RCS Business Messaging Analyst, Trust and Safety

Google•Kirkland, WA

3d•$142,000 - $205,000•Remote

About The Position

The Rich Communication Services (RCS) for Business Messaging (RBM) Spam and Abuse team works on preventing abuse within the RBM ecosystem (business-to-user, and user-to-business) involving millions of businesses (SMB and Enterprises) interacting with billions of users. The team is responsible for keeping partners safe from malicious content (phishing, malware, scams) and unwanted interactions (spam). Over the next few years, the team intends to double down and scale up protections across the ecosystem, in 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 acumen to protect 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, Trust & Safety is a team of abuse fighting and user trust experts working daily to make the internet a safer place. They partner with teams across Google to deliver bold solutions in abuse areas such as malware, spam, and account hijacking. This team of Analysts, Policy Specialists, Engineers, and Program Managers works to reduce risk and fight abuse across all of Google’s products, protecting users, advertisers, and publishers across the globe in over 40 languages.

Requirements

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

Nice To Haves

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 Operations and Trust and Safety.
Experience in 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.

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.