Google's brand is only as strong as our users' trust and their steadfast belief that our guiding principles are what's best for them. The Trust and Safety (T&S) team has the critical responsibility of protecting Google's users by ensuring online safety by fighting fraud and abuse across Google products like Ads, Maps, Chrome, Play, GMail, and Search.

The Messaging Spam and Abuse team works on preventing abuse within the messaging ecosystem (xMS, RCS, RBM, Google Messages). We are responsible for keeping users safe from phishing, malware, scams, and other unwanted interactions in our messaging products. We partner with product teams to identify potential abuse vectors ahead of new launches and establish, evaluate, and maintain abuse protections.

In this role, you will work globally and cross-functionally with Google Engineers and Product Managers to navigate challenging online safety situations and work on abuse and fraud at Google scale. 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.

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.

• Analyze emerging trends, conduct complex data analyses, and identify new signals to develop solutions for scaled enforcement.
  
• Develop a deep understanding of abuse in messaging, current cross-product workflows, and available intelligence.
  
• Work with cross-functional teams to design and build anti-abuse protections leveraging reputation at all levels (phone number, user, IP etc.), and advise on counter-abuse strategies. Also includes productionizing ML models and heuristic rules.
  
• Build monitoring and alerting dashboards to track abuse levels, perform quality checks to measure system/model reliability, and resolve false positives. Create real-time awareness of threats and educate clients to reduce the problem upstream.
  
• Lead projects to prevent Google's infrastructure from being abuse, harm or fraud, resulting in losses to users and/or Google. Collaborate cross-functionally to develop requirements based on robust data analysis and granular product understanding.