Senior Trust Technical Investigator - Anti-Automation
About The Position
LinkedIn is seeking a Trust and Safety Investigator focused on combating abusive automation. The role is part of the Trust & Safety Investigations team and protects LinkedIn members and the platform through technical investigations into financially motivated abuse and scaled threats. The investigator works across technical and non-technical teams on complex investigations and incident response, with specialized knowledge of scraping and automation abuse. The position calls for independently gathering and analyzing data and producing high-quality intelligence artifacts that help drive member-safety solutions. The role is hybrid and based at LinkedIn’s Mountain View Campus. The investigator works in a fast-paced, collaborative team, taking ownership of casework and using AI-assisted workflows, agents, and notebooks to scale investigations while evaluating the quality and accuracy of AI-generated output.
Requirements
- Bachelor’s 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.
- Suggested skills: Cyber Crime Investigations, SQL, adversarial abuse analysis, AI-first workflows and automation, and anti-scraping.
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 that includes peers 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
- 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.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
