Trust Technical Investigator

LinkedIn • Mountain View, CA

6d • Hybrid

About The Position

LinkedIn’s Trust Investigations team is hiring a Trust Technical Investigator to help manage fraud and scams and ensure a safe, trustworthy experience for members. The role focuses on detecting, understanding, and mitigating coordinated, persistent, and high-harm activity by adversarial actors. The investigator leads complex investigations and incidents and uses case insights to build and maintain detection rules, data pipelines, and runbooks that help stop scam activity at scale.

The role partners closely with Product, Engineering, Data Science, Intelligence, Product Risk, Legal, and Policy teams. Investigative findings inform product vulnerability assessments, risk recommendations, product planning, and the company’s broader trust and safety strategy. The investigator also represents the technical work in cross-functional forums and externally to sector peers, and mentors other investigators.

The position is hybrid at LinkedIn’s Mountain View campus, with work performed both from home and from a LinkedIn office on selected days based on team business needs.

Requirements

• Bachelor’s degree in Cyber Security, Criminal Justice, or another related technical discipline, or equivalent technical experience.
• At least 3 years of experience with scripting or data analysis tools such as SQL or Python, including synthesizing complex data into actionable insights.
• At least 3 years of experience proactively investigating account, content, or behavioral abuse in trust and safety, social media, online platforms, or fintech, including meaningful direct experience with fraud or scams.
• At least 3 years of experience with investigation techniques and tools and evidence handling, including work across diverse structured and unstructured data sets.

Nice To Haves

• BS and at least 5 years of relevant work experience, MS and at least 4 years, or PhD and at least 2 years.
• Direct experience building or maintaining detection rules, alerting logic, or data pipelines, rather than only consuming them.
• Strong technical acumen and 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 ability to adapt them to social-platform scam typologies.
• Demonstrated ability to navigate cross-functional dependencies and foster collaboration across Engineering, Product, Data Science, and Legal teams.
• Excellent written and verbal communication skills and ability to influence across all levels of an organization.
• Experience mentoring or developing other investigators.
• Experience working in global teams across multiple locations and time zones.

Responsibilities

• 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.
• Author detection rules and data pipelines tailored to scam patterns and typologies.
• Keep investigative tradecraft current with tools, techniques, and adversary tactics used across fraud and scams.
• Partner with Engineering and Data Science to improve analysis, threat hunting, and scam mitigations.
• Develop technical playbooks that help the broader team scale its investigative work.
• Work with Intelligence and Product Risk teams so investigative findings and intelligence inform product planning and risk posture.
• Collaborate with Product, Engineering, Data Science, Legal, and Policy partners to align investigative priorities with product roadmaps and trust and safety strategy.
• Represent the technical substance of the team’s work in cross-functional forums and externally to sector peers.
• Mentor investigators in technical, investigative, and tooling capabilities, fostering rigor and continuous learning.

Benefits

• Generous health and wellness programs.
• Time away for employees of all levels.
• The total compensation package may include an annual performance bonus, stock, benefits, and/or other applicable incentive compensation plans.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level