysis, threat-hunting and mitigations for scams.

• Develop technical playbooks that help the broader team scale its investigative work.

Cross-Functional Partnership & Vulnerability Reporting

• Partner with intelligence and product-risk teams to ensure investigative findings and intel inform product planning and risk posture.

• Collaborate with Product, Engineering, Data Science, Legal, and Policy partners to align investigative priorities with product roadmaps and the broader trust and safety strategy.

• Represent the technical substance of your team's work in cross-functional forums and externally to peers in the sector.

Quality & Mentorship

• Mentor other investigators on technical, investigative, and tooling capabilities, fostering a culture of rigor and continuous learning.

Qualifications

Basic Qualifications

• BS/BA in cyber security, criminal justice, computer science, or a related technical discipline, or equivalent technical experience.

• 5+ years of experience with scripting or data analysis tools (SQL, Python, or similar), with the ability to synthesize complex data into actionable insights.

• 5+ years of experience in proactive threat investigations of account, content, or behavioral abuse in trust & safety, social media, online platforms, or fintech — including meaningful direct experience with fraud or scams.

• 3+ years of experience with investigation techniques/tools and evidence handling, including working across diverse structured and unstructured data sets.

Preferred Qualifications

• Master's Degree in cyber security, criminal justice, computer science, or a related technical discipline.

• Direct experience building or maintaining detection rules, alerting logic, or data pipelines (not just consuming them).

• Strong technical acumen and the ability to translate data and investigative outcomes into actionable insights for engineering, AI, and senior leadership partners.

• Experience leading proactive threat or fraud hunting against large-scale, coordinated abuse.

• Experience with frameworks such as MITRE ATT&CK or the cyber kill chain, and the ability to adapt them to social-platform scam typologies.

• Demonstrated ability to navigate cross-functional dependencies and drive collaboration across engineering, product, data science, and legal teams.

• Excellent written and verbal communication skills, with the ability to influence across all levels of an organization.

• Experience mentoring or developing other investigators.

• Experience working in global teams spanning multiple locations and time zones.

Suggested Skills

• Trust & Safety / Fraud Investigations

• Detection Engineering (rules, jobs, pipelines)

• Coordinated / complex fraud investigations

• Threat Intelligence

• Platform Abuse Prevention

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 $136,000 to $221,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor.

The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit

Additional Information

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.

LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful.

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Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to:

• Documents in alternate formats or read aloud to you
• Having interviews in an accessible location
• Being accompanied by a service dog
• Having a sign language interpreter present for the interview

A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response.

LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information.

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Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records.

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Workplace Type: HybridCareer Track & Grade: IC4/9Department: Engineering