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 the Trust and Safety Ad Traffic Quality team is to make the ads ecosystem universally trusted and defended against invalid Traffic. We analyze billions of events and create scalable methods to stop motivated fraudsters from causing harm. When we get this right, we help users, advertisers, publishers, and Google gain information and monetize the internet safely and usefully.
In this role, you will be trained to use tools that analyze datasets that are truly Google-scale and dive deep into advanced data analysis techniques we use to prevent fraud and abuse. You will collaborate closely on projects with Engineering, Product, Sales, and Legal stakeholders. You will also work cross-functionally with Product, Policy, Training, Quality and Vendor Managers to lead high fidelity operations and will perform on-call responsibilities on a rotating basis. Your role may be exposed to graphic, controversial, and/or upsetting content.
Responsibilities
- Analyze the evolving AI threat landscape. Identify and forecast future misuse vectors and adversarial techniques, translating these insights into proactive mitigation plans.
- Provide and apply our intelligence to be ready to respond to new adversarial campaigns or actors, taking enforcement actions to identify and defend novel fraud and abuse on Google's ad products.
- Lead initiatives to implement next-generation safety mitigations. Guide engineering and research teams in building sophisticated technical solutions, from fine-tuning techniques to classifier-based guardrails.
- 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.
- Innovate and develop methods to incorporate AI models to improve quality of the manual review operations as well as develop actionable insights to the engineering teams.
Qualifications
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 7 years of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data.
- 7 years of experience managing projects and defining project scope, goals, and deliverables.
- 7 years of experience utilizing Python and SQL to solve engineering problems.
Preferred qualifications:
- Experience in building robust scaled operations, efficient workflow design and process documentation.
- Ability and willingness to work across time zones, to communicate with a globally distributed team.
- Excellent problem-solving and critical thinking skills with attention to detail in an ever-changing environment.
- Excellent communication and presentation skills and the ability to influence cross-functionally at various levels.