Incubation and Experimental Manager, Trust and Safety

Job Description

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 belong, 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.

The YouTube Trust and Safety organization is a fast-paced and dynamic team dedicated to ensuring that YouTube is a safe place for users, viewers, and creators around the world. As an Incubation Manager, you will be heavily involved in leading experimentation design, hypothesis definition, executing/program managing various types of experiments, and coordinating User Acceptance Testing (UAT) for feature launches, platform migrations, or tooling.

As a Trust and Safety Incubation Manager, you will have a mindset for finding solutions that enable scale. In this role, you will help navigate and build lasting frameworks/processes for scale. This role may 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.

Resonsibilities:
• Plan, manage, and execute incubation projects (e.g., design/set up, tool testing, policy incubation, and classifier training efforts).
• Understand customer/user journeys and identify ways to test and prove new products, tools, and feature concepts.
• Lead and coordinate efforts with cross-functional teams to manage schedules/risks (i.e. KPI reporting).
• Recommend data driven decisions to identify and fix enforcement gaps, grey areas, and subjectivity.
• Partner with engineers and interact cross-functionally with teams to improve operational efficiency (e.g., process improvements, automation, and anti-abuse system creation).

Qualifications:

Minimum qualifications:
• Bachelor's in Computer Science, Engineering, or equivalent practical work experience.
• 2 years of experience designing experiments, establishing clear hypotheses, and leading various experiment methodologies.

Preferred qualifications:
• Certification in Six Sigma (i.e. Black Belt), Project Management Professional (PMP) certification, and/or Advanced Certified Outsourcing Professional (IAOP) Certification.
• 3 years of experience designing experiments and using statistical software (e.g., R, Python, MATLAB, Pandas, etc.).
• 3 years of experience with data visualization and organizing data to provide insights/business recommendations.
• 3 years of experience with ML classification systems, ranking systems or similar.
• Excellent program management, communication, and presentation skills.

Jobcode: Reference SBJ-d98zkk-18-118-1-158-42 in your application.