Protection Analyst, Enterprise AI Full-time

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
• 2 years of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data.
• 2 years of experience managing projects and defining project scope, goals, and deliverables.
• Experience working with SQL, colaboratory, or Python.
• Experience in data analysis and working with datasets or large language model (LLMs).

Preferred qualifications:

• Master’s degree in a quantitative discipline.
• 5 years of experience in large-scale data analysis.
• 2 years of experience or familiarity with machine learning systems.
• Knowledge or experience in a relevant domain (e.g., anomaly detection, security threats analysis and investigation, abuse detection, time-series analysis, metrics and reporting) and strong understanding of AI principles, algorithms, and techniques.
• Proficient in one or more programming languages (e.g., Go, Python, R, Julia, C/C , Java, SQL).
• Excellent communication skills.

About the job

Trust & Safety team members are tasked with identifying and taking on the biggest problems that challenge the safety and integrity of our products. They use technical know-how, excellent problem-solving skills, user insights, and proactive communication to protect users and our partners from abuse across Google products like Search, Maps, Gmail, and Google Ads. On this team, you’re a big-picture thinker and strategic team-player with a passion for doing what’s right. You work globally and cross-functionally with Google engineers and product managers to identify and fight abuse and fraud cases at Google speed – with urgency. And you take pride in knowing that every day you are working hard to promote trust in Google and ensuring the highest levels of user safety.

As a Protection Analyst for Enterprise AI, you will play a vital role in ensuring that our AI products are not only powerful but also safe, trustworthy, and aligned with our AI principles.

The Enterprise AI Protection team enables the rapid growth of Google Cloud and Workspace AI businesses by curbing associated safety risks. As a technical analyst working on safety analysis and evaluation of GenAI models and filters, you will play a crucial role in ensuring the reliability, robustness, and security of Cloud and Workspace AI systems. In this team, you will be working at the forefront of analyzing Google’s AI products’ safety issues, collaborating globally and cross-functionally with AI development teams, and being the first to get access to the latest AI innovations. You will be part of advancements shaping the future of AI technology.

At Google we work hard to earn our users’ trust every day. Trust & Safety is Google’s team of abuse fighting and user trust experts working daily to make the internet a safer place. We partner with teams across Google to deliver bold solutions in abuse areas such as malware, spam and account hijacking. A diverse team of Analysts, Policy Specialists, Engineers, and Program Managers, we work to reduce risk and fight abuse across all of Google’s products, protecting our users, advertisers, and publishers across the globe in over 40 languages.

The US base salary range for this full-time position is $117,000-$172,000 bonus equity benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. 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 .

Responsibilities

• Identify and prevent fraud and abuse.
• Improve tools and automated systems through data analysis, technical expertise, and present to stakeholders.
• Identify and investigate possible failure modes for GenAI products on a broad range from sociotechnical harms to misuse. Develop methodologies and techniques to scale and accelerate safety evaluations and responsible AI red teaming.
• Perform in-depth analysis of risks, and measure and mitigate AI-related risks using benchmarking, evaluations, dataset design, and usage monitoring. Prepare analysis reports and present findings and solutions to stakeholders.
• Collaborate with other Google teams to ensure that the issues are understood and solutions are adopted. Educate cross-functional teams about GenAI safety risks and advocate for responsible design principles. Promote a culture of safety and user trust throughout the product development process.