Cloud AI Protection Manager
Seattle, WA, USA · Manager · Full-time · Posted Oct 28, 2026
- Experience
- 7 years in data analysis and 7 years managing projects; preferred: 10 years in Trust and Safety, cybersecurity, or fraud detection, including 3 years managing technical teams.
- Education
- Bachelor's degree or equivalent practical experience.
About the job
Leads a team protecting Google Cloud AI products and platforms by developing threat detection, abuse mitigation, and defenses for generative and agentic AI.
What you'll do
- Mentor and grow Engineering Analysts; set Cloud AI security strategy, OKRs, and roadmaps.
- Design and deploy scaled ML, LLM, and heuristic detection and mitigation systems.
- Advance threat intelligence, adversarial benchmarking, and automated red-teaming; partner across functions to strengthen AI security.
What they ask for
- Bachelor's degree or equivalent practical experience.
- 7 years of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data.
- 7 years of experience managing projects and defining project scope, goals, and deliverables.
Nice to have
- Master’s degree or PhD in Computer Science, AI, Machine Learning, or related technical field.
- 10 years of experience in Trust and Safety, cybersecurity, or fraud detection, including 3 years managing technical teams; experience with AI security, classifiers, red-teaming, and cross-functional defenses.
Pay
$188000 - $274000 USD base salary; 20% bonus target (no amount stated)
Tools
Vertex AI, Gemini Enterprise, AI Studio, Cloud APIs, ML, Large Language Model (LLMs)
AI focus
Develop AI-driven defenses and guardrails for generative and agentic AI, including detection and mitigation of prompt injection and abuse, adversarial benchmarking, and automated red-teaming.
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