Manager, Trust and Safety, Shopping

Google is a global technology leader that specializes in internet-related services and products, including search, cloud computing, software, and hardware.
Security
Staff Software Engineer
In-Person
5,000+ Employees
10+ years of experience
Enterprise SaaS · AI · E-Commerce

Description For Manager, Trust and Safety, Shopping

Google's Trust & Safety team is at the forefront of protecting users and partners across Google's diverse product ecosystem. This role leads a crucial team focused on Google Shopping's trust and safety initiatives, combining technical expertise with strategic leadership. The position requires a blend of data analytics, policy enforcement, and team management skills to ensure the security and quality of Google Shopping's ecosystem. The role offers the opportunity to work with cutting-edge technology and cross-functional teams while making a significant impact on user safety and merchant experiences. The team fights abuse across Google products, working in over 40 languages globally. This position involves collaboration with engineering, product, and policy teams, requiring both technical proficiency and excellent communication skills. The role is part of Google's broader mission to maintain user trust and platform integrity, offering the chance to work on meaningful challenges at a global scale.

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Responsibilities For Manager, Trust and Safety, Shopping

  • Lead, mentor, and performance manage a team of analysts responsible for policy enforcement for Product Listing Ads, Offer Quality, and User generated Content in Google Shopping
  • Act as a representative for T&S with cross-functional partners
  • Identify and address issues by developing programs and processes
  • Monitor trends, perspectives, and issues that could impact enforcement and operations

Requirements For Manager, Trust and Safety, Shopping

Python
  • Bachelor's degree or equivalent practical experience
  • 10 years of experience in data analytics, Trust and Safety, policy, cybersecurity, business strategy, or related fields
  • 1 year of experience in people management, leading a team
  • Experience with machine learning
  • Experience in SQL, building dashboards, data collection/transformation, visualization/dashboards, or experience in Python
  • Experience working with engineering and product teams
  • Experience working with policy teams
  • Excellent communication and presentation skills

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