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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 hybrid at LinkedIn's Mountain View, CA campus.

We are seeking a Senior Manager to be a part of our Trust Investigations team, a group of experts focused on identifying, investigating, and disrupting the most sophisticated and adversarial abuse targeting LinkedIn and its members, managing a hybrid team of technical investigators distributed across the Bay Area and remote locations throughout the United States.

In this role, you will be responsible for setting the strategic direction and overseeing the day-to-day operations of an investigations team embedded within cross-functional initiatives spanning Engineering, Data Science, and Product. The team operates with urgency and agility, responding to abuse incidents while proactively uncovering, analyzing, and mitigating emerging threats, including scams, abusive automation, and other high-priority trust and safety risks.

The ideal candidate has experience leading security, threat intelligence, fraud, or investigations teams and translating investigative insights into scalable solutions, including detection systems, enforcement rules, and ML/AI-driven capabilities. As the team continues to leverage AI for detection, analysis, and intelligence automation, this leader will play a key role in advancing and scaling those efforts while driving impact across LinkedIn’s broader Trust organization.

Responsibilities:

Manage a team of technical threat investigators focused on adversarial threats via incident response, proactive threat hunting, and root cause analyses of complex abuse.
Define and own program objectives, success and impact metrics for investigations focused on adversarial abuse that drive outcomes aligned with LinkedIn Trust’s priorities.
Directly ensure quality, throughput, precision and innovation in investigative and incident response work to drive enforcement accuracy and actionable vulnerability identification.
Partner with senior ICs and leaders in Trust Engineering, Data, Product and Policy roles to ensure shared investigation and incident management priorities that align case outcomes to Trust’s R&D strategy
Maintain and develop investigative tradecraft that is AI-first and addresses the evolving nature of adversarial abuse, with partners and independently.
Manage executive and partner communications on the outcomes of casework, incidents and root cause analyses to influence fast decision making in high consequence abuse situations.
Mentor individual contributors on technical, operational and organizational aspects of the job, enabling the team to invest in themselves and their technical capabilities
Lead the team in trend analysis, promoting thorough research and data-driven decision-making for effective fraud and abuse mitigation

Qualifications

Basic Qualifications:

Bachelor’s Degree in cyber security, criminal justice or other related technical disciplines, or equivalent technical experience
3+ years managing teams focused in a security operations, threat intel, or trust and safety investigations
7+ years working on related subject matter including fraud and scams, account and content abuse, or targeted threat activity.
Experience with all-source investigation techniques, working with diverse structured and unstructured data sets in a security or Trust setting.

Preferred Qualifications

Master’s Degree in cyber security, criminal justice or related technical disciplines
9+ years experience in one or more of the following areas OR combination thereof:
- Content moderation and policy enforcement
- Counter-fraud or financial crime enforcement
Strong technical acumen and the ability to translate data and investigative outcomes into actionable insights for Engineering and AI partners as well as senior leadership.
Excellent communication skills, with the ability to inspire and influence across all levels of the organization.
Proven experience developing and maintaining senior individual contributors, with a strong track record of building high performing teams.
Proactive threat and fraud hunting against large scale threats
Experience leading global teams spanning multiple locations/time zones
Demonstrated ability to navigate complex cross-functional dependencies and drive collaboration across diverse teams.
Experience working with SQL, Python or similar scripting languages
Experience working or managing projects that have enterprise-wide impact and/or multi-organization cross functional stakeholders.

Suggested Skills:

Organizational Design Experience
Security Operations Management
Threat Intelligence

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 $155,000 - $257,000. 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 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.

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