Senior Trust Technical Investigator - Anti-Automation

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.

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.

This role is for a Trust and Safety Investigator focused on combating abusive automation. You will play a critical role in protecting LinkedIn’s members as part of the Trust & Safety Investigations team. We’re looking for an individual with experience conducting technical investigations into financially motivated abuse and scaled threats, who is accustomed to working collaboratively across both non-technical and technical teams for deep technical investigations and incident response. The ideal candidate will have specialized knowledge on scraping and automation abuse, can independently pull and analyze data for investigations and can produce high-quality intelligence artifacts to drive solutions in member safety.

Our Trust Investigators play a key role in protecting LinkedIn’s members and our platform from harm; we are looking for a self-starter who takes ownership over their work and enjoys being part of a fast-paced, collaborative team that values results.

Responsibilities:

• Investigate platform abuse by third-party applications and services

• Produce high-quality analytic products for senior Trust leadership

• Collaborate with a cross-functional working group of peers from Engineering, Product management and Legal on a daily basis

• Manage incident response relating 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.

Basic Qualifications:

• BA/BS Degree in Computer Science, Cyber Security, digital forensics, or related technical discipline, or related practical experience.

• 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

Preferred Qualifications:

• Master's Degree in Cyber Security, Criminal Justice, Computer Science, or a related technical discipline.

• 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 the 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, with the ability to produce clear, well-supported investigation reports for technical and non-technical audiences
• Experience with packet capture and network traffic analysis (e.g., Wireshark, 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

• Anti-scraping

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 https://careers.linkedin.com/benefits.

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.

If you need a Reasonable Accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us and describe the specific Accommodation requested for a disability-related limitation.
Fill out an Accommodation request here: https://app.smartsheet.com/b/form/b660a0327d044969abfd7a4e73d15c36

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.

San Francisco Fair Chance Ordinance ​

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

Pay Transparency Policy Statement ​

As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency.

Global Data Privacy Notice and Compliance Posters for Job Candidates

Please use this link to access documents that provide information about how LinkedIn handles the personal data of employees and job applicants, as well as the E-Verify Participation Notice and the Department of Justice Immigrant and Employee Rights Section Right to Work posters: https://www.linkedin.com/legal/candidate-portal.