Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 7 years of experience in a consulting or customer-facing role.
- Experience in conveying technical information to both technical and non-technical audiences.
- Experience with identifying emerging threats and vulnerabilities.
- Master's degree in computer science, information security, artificial intelligence or a related field.
- Experience in AI or technology regulatory readiness or preparedness and understanding AI systems, machine learning, and their potential risks.
- Experience in adversarial testing, red teaming, GenAI/AI safety, GenAI/AI ethics or responsibility, or similar.
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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
- Lead and guide the team's efforts in identifying, analyzing, and mitigating content risks and Artifical Intelligence (AI) regulatory readiness space.
- Develop and execute innovative red team strategies: identify emerging threats and design targeted testing approaches and emerging GenAI/AI regulatory space.
- Collaborate with cross-functional teams, partner with product managers, engineers, researchers, and other stakeholders to understand product functionality, potential 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 issues, providing clear recommendations for decision-making.