Content Adversarial Red Team Analyst

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.

Responsibilities

• Develop and execute innovative red teaming strategies. Proactively identify emerging threats and design highly targeted testing approaches.
• 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 junior analysts, sharing knowledge and expertise to build a high-performing team.
• Identify key areas for improvement and develop comprehensive program plans.Evaluate and optimize existing programs, identifying areas for improvement and enhancing their impact.
• Advocate for the importance of AI safety within Google and the wider industry and knowledge of AI landscape and tools.

Qualifications

Minimum qualifications:

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

Preferred qualifications:

• Master's degree in Computer Science, Information Security, Artificial Intelligence, or a related field.
• Experience working with Google's products and services, particularly GenAI products.
• Experience working with large datasets and data analysis tools.
• Familiarity with different AI model architectures and their vulnerabilities.
• Proficiency in multiple languages, especially those relevant to Google's global user base.
• Excellent problem-solving and critical thinking skills with attention to detail in an ever-changing environment.