Cloud AI Protection Manager

Google•Seattle, WA

3d•$188,000 - $274,000

About The Position

As part of the Trust and Safety Cloud AI team, this role safeguards users, protects platform integrity, and supports the responsible global deployment of AI products. It works at the intersection of AI research and real-world security to build defenses against misuse of generative models and agents, develop proactive threat detection, and create mitigation strategies. The role leads a team protecting Google Cloud AI products and developer platforms, including Vertex AI, Gemini Enterprise, AI Studio, and Cloud APIs, from sophisticated adversarial actors and emerging risks. The team analyzes abuse patterns across large volumes of events, builds automated detection and enforcement pipelines, and develops guardrails for generative and agentic AI systems. The manager combines people leadership with technical and analytical expertise, mentoring Engineering Analysts and guiding AI-driven defenses. The role partners with leaders across Cloud, DeepMind, Security, Product, and Policy to help keep enterprise and developer AI deployments resilient while balancing protection with customer experience.

Requirements

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 Haves

Master’s degree or PhD in Computer Science, AI, Machine Learning, or a related technical field.
10 years of experience in Trust and Safety, cybersecurity, or fraud detection, including 3 years managing technical teams.
Experience designing machine learning classifiers, neural networks, and automated red-teaming or vulnerability pipelines.
Experience influencing senior cross-functional stakeholders across Engineering, Product, Research, and Legal to implement large-scale defense-in-depth protections.
Expertise in Generative AI, LLMs, and autonomous agent threat landscapes, including adversarial risks such as jailbreaking and data exfiltration.

Responsibilities

Mentor and grow a high-performing team of Engineering Analysts, fostering technical excellence and innovation.
Define the strategic vision, Objectives and Key Results (OKRs), and roadmaps for Cloud AI security, balancing incident response with long-term defenses.
Drive the design and deployment of scaled detection systems using machine learning, large language models, and heuristic frameworks to mitigate threats such as prompt injection and abuse.
Advance proactive threat intelligence, adversarial benchmarking, and automated red-teaming to identify novel attack vectors in agentic AI.
Partner across Engineering, Research, and Legal to translate security insights into hardened architectures and establish measurement frameworks for operational precision in enterprise AI requests.