About the job

Fast-paced, dynamic, and proactive, YouTube’s Trust & Safety team is dedicated to making YouTube a safe place for users, viewers, and content creators around the world to create, and express themselves. Whether understanding and solving their online content concerns, navigating within global legal frameworks, or writing and enforcing worldwide policy, the Trust & Safety team is on the frontlines of enhancing the YouTube experience, building internet safety, and protecting free speech in our ever-evolving digital world.

As a Threat Investigations Manager, you are responsible for formulating strategies and implementing innovative solutions to drive anti-abuse analytics and detection at scale within YouTube. This includes leading a capable team of analysts as well as driving scaled abuse investigation and enforcement operations. You leverage investigative experience and creativity to understand and analyze sophisticated abuse activity and are motivated to protect the integrity of the YouTube platform and user base. You have a passion for extracting insights from information, expertise in analytic writing and communicating nuanced findings to varied audiences. You thrive in a fast, dynamic, demanding environment where the threat actor landscape is constantly evolving.

You will be a key contributor to the efforts to reduce badness on YouTube. You will be part of a team responsible for overseeing emerging threats to the YouTube platform and user base. Such threats include financial or influence-motivated abuse actors leveraging novel TTPs. The role entails leading the development of policies, designing and implementing detection and automation, and running scaled workflows.

Responsibilities

• Manage a team of analysts running high velocity workflows ensuring tight deadlines are consistently met.
• Lead the team to create and deploy automated solutions for bulk classification of abusive content and behavior using a variety of tools, features and functions. Ranging from automating SQL-like queries to real time Python based classification logic.
• Manage a large-scale enforcement operation covering multiple abuse domains.
• Apply statistical methods to large data sets to understand the impact of abuse to the YouTube ecosystem. Contribute to strategy and development of new workflows against additional known and emerging vectors of abuse.
• Collaborate closely with stakeholders and partners in engineering, product, policy and legal to drive complex anti-abuse solutions involving and impacting various cross-functional areas.