Google Messages Lead, Ecosystem, Trust and Safety

Google•Kirkland, WA

2h•$171,000 - $247,000

About The Position

The Trust and Safety team works across Google to reduce risks and fight abuse, including malware, spam, and account hijacking. The RCS for Business (RBM) Messaging Spam and Abuse team prevents abuse in business-to-user and user-to-business messaging, protecting partners from malicious content such as phishing, malware, and scams, as well as unwanted interactions such as spam. The team aims to expand protections across the ecosystem in partnership with product and engineering teams. In this role, you will use technical, investigative, and strategic expertise to protect users. You will work globally and cross-functionally with Google Engineers and Product Managers to address online safety challenges and manage abuse and fraud at Google scale.

Requirements

Bachelor's degree or equivalent practical experience.
10 years of experience in data analytics, trust and safety, policy, anti-abuse messaging solutions, fraud/abuse investigations, risk management, or a related field.
3 years of experience leading and developing teams.
3 years of experience with product launch or program management.

Nice To Haves

Experience in fraud investigations, risk management, and threat analysis for communication products.
Experience building technical or product-based anti-abuse messaging solutions.
Experience in operations and Trust and Safety, including leading fast-moving teams.
Experience in large-scale data analysis and processes for developing ML reputation models.
Excellent communication skills and ability to influence cross-functional stakeholders and leadership.
Excellent problem-solving and critical-thinking skills, with attention to the evolving abuse landscape.

Responsibilities

Identify business-to-user and user-to-business threats; work 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 trends to identify signals for scaled enforcement, and lead projects that increase 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.
Ensure effective policy implementation by drafting guidelines for reviewers and overseeing review and enforcement quality.
Build and scale lean operational processes, deploying automation-first strategies.
Provide abuse and policy expertise to Product, Engineering, and other teams, supporting the development of automated enforcement solutions.
Monitor ecosystem performance against key metrics and investigate anomalies in spam trends to identify root causes.
Manage industry partner-experience trends and executive escalations by providing timely, data- and content-driven insights.