Senior Cloud AI Abuse and Security Analyst

Google; Washington (District of Columbia); On-site; USD 159,000 - 230,000; Full time

Benefits offered by this job

Health insurance

Retirement plan

Paid time off

Sick time

Maternity leave

Baby bonding leave

Holidays

Job summary

Google Washington D.C. is seeking a Senior Cloud AI Abuse and Security Analyst to safeguard Cloud AI products at scale. You will investigate abuses, build scalable safety solutions, and collaborate across security, research, and product teams.

Requirements include a Bachelor's degree or equivalent, 5 years of data analysis and project leadership, and proficiency in Python/SQL. Preference for MS/PhD and experience with anomaly detection and AI safety.

Qualifications

• 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.

Responsibilities

• Develop and deploy scalable safety solutions for Cloud AI using advanced machine learning.
• Analyze data to identify infrastructure vulnerabilities and patterns of AI abuse.
• Evaluate generative and agentic AI risks through benchmarking, dataset design, and monitoring.
• Define abuse standards for novel AI use cases to effectively counter hyperscale threats.
• Manage incident response and root cause analyses (RCAs) while partnering with teams to implement long-term security strategies.

Skills

Data analysis

Project management

Python

SQL

C/C++

Java

Go

R

Education

Bachelor's degree or equivalent

MS or PhD in a technical discipline

Job description

Senior Cloud AI Abuse and Security Analyst

Share Senior Cloud AI Abuse and Security Analyst

Google Washington D.C., DC, USA

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

• 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.

Preferred qualifications:

• MS or PhD in a technical discipline like Computer Science, Statistics, Mathematics, or Operations Research.
• Experience in domains such as anomaly detection, security analysis, time-series analysis, or metrics and reporting.
• Proficiency in one or more programming language such as Python, Go, R, Julia, C/C++, Java, or SQL.
• Solid understanding of generative AI, Large Language Models (LLMs), and AI agents, with security threat detection experience.
• Solid problem-solving, critical thinking, and attention to detail in a dynamic environment.

About the job

The Trust and Safety Cloud AI team is the vanguard of Cloud AI security and safety. Our mission is to safeguard users, protect the integrity of our platforms, and ensure the responsible deployment of AI products at global scale. We operate at the critical intersection of AI research and real-world security, building the foundational defenses that prevent the misuse of generative models and agents. By pioneering proactive threat detection and robust mitigation strategies, we empower Google Cloud to push the boundaries of AI innovation safely, ethically, and securely.

You will play a vital role in ensuring that Google Cloud’s AI products are not only powerful but also safe, secure, and trustworthy. Your deep investigative skills, understanding of potential security harms, and passion for user protection will help the teams solve challenging problems in AI security and abuse at scale.

In this capacity, you will proactively identify and mitigate emerging threats within the AI landscape, ranging from adversarial attacks to potential misuse of generative technologies. Your work will involve synthesizing large datasets to uncover patterns of abuse, ensuring that Google's AI deployments remain resilient against sophisticated exploitation while upholding our responsibility for safe AI growth.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

About the job

The Trust and Safety Cloud AI team is the vanguard of Cloud AI security and safety. Our mission is to safeguard users, protect the integrity of our platforms, and ensure the responsible deployment of AI products at global scale. We operate at the critical intersection of AI research and real-world security, building the foundational defenses that prevent the misuse of generative models and agents. By pioneering proactive threat detection and robust mitigation strategies, we empower Google Cloud to push the boundaries of AI innovation safely, ethically, and securely.

You will play a vital role in ensuring that Google Cloud’s AI products are not only powerful but also safe, secure, and trustworthy. Your deep investigative skills, understanding of potential security harms, and passion for user protection will help the teams solve challenging problems in AI security and abuse at scale.

In this capacity, you will proactively identify and mitigate emerging threats within the AI landscape, ranging from adversarial attacks to potential misuse of generative technologies. Your work will involve synthesizing large datasets to uncover patterns of abuse, ensuring that Google's AI deployments remain resilient against sophisticated exploitation while upholding our responsibility for safe AI growth.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $159000 - $230000 (USD) + 15% bonus target + equity + benefits

• Develop and deploy scalable safety solutions for Cloud AI using advanced machine learning.
• Analyze data to identify infrastructure vulnerabilities and patterns of AI abuse.
• Evaluate generative and agentic AI risks through benchmarking, dataset design, and monitoring.
• Define abuse standards for novel AI use cases to effectively counter hyperscale threats.
• Manage incident response and root cause analyses (RCAs) while partnering with teams to implement long-term security strategies.

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.