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 and Safety Cloud AI team is the vanguard of Cloud AI security and safety. Our mission is to safeguard users, protect the integrity of our platforms, and ensure the responsible deployment of AI products at global scale. We operate at the critical intersection of AI research and real-world security, building the foundational defenses that prevent the misuse of generative models and agents. By pioneering proactive threat detection and robust mitigation strategies, we empower Google Cloud to push the boundaries of AI innovation safely, ethically, and securely.

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 $132,000-$189,000 + 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

• Monitor Google Cloud AI products for signs of abuse, including prompt injection, jailbreaking, data poisoning, distillation, and generation of policy-violating content.

• Perform in-depth analysis of risks associated with both generative and agentic AI. Measure these risks using benchmarking, evaluations, red teaming, and scaled usage monitoring.

• Develop, tune, and deploy rules, heuristics, and rate limits to proactively block abusive actors and mitigate automated attacks

• Effectively collaborate with engineering, product, and legal teams to ensure that the risks of AI are understood and robust solutions are adopted.

• Educate cross-functional teams about Gen AI safety risks and advocate for secure design principles. Promote a culture of safety and user trust throughout the product development process.

Minimum qualifications

• Bachelor's degree or equivalent practical experience.

• 2 years of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data.

• Experience with SQL.

Preferred qualifications

• Master's degree in a technical discipline (e.g., Computer Science, Statistics, Mathematics, Operations Research, etc.).

• 5 years of relevant work experience in data analysis.

• Experience in security threats or abuse detection.

• Knowledge or experience in any one of the domains, such as anomaly detection, security threats analysis and investigation, time-series analysis, Cloud APIs, or metrics and reporting.

• Understanding of generative AI technologies, Large Language Models (LLMs) and AI agents.

• Excellent problem-solving and critical thinking skills with attention to detail in an ever-changing environment.