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Job Details
Posted date: Jul 08, 2025
Location: Kirkland, WA
Level: Senior
Estimated salary: $153,500
Range: $126,000 - $181,000
Description
Perform analysis and investigations using a variety of data sources and take enforcement actions to identify and defend novel fraud and abuse on Google's ad products. Partner closely with Engineering teams to improve ad traffic and content evaluation infrastructure, defense systems, and workflows. Proactively identify and help implement efficiency improvements through advanced machine learning techniques, scaled defenses, and automation. Analyze monetized content on websites and apps, and build and evaluate models that automate decisions or generate highly actionable leads for content review teams. Drive full life-cycle projects across Product, Engineering, and Trust and Safety teams to prevent abuse by improving policies and closing product vulnerabilities. Be able to review or be exposed to sensitive content.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.
The mission of our team is to protect Google's users and advertisers by making the ads ecosystem universally trusted and defended against invalid traffic and ensuring publishers comply with our policies.
We defend Google's ad products from fraud and abuse. We evaluate millions of publishers, analyze billions of events, and create scalable methods to stop bad actors and motivated fraudsters from causing harm. We understand the user's point of view and are passionate about using our technical, sales, and customer service acumen to protect them. When we get this right, we help users, advertisers, publishers, and Google harness information and legalize the internet safely and usefully.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 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 $126,000-$181,000 + 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.
Qualifications
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. Experience with SQL.Preferred qualifications: Master's degree in quantitative fields like Data Science, Analytics, Statistics, etc. Experience in digital advertising industry in a technical role. Experience in data management, metrics analysis, experiment design and automation. Experience with fraud and risk management or statistical and quantitative modeling. Experience applying AI/ML in industry settings. Excellent written, verbal, and people management skills to communicate technical concepts with cross-regional and cross-functional stakeholders at all levels.
Extended 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. Experience with SQL.Check out other jobs at Google.