Minimum qualifications:- Bachelor's degree or equivalent practical experience.
- 5 years of experience in anti-abuse domain with focus on signal analysis, model development, data analysis, cyber security.
- 5 years of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data.
- Experience programming in one or more languages (e.g., SQL, Python, or Golang).
Preferred qualifications:- Experience performing fraud/abuse investigations, risk management, security, and threat analysis for communication products.
- Technical and product experience with end-to-end encrypted communication products and anti-abuse messaging solutions.
- Proficiency in large-scale data analysis, tools, and processes for building ML reputation models.
- Ability to develop privacy and safety-focused product design protections.
- Ability to develop policy and enforcement models focused on actor- and behavior-level strategies to identify and prevent harmful patterns.
- Strong problem-solving, critical thinking, and communication skills with the ability to influence cross-functional stakeholders and executive leadership.
About the jobThe 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 be a strategic thinker and team player with a passion for doing what's right. You understand the user's point of view and are passionate about using your technical, problem-solving, and strategic acumen to protect our users. You work globally and cross-functionally with Google Engineers and Product Managers to navigate testing online safety situations and handle abuse and fraud at Google scale.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $159000 - $230000 (USD) 15% bonus target equity 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 for scaled enforcement.
- Lead projects to produce ML models and heuristic rules while measuring system and model reliability.
- Advise on counter-abuse strategies, influence safer-by-design features, and educate clients on emerging threats to reduce issues upstream.
- Work with sensitive content or situations and may be exposed to graphic, controversial, or upsetting topics or content.
