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 Analyst Manager in YouTube Trust and Safety, you will manage a team of analysts, who work alongside the engineering and operations teams to identify and remove abusive content like videos, livestreams and abusive users as quickly as possible. You will Identify and utilize content, account and behavioral signals and features to develop practical solutions using heuristics, clustering, classification and large learning models. Your team would also leverage advanced analytics to drive insights on the effectiveness of our abuse detection methods, and develop strategies to reduce uncaught badness across all the verticals. You will leverage leadership skills, management experience and technical expertise to lead the team to continuously improve user experience on YouTube. You will lead a team of analysts to become technically strong, strategically minded, great at communication, and care for the YouTube team and YouTube users. You will work with the operational leaders and policy area leaders, you will deliver insights on Trust and Safety operations to inform operational efficiency, new product strategies and new policy development. You will be exposed to graphic, controversial, and sometimes offensive video content during team escalations in line with YouTube’s Community Guidelines.At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we listen, share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun — and we do it all together.
Responsibilities
- Manage a team of YouTube Detection Analysts focused on reducing uncaught badness on YouTube.
- Set strategy and goal and lead the Analyst team to cover a wide variety of spam and abuse vectors across YouTube (YT) community engagements. Optimize the effectiveness of our operations; develop and monitor core badness metrics, deep dive and recommend solutions.
- Drive and utilize data insights for YouTube Trust and Safety globally to ensure fast identification and removal of single or scaled occurrence of inappropriate content and abusive actors to keep YouTube safe for our users.
- Communicate clearly to cross-functional partners executive leadership, engineers, operations specialists about state of abuse, drive agreement on prioritization and trade-offs.
- Partner closely with the Leadership, Policy, Enforcement, Data Science and Engineering teams to understand the ever-changing policy enforcement landscape and implement best suited solutions
Qualifications
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 5 years of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data.
- 5 years of experience managing projects and defining project scope, goals, and deliverables.
Preferred qualifications:
- Master's degree in a quantitative discipline.
- 5 years of experience or familiarity with one or more of the following languages: SQL, R, Python, or C++.
- 5 years of experience or familiarity with machine learning systems.
- 5 years of experience collecting, managing and synthesizing large datasets and information from disparate sources, statistical modeling, data mining and data analysis.
- Demonstrate high-level product and policy knowledge, the ability to both understand and design training roadmaps and an ability to communicate and persuade between multiple levels.
- Consultative problem solving and excellent project management.