Trust and Safety AI Ecosystems Analyst

Written by the T&S Network from Google's posting.

Works on user safety and trust risks for generative and agentic AI across Google's Platforms and Devices products, including integrations with external services such as MCP connectors. Sits in the Compute Responsible AI Trusted Experience team within Trust and Safety, which aims to keep these AI ecosystems safe and responsible.

What you'd do

• Assess user risks and plan and implement mitigation strategies for Platforms and Devices products.
• Build runtime monitoring that flags agentic drift, recursive loops, or attempts to hijack agent reasoning.
• Analyze model and safety filter outputs to find user safety trends and recommend risk mitigations.
• Triage user trust risks and handle leadership escalations.
• Improve operational safety workflows through process changes and automation.

What it asks for

• A bachelor's degree or equivalent hands-on experience.
• 4 years of program or project management experience, including defining scope and tracking risks.
• 2 years of analyzing data to spot trends and pull insights from numbers and qualitative material.
• 5 years of data analysis with databases and query languages such as SQL, MySQL, or MapReduce (preferred).
• Experience working on LLMs or analyzing ML or LLM model performance (preferred).
• Experience reviewing product policy and spotting policy risks (preferred).
• Experience presenting to executive and cross-functional global teams (preferred).

Our best summary of the posting, and it can be wrong. The employer's posting is what counts: read it in full on Googlenorth_east before you apply. If we got something wrong, report this listing.