Google

RCS Business Messages Analyst, Trust and Safety

Google Sunnyvale, California, United States · $141K–$205K/yr

Software Development · 10,001+ employees

23 h ago
Senior (5-10 yrs) Full-time United States
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About the role

The analyst will identify threats within the RCS business messaging ecosystem and design anti-abuse protections in collaboration with cross-functional teams. They are responsible for analyzing trends to improve AI/ML enforcement and managing the full trust and safety review funnel.

What they look for

Data analytics Trust and safety Policy development Anti-abuse solutions Fraud investigation Risk management Threat analysis Machine learning Reputation modeling Cross-functional leadership Communication Problem-solving Critical thinking Strategic planning Technical investigation

Requirements

Candidates must have a bachelor's degree and at least 7 years of experience in operations, data analytics, or trust and safety fields. Proficiency in fraud investigation, risk management, and large-scale data analysis is required.

Benefits

Bonus Equity

Full description

Minimum qualifications:

  • Bachelor's degreeor equivalent practical experience.
  • 7 years of experience in operations, data analytics, Trust and Safety, policy, anti-abuse solutions, fraud/abuse investigations, risk management or a related field.

Preferred qualifications:

  • Experience with building anti-abuse messaging solutions either in a technical or product capacity.
  • Experience performing fraud/abuse investigations, risk management, security and threat analysis in the context of internet, telephony or communication related products.
  • Experience in large scale data analysis, tools and processes for building ML reputation models.
  • Ability to influence cross-functional stakeholders and executive leadership with excellent communication and presentation skills.
  • Excellent problem-solving and critical thinking skills with attention to ever changing abuse landscape.

About the job:

At Google we work hard to earn our users’ trust every day. Trust & Safety (T&S) 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 Rich Communication Services (RCS) for Business Messaging (RBM) Spam and Abuse team works on preventing abuse with-in the RBM ecosystem (business-to-user, and user-to-business) think millions of businesses (SMB and Enterprises) interacting with billions of users.

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 double down and scale up the protections across the ecosystem, in strong partnership with product and engineering teams, with a focused goal of derisking 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.

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

US: $141000 - $205000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google. 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 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.