Senior Engineering Analyst Trust and Safety Cloud

About the Senior Engineering Analyst Trust and Safety Cloud Role at Google

Trust and Safety team members at Google are essential for identifying and addressing the most significant challenges impacting the safety and integrity of our products. This team uses technical expertise, strong problem-solving skills, user insights, and proactive communication to safeguard users and partners from abuse across various Google products, including Search, Maps, Gmail, and Google Ads. This role requires a big-picture thinker and strategic team player with a strong commitment to doing what is right, working globally and cross-functionally with Google engineers and product managers to rapidly identify and combat abuse and fraud cases. You will contribute to promoting trust in Google and ensuring the highest levels of user safety daily.

As a Senior Engineering Analyst Trust and Safety Cloud, you will play a vital role in ensuring that Google Cloud’s Artificial Intelligence (AI) products are not only powerful but also safe, secure, and trustworthy. Your investigative skills and understanding of potential security harms will be crucial for user protection, helping teams solve complex testing problems in AI security and abuse at scale. You will proactively identify and mitigate emerging threats within the AI landscape, from adversarial attacks to potential misuse of generative technologies. This role involves synthesizing large datasets to uncover patterns of abuse, thereby ensuring that Google's AI deployments remain resilient against sophisticated exploitation while upholding our responsibility for safe AI growth.

Google is dedicated to earning user trust every day. Our Trust and Safety team comprises abuse-fighting and user trust experts working to make the internet a safer place. We collaborate with teams across Google to deliver robust solutions for abuse areas such as malware, spam, and account hijacking. Our team of Analysts, Policy Specialists, Engineers, and Program Managers strives to reduce risk and combat abuse across all Google’s products, protecting users, advertisers, and publishers globally in over 40 languages.

Responsibilities

• Develop and deploy scalable safety solutions for Cloud AI products by leveraging advanced machine learning and AI techniques.
• Use large-scale data analysis to discover and interpret how attackers exploit Cloud AI infrastructure or use Application Programming Interfaces (APIs) for abuse, identifying weak points in our systems.
• Define what constitutes abuse in ambiguous or highly novel AI use cases, ensuring our guidelines adapt to AI-driven attacks.
• Analyze and measure generative/agentic AI risks using benchmarking, dataset design, and scaled usage monitoring.
• Drive the rapid response for high-priority AI security incidents, conducting thorough Root Cause Analyses (RCAs) to implement sustainable long-term solutions.
• Partner with Engineering and Product teams to identify, prioritize, and develop strong strategies against the most pressing and novel AI threats.

Minimum Qualifications

• Bachelor's degree or equivalent practical experience.
• 5 years of experience in data analysis or data science, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data.
• Experience with SQL.

Preferred Qualifications

• Ph.D. or Master of Science (M.S.) in a technical discipline (e.g., Computer Science, Statistics, Mathematics, Operations Research, etc.).
• Experience in security threat or abuse detection.
• Experience in one domain, such as anomaly detection, security threats analysis and investigation, time-series analysis, Cloud Application Programming Interfaces (APIs), or metrics and reporting.
• Understanding of generative AI technologies, Large Language Models (LLMs) and AI agents.
• Excellent problem-solving and critical thinking skills with attention to detail in an ever-changing environment.

Comprehensive Benefits Package (US-based employees)

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 (statutory, where applicable); 5 days/event (discretionary)
• Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
• Baby Bonding Leave: 18 weeks
• Holidays: 13 paid days per year

Compensation Details

The US base salary range for this full-time position is $147,000-$216,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Key skills/competency

• Data Analysis
• SQL
• Machine Learning
• AI Security
• Abuse Detection
• Threat Mitigation
• Root Cause Analysis
• Cloud AI
• Generative AI
• Large Language Models (LLMs)