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Trust and Safety AI Ecosystems Analyst

Job in Atlanta, Fulton County, Georgia, 30383, USA
Listing for: Google LLC
Full Time position
Listed on 2026-10-03
Job specializations:
  • IT/Tech
    AI Business & Operations
  • Business
    AI Business & Operations
Salary/Wage Range or Industry Benchmark: 116000 - 166000 USD Yearly USD 116000.00 166000.00 YEAR
Job Description & How to Apply Below

Share Trust and Safety AI Ecosystems Analyst

Google place Kirkland, WA, USA ;
Atlanta, GA, USA ; +1 more

X 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:

  • Health, dental, vision, life, disability insurance
  • Retirement Benefits: 401(k) with company match
  • Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
  • Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
  • Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
  • Baby Bonding Leave: 18 weeks
  • Holidays: 13 paid days per year
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

.
  • 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, Map Reduce).
  • 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.

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.
As an Analyst on the Compute Responsible AI Trusted Experience team, you will partner closely with our Platforms and Devices product partners, as well as other teams across Google, to gather requirements, assess user risks, and plan and implement mitigation strategies to ensure a thriving, safe GenAI and Agentic AI ecosystem. In addition, you will collaborate cross-functionally to design, implement, and optimize safety workflows that secure users’ trust across a dimension of Google products and their integrations with external services like Model Context Protocol (MCP) connectors.

This responsibility encompasses the design and implementation of effective run-time monitoring and analysis to ensure ongoing safety and address emerging…

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