Minimum qualifications:
Bachelor's degree or equivalent practical experience.
7 years of experience in adversarial testing, red teaming, GenAI/AI safety, GenAI/AI ethics or responsibility, or similar fields.
Preferred qualifications:
Master's degree in Computer Science, Information Security, Artificial Intelligence, or a related field.
Understanding of content moderation policies and best practices.
Proficiency in multiple languages, especially those relevant to Google's global user base.
Ability to think strategically and identify emerging threats and vulnerabilities.
Excellent leadership skills and ability to influence and inspire others.
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.
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 diverse 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.
Responsibilities
Identify and mitigate high-complexity content risks through innovative red teaming strategies.
Partner with diverse teams (product, engineering, research) to understand vulnerabilities and develop actionable solutions.
Guide and support the development of analysts, sharing knowledge and expertise to build a high-performing team.
Conduct analysis of complex issues, providing clear recommendations for decision-making.
Lead development and implementation of AI safety programs, advocating for best practices and AI safety initiatives.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
