Trust and Safety AI Ecosystems Analyst

At Google, we work hard to earn our users’ trust every day. As a part of the Compute Responsible AI Trusted Experience team within Trust and Safety is chartered with establishing and maintaining effective user-safety measures, enabling a thriving agentic AI ecosystem, and ensuring responsible AI applications across Google’s Platforms and Devices product group. It is a global team with responsible AI domain expertise, and various backgrounds in operations, strategy, ethics, risk management, product management, and program management.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $116000 - $166000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

• Collaborate closely with product, engineering, policy, and Responsible AI experts to scope GenAI and Agentic AI testing requirements in support of Google’s Platforms and Devices products.
• Design and enhance operational workflows via process improvements and automation opportunities.
• Partner cross-functionally to define and build runtime monitoring capabilities that identify "agentic drift," recursive loops, or adversarial attempts to hijack agent reasoning.
• Analyze model and safety filter outputs to identify user safety trends, recommend risk mitigations, and handle leadership escalations. Apply technical and user-safety judgment to triage user trust risks and enhance overall product trust.
• Work with sensitive content or situations and may be exposed to graphic, controversial or upsetting topics or content.

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 4 years of experience in program or project management, specifically in managing and defining project scope, identifying and tracking risks.
• 2 years of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data.

Preferred qualifications:

• 5 years of data analysis experience with databases and querying languages (e.g., SQL, MySQL, MapReduce).
• Experience working on Large Language Models (LLMs) or experience analyzing ML or LLM model performance.
• Proven experience analyzing product policy and identifying policy risks.
• Demonstrated success in risk management across project and organizational levels.
• Collaborative and creative leader experienced in presenting to executive leadership and cross-functional, global teams.
• Strong problem-solving, critical thinking, and communication skills to bridge technical and non-technical teams.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Kirkland, WA, USA; Atlanta, GA, USA; Austin, TX, USA.

In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include: