Join our Trust and Safety Monetization team, dedicated to building a secure ad ecosystem for publishers, advertisers, and users. We safeguard Google's ad products from fraud and abuse by analyzing millions of publishers and billions of events.

Our mission is to create scalable methods to prevent harm from bad actors and sophisticated fraudsters. We prioritize the user's perspective and leverage our technical, sales, and customer service expertise to ensure a safe and beneficial internet monetization experience.

Analyze and investigate data from various sources to identify and combat novel fraud and abuse within Google's ad products.

Collaborate with Engineering teams to enhance ad traffic infrastructure, defense systems, and operational workflows. Drive efficiency through advanced machine learning, scaled defenses, and automation.

Lead full-cycle projects involving Product, Engineering, and Trust and Safety teams to prevent abuse by refining policies and addressing product vulnerabilities.

Work effectively with a global team to deliver projects from inception to completion in a timely manner. Be prepared to review potentially sensitive content.

Possess a Bachelor's degree or equivalent practical experience, along with a minimum of two years in data analysis, including trend identification, summary statistics, and drawing insights from quantitative and qualitative data.

Demonstrate two years of experience in project management, with a focus on defining project scope, goals, and deliverables.

Preferred qualifications include a Master's degree in a quantitative discipline and two years of experience with languages such as SQL, R, Python, or C++. Familiarity with statistical analysis, machine learning libraries, or areas like Large Language Models and Generative AI is also advantageous.