Senior Strategist, Scams and Verification Trust and Safety
Google· Internet & Cloud Services· Sep 9, 2026 · 2mo ago
Seattle, WA, USA
In office
Full-time
Senior
$90K–$125K est.
4+ years exp
Job description
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 Senior Strategist in the Scams and Verification team, you will be responsible for protecting users from offline scams - scams which take place outside the Google Ads Platform. You will use data to provide recommendations to products and devise solutions (global and hyperlocal) to stay ahead of the fraudsters. You will also be responsible for ensuring good advertisers are provided the right opportunity to serve. You will use Applied AI, machine learning, or other techniques to optimize human review cost and efficiency while continuously identifying enforcement gaps and automation opportunities. You will collaborate with cross-functional teams to achieve your business goals and lead projects end-to-end. You will collaborate closely with engineers to develop algorithms and solve quality issues end-to-end.
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.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $116000 - $166000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google .
• Collaborate with cross-functional groups such as PM, Engineering, Sales, and Legal to drive projects that increases users' safety and provide better online experience through Google Ads.
• Apply advanced statistical methods and technical analysis to uncover sophisticated abuse vectors.
• Lead investigations into complex tactics, techniques, and procedures (TTPs) to perform actor tracking and disrupt organized fraud rings targeting Google Ads.
• Identify automation and efficiency opportunities and drive solutions through analysis or cross-functional partnerships.
• Provide periodic on-call coverage and drive the rapid response for high-severity adversarial incidents, plus conduct thorough root cause analyses (RCAs) to implement long-term structural preventions.
• Bachelor's degree or equivalent practical experience.
• 4 years of experience in data analytics, trust and safety, policy, risk analysis, or related fields.
• Experience in SQL.
Minimum qualifications:
• Bachelor's degree or equivalent practical experience.
• 4 years of experience in data analytics, trust and safety, policy, risk analysis, or related fields.
• Experience in SQL.
Preferred qualifications:
• Master's degree in Computer Science, Engineering, Mathematics, Statistics, or Analysis, or a related technical field.
• Experience with scripting and coding (e.g., Python, Java).
• Experience with fraud or policy investigations, fraud risk management, Internet advertising, or e-commerce.
• Experience in roles related to business analysis or statistical analysis/machine learning.
• Excellent problem-solving and critical thinking skills with attention to detail in an ever-changing environment.
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