Senior Trust Technical Investigator

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 LinkedIns Mountain View campus.

Trust Investigations is seeking a Senior Technical Investigator to support our work managing fraud and this role youll 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 this role you will run investigations and contribute to building our technology as we operate an AI-first trust environment: youll 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 youll 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 teams 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

• Masters 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 $136000 to $221000. 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 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.

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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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No

Employment Type :

Full-time