Senior Engineering Analyst, Third Party Data Safety
Kirkland, WA, USA +2 · Senior · Full-time · Posted Oct 22, 2026
- Location
- Kirkland, WA, USA
Seattle, WA, USA
Austin, TX, USA - Experience
- 5 years in data analysis and 5 years managing projects.
- Education
- Bachelor's degree or equivalent practical experience.
About the job
Build AI-first monitoring and compliance systems to detect abuse and protect Google’s OAuth ecosystem and third-party user data.
What you'll do
- Build proactive abuse-monitoring and post-publication compliance pipelines.
- Develop Agentic AI tools to detect threats such as prompt injections, unauthorized model training, and API exploitation.
- Analyze app behavior and data, and collaborate across teams to translate policy into technical enforcement.
What they ask for
- Bachelor's degree or equivalent practical experience.
- 5 years of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data.
- 5 years of experience managing projects and defining project scope, goals, and deliverables.
Nice to have
- Experience with scalable data pipelines, backend monitoring, AI/ML or LLM workflows, Trust and Safety, cybersecurity, or platform compliance.
- Proficiency in SQL, Python, or similar languages; experience with policy enforcement and cross-functional safety initiatives.
Pay
$159000 - $230000 (USD) base salary; 15% bonus target (additional pay; amount not specified)
Tools
Google's internal AI frameworks, SQL, Python, LLMs
AI focus
Build Agentic AI solutions to detect emerging threats, automate workflows, improve red-team LLM inputs, and validate human-in-the-loop systems.
Model-written summary · the original posting is authoritative