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.

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.