Senior Lead Analyst, Accounts Review

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 role will be based in Sunnyvale, CA.

Searching for your dream job? At LinkedIn, we strive to help our employees find passion and purpose. Join us in changing the way the world works. We are looking for a Senior Lead Analyst, Account Review for TRO to be a critical part of keeping LinkedIn a professional and safe place. In this role, you will be responsible for exhibiting and maintaining expertise in identifying and understanding abuse perpetrated by inauthentic entities on Linkedin. You will be leading cross-functional initiatives for the Account Measurement Ops Team, collaborating with stakeholders across product, data science, engineering, and policy to strengthen adversarial account detection and drive key measurement objectives. Day to Day responsibilities will include maintaining industry expertise, facilitating alignment among stakeholders, identifying process and tooling gaps, documenting processes for leadership, and mentoring junior staff while implementing strategic solutions to enhance precision, recall, and program efficiency.

Responsibilities{{:}}

• Lead the Account Measurement Ops Teams cross-functional initiatives and projects coordinating efforts with product, data science, engineering, policy, AI and research teams to drive key measurement objectives
• Facilitate a shared understanding and alignment of adversarial account identification across stakeholders at all levels through calibrations, knowledge sharing sessions and presentations
• Serve as the lead expert in account reviews and maintain an expert and defensible ability to adjudicate within the team and with xfn partners.
• Consistently complete account reviews to ensure maintained quality and confidence in the ARE output as well as to maintain expertise in account review.
• Provide coaching to the Account Review Experts to ensure precision and recall is within an acceptable range to maintain confidence in the reviews.
• Ensure all process owners in measurement and the account review experts are well calibrated and continue to calibrate as adversarial behaviour changes
• Drive tooling recommendations and prioritization related to distinguishing adversarial behaviour from good member activity changes to improve precision and recall for account reviews
• Leads communication and collaboration among stakeholders to drive alignment in shared goals
• Leads by example. Demonstrating high performance and professionalism in all activities and identifying key areas for improvement for junior staff - creating and facilitating avenues for growth
• Maintain and grow expertise in industry level trends related to measurement, account review, account abuse trends and scams through proactive learning, education and knowledge share with xfn partners
• Present on and educate xfn partners at all levels on identifying account abuse, defending mental model and advocating for needs to drive buy in
• Documents program level processes, procedures and vision docs for exec level consumption
• Makes proposals to leadership to develop and lead initiatives end to end for improving overall measurement program for accounts
• Tactically implements and executes strategic processes for measurement and represents Ops perspective with outside teams and stakeholders
• Proposes, coordinates and implements changes based on feedback reports by liaising with xfn partners and proactively develops and adjusts review processes providing subject matter expert input and recommendations.

Qualifications

Basic Qualifications{{:}}

• BA/BS Degree or related technical discipline, or related practical experience
• 4+ years of experience in the account abuse space with emphasis in standing up measurement metrics for account abuse. Experience should span across AI, Engineering and data science.
• 2+ years of experience identifying inauthentic accounts, behaviour and trends with a proven ability to explain reasoning across leadership levels
• Exceptional written and verbal communication skills using a variety of communication channels

Preferred Qualifications{{:}}

• Master's Degree in a related technical discipline
• 6+ years of experience in the account abuse space with emphasis in standing up measurement metrics for account abuse. Experience should span across AI, Engineering and data science.
• 1+ years of direct account labeling experience
• Passion and proven ability in understanding and identifying account abuse across online platforms
• Deep knowledge of fraud investigations and the tools/technologies that support it; familiarity with account take-overs, phishing, fake accounts, known trends for adversarial behaviour and SPAM
• Experience with high-level project management, stakeholder engagement, and influencing cross-functional initiatives for scalability and long-term impact delivering high-level organizational visibility and business impact.
• Strong strategic thinking and problem-solving skills, with the ability to independently execute strategic assessments, identify gaps, and propose innovative solutions based on deep industry expertise.
• Strong leadership skills with a track record of bridging technical teams and business units to align strategic objectives and operational initiatives.

Suggested Skills{{:}}

• Leadership
• Anti-Abuse Operations
• Inauthentic Account Review

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 $116,000 to 193,000. 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 accommodations@linkedin.com 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.