Associate Principal Analyst, Content Adversarial Red Team

Google•Austin, TX

1d•$142,000 - $205,000

About The Position

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. As a Senior Analyst on the Content Adversarial Red Team (CART), you will be a leading expert in identifying and mitigating emerging content safety risks within Google's GenAI products. You will lead the charge in uncovering unknown generative AI issues novel threats and vulnerabilities that are not captured by traditional testing methods. Your understanding of AI safety and your ability to think will be instrumental in shaping the future of AI development, ensuring that Google's AI products are responsible and bold. 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.

Requirements

Bachelor's degree or equivalent practical experience.
7 years of experience in data analytics, Trust and Safety, policy, cybersecurity, or related fields.

Nice To Haves

Master's or PhD in relevant field.
Experience with, machine learning.
Experience in SQL, building dashboards, data collection/transformation, visualization/dashboards, or in a scripting/programming language (e.g., Python).
Excellent communication and presentation skills and the ability to influence cross-functionally at various levels.
Excellent problem-solving and critical thinking skills with attention to detail in an ever-changing environment.

Responsibilities

Develop innovative, targeted strategies to identify, analyze, and anticipate highly AI safety and content risks.
Partner with product, engineering, and research teams to identify vulnerabilities and implement actionable, data-driven security solutions.
Shape and optimize internal CART programs, refining existing safety protocols and establishing industry-wide best practices.
Mentor junior analysts, share expert knowledge in adversarial testing, and advocate AI safety initiatives across the organization.
Be exposed to graphic, controversial, or upsetting content.