Trust and Safety Investigator Anti-Automation

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 position will be hybrid in LinkedIns Mountain View campus.

This role is for a Trust and Safety Investigator focused on Anti-Scraping who will play a critical role in protecting LinkedIns members as part of the Trust & Safety Investigations team. Were looking for an individual with experience conducting technical investigations into financially motivated abuse and technical threats who is accustomed to supporting incident response and working collaboratively across both non-technical and technical teams. 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 written and analytic products to drive business decisions.

Our Trust Investigators play a key role in protecting LinkedIns members and our platform from outside threats; 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 potential platform abuse by third-party applications and services
• Produce high-quality analytic products for review by senior leadership
• Conduct investigations at the direction of counsel with the highest degree of discretion and operational security
• Collaborate with a cross-functional working group comprising Engineering Product management and Legal on a daily basis
• Manage security incident response relating to scraping and data exposure incidents
• Organize and effectively track investigations and reports of abuse
• Prioritize and execute work assignments with limited oversight

Qualifications :

Basic Qualifications:

• BA/BS Degree or related technical discipline or related practical experience.
• 2 years of professional experience conducting investigations relating to cybercrime or platform abuse
• Experience writing SQL queries
• Experience interpreting data and behavioral patterns to identify evidence of abuse
• Experience conducting open-source intelligence investigations

Preferred Qualifications:

• Experience with basic Python or similar coding language(s)
• Ability to produce high-quality written work products
• Experience performing packet capture and analysis
• Experience debugging web applications and analyzing HTTP requests
• Experience using Pandas and Jupyter for data analysis
• Experience responding to security incidents
• Experience managing complex technical investigations
• Experience working with members of cross-functional teams including legal counsel

Suggested Skills:

• Cyber Crime Investigations
• SQL
• Adversarial abuse analysis
• AI 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 $106000 to $175000. Actual compensation packages are based on a wide array of factors unique to each candidate including but not limited to skill set years & depth of experience certifications and specific office location. This may differ in other locations due to cost of labor considerations.

The total compensation package for this position may also include annual performance bonus stock benefits and/or other applicable incentive compensation plans. For additional 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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• Documents in alternate formats or read aloud to you
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• Being accompanied by a service dog
• Having a sign language interpreter present for the interview

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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