Creator Experience Senior Policy Analyst, YouTube

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
  
• 5 years of experience in a policy, legal, Trust & Safety, or technology environment.
  
• 2 years working with Generative AI Agents.
  

Preferred qualifications:

• 2 years of experience in a policy-related role, focused on online content moderation or ancillary policy enforcement frameworks.
• Experience in policy guideline scripting, incubation and advanced testing.
• Experience with the development, implementation, and maintenance of policy.
  
• Advanced technical policy implementation skills.
• Excellent problem-solving and critical thinking skills with attention to detail in an ever-changing environment.

About the job:

Trust & Safety team members are tasked with identifying and taking on the biggest problems that challenge the safety and integrity of our products. They use technical know-how, excellent problem-solving skills, user insights, and proactive communication to protect users and our partners from abuse across Google products like Search, Maps, Gmail, and Google Ads. On this team, you're a big-picture thinker and strategic team-player with a passion for doing what’s right. You work globally and cross-functionally with Google engineers and product managers to identify and fight abuse and fraud cases at Google speed - with urgency. And you take pride in knowing that every day you are working hard to promote trust in Google and ensuring the highest levels of user safety.

The Trust & Safety's Creator Experience team works to help creators make it on YouTube by providing a consistent and clear policy experience, protecting ad revenue, enforcing guidelines on brand unsafe content and aligning with industry standards. We work to improve the practical elements of creator experiences such as making video appeals easier, explanations for demonetization more detailed, turnaround times faster, and ensuring policy launches are more seamless - and above all easier to access and understand. This team focuses on making the experience of being a creator better, through ensuring that business generation policy is something that's easily understood, that is open to change and that reflects the ever-changing world of the creator ecosystem. We work to make the advertiser-friendly content guidelines a set of rules that creators can live with, as well as live by.

At Google we work hard to earn our users’ trust every day. Trust & Safety is Google’s team of abuse fighting and user trust experts working daily to make the internet a safer place. We partner with teams across Google to deliver bold solutions in abuse areas such as malware, spam and account hijacking. A team of Analysts, Policy Specialists, Engineers, and Program Managers, we work to reduce risk and fight abuse across all of Google’s products, protecting our users, advertisers, and publishers across the globe in over 40 languages.

The US base salary range for this full-time position is $136,000-$197,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities:

• Implement policy principles into actionable enforcement guidelines for our video rater pool.
  
• Review controversial and sometimes offensive video content to determine whether or not they’re brand safe.
  
• Handle escalations with a fast turn-around time to define and deliver the best action plan.
  
• Research and stay up to date on key trends and suspicious patterns in your policy area.
  
• Increase efficiency through automation, workflow streamlining, and system optimization.