About the job

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 Messaging Spam and Abuse team works on preventing abuse within the messaging ecosystem (Cross-platform Messaging Services, Rich Communication Services, Rich Business Messaging, Google Messages). In this role, you will be responsible for keeping users safe from phishing, malware, scams, and other unwanted interactions in our messaging products. You will partner with product teams to identify potential abuse vectors ahead of new launches and establish, evaluate, and maintain abuse protections. You will understand the user's point of view and will be passionate about using your technical, analytical acumen to protect our users. You will work globally and cross-functionally with Google Engineers and Product Managers to navigate testing online safety situations and manage abuse and fraud at Google scale.

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 $159,000-$231,000 + 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.

Responsibilities

• Work with cross-functional teams to design and build anti-abuse protections leveraging reputation at all levels.

• Analyze emerging trends, conduct data analyses, and identify new signals to develop solutions for scaled enforcement.

• Lead projects to productionize machine learning models, heuristic rules, and measure system/model reliability.

• Advise on counter-abuse strategies based on changing industry norms. Create awareness of threats and educate clients on emerging abuse trends.

• Develop an understanding of abuse in messaging, current cross-product workflows, and available intelligence.

Minimum qualifications

• Bachelor's degree or equivalent practical experience.

• 5 years of experience in data analysis, including identifying trends, generating statistics, and drawing insights from data.

• Experience with data analysis and database management (e.g., SQL, Python, etc.).

Preferred qualifications

• Master's degree or equivalent practical experience.

• 8 years of experience working on signal development, data analysis, cyber security, or anti-abuse.

• Experience with fraud/abuse investigations, fraud risk management, security and threat analysis in the context of internet, telephony, or communication-related products.

• Experience with one or more languages: SQL, Python, Golang, including knowledge in Messaging (xMS/RCS) or SIM/Phone Number fraud and abuse.

• Excellent communication and presentation skills to deliver findings to cross-functional partners, and the ability to influence cross-functionally at various levels.

• Excellent problem-solving and critical thinking skills with attention to detail in a fluid environment.