Trust & Safety team members are tasked with identifying and taking on the biggest problems that challenge the safety and integrity of our products. They use technical know-how, excellent problem-solving skills, user insights, and proactive communication to protect users and our partners from abuse across Google products like Search, Maps, Gmail, and Google Ads. On this team, you're a big-picture thinker and strategic team-player with a passion for doing what’s right. You work globally and cross-functionally with Google engineers and product managers to identify and fight abuse and fraud cases at Google speed - with urgency. And you take pride in knowing that every day you are working hard to promote trust in Google and ensuring the highest levels of user safety.
The mission of our team is to protect Google's users and advertisers by making the ads ecosystem universally trusted and defended against invalid traffic and ensuring publishers comply with our policies.
In this role, you will defend Google's ad products from fraud and abuse. You will evaluate millions of publishers, analyze billions of events, and create scalable methods to stop bad actors and motivated fraudsters from causing harm. You will understand the users' point of view and will be passionate about using our technical, sales, and customer service acumen to protect them. You will also help users, advertisers, publishers, and Google harness information and monetize the internet safely and usefully.
Responsibilities
- Lead and execute sophisticated investigations and analyses using advanced statistical methods and data sources to identify, characterize, and defend against novel fraud and abuse across Google's ad ecosystem.
- Partner closely with Engineering teams to improve ad traffic infrastructure, defense systems, and workflows. Proactively identify and help implement efficiency improvements through advanced machine learning techniques, scaled defenses, and automation.
- Drive full life-cycle projects across Product, Engineering, and Trust and Safety teams to prevent abuse by improving policies and closing product vulnerabilities.
- Work collaboratively with teammates around the globe and deliver projects from beginning to end in a timely manner.
- Work with sensitive content or situations and may be exposed to graphic, controversial, or upsetting topics or content.
Qualifications
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 5 years of experience in data analysis (e.g., identifying trends, generating summary statistics, drawing insights from quantitative and qualitative data, and designing experiments and automation).
- 5 years of experience managing projects and defining project scope, goals, and deliverables.
Preferred qualifications:
- Experience developing and deploying GenAI-based solutions.
- Experience in the digital advertising industry in a technical role.
- Experience with fraud and risk management or statistical and quantitative modeling.
- Experience applying Machine Learning (ML) and Artificial Intelligence (AI) in industry settings.
- Excellent written, verbal, and people management skills to communicate technical concepts and influence cross-regional and cross-functional stakeholders at all levels.
- Excellent problem-solving and critical thinking skills with attention to detail in an ever-changing environment.