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Job Details
Posted date: Jan 16, 2026
Location: Seattle, WA
Level: Senior
Estimated salary: $153,500
Range: $126,000 - $181,000
Description
Collaborate with cross-functional groups such as Product Management, Engineering, Sales and Legal to drive projects that increases users' safety and provide better online experience through Google Ads. Conduct complex queries and analyses, build visual models, and construct presentations on abuse trends to aid in fraud/abuse/scams prevention and influence change in existing abuse detection systems. Identify opportunities/sources for new signals, automation, and workflow improvements. Conduct investigations to catch fraudsters, enforce our product policies, learn new abuse patterns/ trends and identify product vulnerabilities. Work with sensitive content or situations and may be exposed to graphic, controversial, or upsetting topics or content. Require on-call schedules outside of working hours, including weekends/holidays.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.
In this role, you will be at the forefront of re-imagining how we use data to power our Ads Verification ecosystem. You will lead efforts to rebuild complex data foundations, including tables, dashboards, and logging mechanisms, to provide robust tracking of key metrics and empower data-driven decisions across multiple teams. You will advocate the strategic shift from traditional manual review processes to innovative, AI-driven solutions, enhancing both efficiency and accuracy. You will work to optimize operational workflows, carefully balancing the need for strong policy enforcement and a positive advertiser experience.
As a subject matter expert, you will also serve as a key point of contact for high-priority data-related incidents and escalations, ensuring swift resolution and adherence to quality standards in a dynamic environment.
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, data engineering, business intelligence, or a similar investigative role. Experience in SQL for data extraction, manipulation, and analysis of datasets.Preferred qualifications: Master's degree in a quantitative discipline. 3 years of experience creating and maintaining dashboards and reports to track key metrics. Understanding how AI/ML can be applied to operational workflows, such as moving from manual to automated reviews. Understanding of Google Ads policies, advertiser verification processes, and the trust and safety landscape with the ability in identifying process inefficiencies and recommending improvements, particularly through data and technology. Ability to think big picture about the data strategy and its impact on the verification ecosystem. Excellent problem-solving and critical thinking skills with attention to detail in an ever-changing environment.
Extended Qualifications
Bachelor's degree or equivalent practical experience. 2 years of experience in data analysis, data engineering, business intelligence, or a similar investigative role. Experience in SQL for data extraction, manipulation, and analysis of datasets.Check out other jobs at Google.