Senior Trust Technical Investigator - Anti-Automation

LinkedIn • Mountain View, CA

1d • Hybrid

About The Position

The Senior Trust Technical Investigator is part of LinkedIn’s Trust & Safety Investigations team and focuses on combating abusive automation. The role protects LinkedIn members and the platform by conducting technical investigations into financially motivated abuse and scaled threats, including scraping, bot activity, automation abuse, and data exposure. The investigator works collaboratively with technical and non-technical teams, independently analyzes data, and produces high-quality intelligence and investigation reports to inform member-safety solutions and senior leadership.

The position is hybrid, performed from home and LinkedIn’s Mountain View Campus on select days according to business needs. The investigator manages incident response, prioritizes casework with limited oversight, and uses AI-assisted workflows, agents, and notebooks to scale investigations while evaluating the quality and accuracy of AI output.

Requirements

• BA/BS degree in Computer Science, Cyber Security, digital forensics, or a related technical discipline, or related practical experience.
• At least 5 years of professional experience conducting investigations relating to cybercrime, fraud, or platform abuse.
• Experience working with SQL, Python, and other methods of analyzing threat data.
• Experience interpreting data and behavioral patterns to identify evidence of abuse.
• Experience conducting open-source intelligence investigations.

Nice To Haves

• Master’s degree in Cyber Security, Criminal Justice, Computer Science, or a related technical discipline.
• At least 8 years of experience investigating scraping, bot, and automation abuse on social networks, marketplaces, or other large-scale online platforms.
• Demonstrated AI skill development, including prompt and context engineering, agent use, and quality and accuracy review of AI output, with a record of applying AI to improve investigative workflows.
• Technical acumen and ability to translate data and investigative outcomes into actionable insights for Engineering, AI partners, and senior leadership.
• Hands-on experience with Python or a similar scripting language to analyze data, automate workflows, and reproduce abuse techniques.
• Experience leading complex technical investigations from detection through resolution, including scraping, bot activity, or other platform abuse.
• Strong written communication skills and ability to produce clear, well-supported investigation reports for technical and non-technical audiences.
• Experience with packet capture and network traffic analysis, such as Wireshark or tcpdump.
• Experience analyzing HTTP traffic and debugging web applications to identify automated or anomalous client behavior.
• Experience analyzing large datasets with tools such as Pandas and Jupyter to spot patterns, link actors, and quantify impact.
• Experience responding to security incidents or platform abuse escalations.

Responsibilities

• Investigate platform abuse by third-party applications and services.
• Produce high-quality analytic products for senior Trust leadership.
• Collaborate daily with a cross-functional working group from Engineering, Product Management, and Legal.
• Manage incident response relating to automation abuse, scraping, and data exposure.
• Organize and effectively track investigations and reports of abuse.
• Prioritize and execute casework with limited oversight.
• Use AI-assisted workflows, agents, and notebooks to scale investigation and analysis, and evaluate the quality and accuracy of AI output.

Benefits

• Health and wellness programs
• Time away for employees
• Annual performance bonus may be included in the total compensation package
• Stock may be included in the total compensation package
• Benefits and/or other applicable incentive compensation plans may be included in the total compensation package

What This Job Offers

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