Trust and Safety Investigator - Anti-Automation at LinkedIn

Mountain View, California, United States -

Full Time

Start Date

Immediate

Expiry Date

17 Jun, 26

Salary

175000.0

Posted On

19 Mar, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Anti-Scraping, Technical Investigations, Financially Motivated Abuse, Incident Response, Data Analysis, SQL, Open-Source Intelligence, Python, Packet Capture, HTTP Requests, Pandas, Jupyter, Cyber Crime Investigations, Adversarial Abuse Analysis, AI Workflows, Automation

Industry

Software Development

Description

Company Description 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. Job Description 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 LinkedIn's Mountain View campus. This role is for a Trust and Safety Investigator focused on Anti-Scraping, who 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 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 LinkedIn’s 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 $106,000 to $175,000. 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: https://careers.linkedin.com/benefits. Additional 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. 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 at [email protected] and describe the specific accommodation requested for a disability-related limitation. 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 for Job Candidates Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://legal.linkedin.com/candidate-portal. Workplace Type: Hybrid Career Track & Grade: IC3/8 Department: Engineering

Responsibilities

The investigator will be responsible for investigating potential platform abuse by third-party applications and services, producing high-quality analytic products for senior leadership review. They will also conduct investigations under counsel direction with high discretion and collaborate daily with cross-functional teams including Engineering, Product Management, and Legal.