Google Messages Lead, Ecosystem Trust and Safety

About the job

The RCS for Business (RBM) Messaging Spam and Abuse team works on preventing abuse within the RBM ecosystem (Business to user, and User to business).

We are responsible for keeping our partners safe from malicious content (phishing, malware, scams) and unwanted interactions (spam). Over the next few years, we intend to scale up the protections across the ecosystem, in partnership with product and engineering teams, with a focused goal of de-risking RCS value to the business ecosystem overall.

In this role, you will understand the user's point of view and be passionate about using your technical, investigative, and strategic acumen to protect our users. You will work globally and cross-functionally with Google Engineers and Product Managers to navigate challenging 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.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $171000 - $248000 (USD) + 20% bonus target + equity + benefits

Learn more about [benefits at Google](https://www.google.com/about/careers/applications/benefits/).

Responsibilities

• Identify Business-to-Users and Users-to-Business threats, working cross-functionally to design and build anti-abuse protections, influence safer-by-design product features, and advise on counter-abuse strategies and emerging trends.
• Analyze complex data and emerging trends to identify new signals for scaled enforcement, leading projects to increase the adoption of AI/ML to improve operational efficiency and effectiveness.
• Design and operate the full Trust and Safety funnel of review, enforcement, and appeals workflows, this includes ensuring effective policy implementation by drafting guidelines for reviewers and overseeing review and enforcement quality.
• Provide abuse and policy expertise to Product, Engineering, and other cross-functional teams to support the development of automated enforcement solutions.
• Monitor ecosystem performance against key metrics, investigate anomalies in spam trends to identify root causes, manage industry partner-experience trends, and manage executive escalations by providing timely, data- and content-driven insights.