Senior Trust Technical Investigator

Linked In 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 Linked In, 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 Linked In office on select days, as determined by the business needs of the team.

This role will be hybrid in Linked In's Mountain View campus.

Trust Investigations is seeking a Senior Technical Investigator to support our work managing fraud and scams. In this role, you'll develop and apply approaches to detect, understand and mitigate coordinated, persistent, and high-harm activity from highly adversarial actors, helping ensure a safe and trustworthy experience for Linked In members.

Our teams work in close partnership with product, engineering, and data science partners dedicated to advancing our visibility, controls and measurement. In this role you will run investigations and contribute to building our technology as we operate an AI-first trust environment: you'll lead complex investigation and incidents, using case insights to develop and maintain our detection rules, pipelines, and runbooks that help Linked In stop scam activity  investigations drive product vuln assessments and risk recommendations, so you’ll work with our intelligence and product-risk teams to ensure findings inform how the company builds and protects its products going forward.

• Lead root-cause investigations into complex, coordinated, or high-impact scam campaigns and abuse networks, from initial leads through resolution.
• Serve as incident commander for major scam-related incidents, coordinating response and ensuring timely, accurate resolution.
• Generate proactive investigative leads and track emerging coordinated threat activity relevant to scams and fraud.

• Author detection rules and data pipelines tuned specifically to scam patterns and typologies.
• Innovate on investigative tradecraft, staying current on tools, techniques, and adversary tactics used across the fraud and scams landscape broadly.
• Partner with Engineering and Data Science to build and refine how we do analysis, threat-hunting and mitigations for scams.
• Develop technical playbooks that help the broader team scale its investigative work.

• Partner with intelligence and product-risk teams to ensure investigative findings and intel inform product planning and risk posture.
• Collaborate with Product, Engineering, Data Science, Legal, and Policy partners to align investigative priorities with product roadmaps and the broader trust and safety strategy.
• Represent the technical substance of your team's work in cross-functional forums and externally to peers in the sector.

• Mentor other investigators on technical, investigative, and tooling capabilities, fostering a culture of rigor and continuous learning.

• BS/BA in cyber security, criminal justice, computer science, or a related technical discipline, or equivalent technical experience.
• 5+ years of experience with scripting or data analysis tools (SQL, Python, or similar), with the ability to synthesize complex data into actionable insights.
• 5+ years of experience in proactive threat investigations of account, content, or behavioral abuse in trust & safety, social media, online platforms, or fintech — including meaningful direct experience with fraud or scams.
• 3+ years of experience with investigation techniques/tools and evidence handling, including working across diverse structured and unstructured data sets.

• Master's Degree in cyber security, criminal justice, computer science, or a related technical discipline.
• Direct experience building or maintaining detection rules, alerting logic, or data pipelines (not just consuming them).
• Strong technical acumen and the ability to translate data and investigative outcomes into actionable insights for engineering, AI, and senior leadership partners.
• Experience leading proactive threat or fraud hunting against large-scale, coordinated abuse.
• Experience with frameworks such as MITRE ATT&CK or the cyber kill chain, and the ability to adapt them to social-platform scam typologies.
• Demonstrated ability to navigate cross-functional dependencies and drive collaboration across…