- Kirkland, WA
- Full-Time
- <48 Hours
Trust and Safety AI Ecosystems Analyst.
Before you go
Before you leave us, sign up for our email alerts
We don't do job spam, just the best digital jobs delivered straight to your inbox.
Trust and Safety AI Ecosystems Analyst: our view in 3 lines...
- The Role:This role focuses on trust and safety analysis for Google’s GenAI and agentic AI ecosystem within the Platforms and Devices group.
- The Person:The person will scope GenAI testing requirements, improve operational workflows, build runtime monitoring, analyse model and safety filter outputs, and triage user trust risks.
- Requirements:The role calls for a bachelor’s degree or equivalent practical experience, 4 years of program or project management, 2 years of data analysis, and preferred experience with SQL, MySQL, MapReduce, LLMs, and risk management.
About the role
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.
About the job:
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.
