Cloud AI Protection Manager

Google LLC; Seattle (WA); On-site; USD 188,000 - 274,000; Full time

Benefits offered by this job

Health, dental, vision, life, and 401k

Paid time off and sick time

Maternity leave and parental benefits

13 paid holidays

Job summary

Google LLC is seeking an Engineering Analyst Manager for Cloud AI Security and Abuse to lead a high-performing team protecting Google Cloud AI products and developer platforms against sophisticated adversaries. You will combine data science, security engineering, and threat intelligence to build defenses and safeguard global AI deployments.

You will partner with Engineering, Research, Product, and Policy to ensure resilient architectures, while balancing protection with a frictionless customer

Qualifications

• 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.

Responsibilities

• Mentor and grow a high-performing team of Engineering Analysts to foster a culture of technical excellence and innovation.
• Define the strategic vision, OKRs, and roadmaps for Cloud AI security, balancing incident response with foundational defenses.
• Drive the design and deployment of scaled detection systems using ML, LLMs, and heuristic frameworks to mitigate threats.
• Advance proactive threat intelligence, adversarial benchmarking, and automated red-teaming to identify novel attack vectors in agentic AI.
• Partner cross-functionally to translate security insights into hardened architectures and rigorous measurement frameworks.

Skills

Data analysis

Project management

Machine learning

Threat intelligence

Security engineering

Education

Bachelor's degree or equivalent practical experience

Master’s degree or PhD in Computer Science, AI, Machine Learning, or related field

Tools

Vertex AI

AI Studio

Google Cloud Platform

Job description

corporate_fare Google place Seattle, WA, USA

Info_outline 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

Required qualifications:

• 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.

Preferred qualifications:

• 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 designing machine learning classifiers, neural networks, and automated red-teaming/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 like jailbreaking and data exfiltration.

About the job

As a part of the Trust and Safety Cloud AI team, the vanguard of Cloud AI security and safety, your mission is to safeguard users, protect the integrity of our platforms, and ensure the responsible deployment of AI products at global scale. You will operate at the critical intersection of cutting-edge AI research and real-world security, building the foundational defenses that prevent the misuse of generative models and agents. You will pioneer proactive threat detection and robust mitigation strategies, empower Google Cloud to push the boundaries of AI innovation safely, ethically, and securely. As a part of the Engineering Analyst Manager for Cloud AI Security and Abuse, you will lead a high-performing team protecting Google Cloud’s cutting-edge AI products and developer platforms (including Vertex AI, Gemini Enterprise, AI Studio, and Cloud APIs) against sophisticated adversarial actors and emerging frontier risks. You will sit at the intersection of data science, security engineering, and threat intelligence, your team uncovers complex abuse patterns across billions of events, architects automated detection and enforcement pipelines, and builds next-generation guardrails for generative and agentic AI systems. You will combine people leadership with deep technical and analytical acumen, mentoring Engineering Analysts, guiding the development of AI-driven defenses, and partnering closely with leaders across Cloud, DeepMind, Security, Product, and Policy. Your leadership will ensure that Google’s enterprise and developer AI deployments remain resilient against exploitation while balancing rigorous protection with a friction-less customer experience. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $188000 - $274000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google .

• Mentor and grow a high-performing team of Engineering Analysts to foster a culture of technical excellence and innovation.
• Define the strategic vision, Objectives and Key Results (OKRs), and roadmaps for Cloud AI security, balancing urgent incident response with foundational, long-term defenses.
• Drive the design and deployment of scaled detection systems, including ML, Large Language Model (LLMs), and heuristic frameworks to mitigate threats like prompt injection and abuse.
• Advance proactive threat intelligence, adversarial benchmarking, and automated red-teaming to identify novel attack vectors in agentic AI.
• Partner cross-functionally across Engineering, Research, and Legal to translate security insights into hardened architectures, while establishing rigorous measurement frameworks to ensure operational precision for enterprise AI requests.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.