About the job

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.

As a cross-product abuse analyst for Egregious Harms (Child Safety (including Child Sexual Abuse Materials), Non-Consensual Intimate Imagery (NCII), and Violent Extremism (VE), you will be part of a team of abuse experts that enforce, build and oversee comprehensive strategies for the entire scaled anti-abuse enforcement workflow lifecycle from onboarding/launch, incubation, implementation to ongoing oversight. You will partner closely with the technical abuse-fighting experts in Trust and Safety to understand workflow, intake processes, prioritisation and develop a streamlined and scalable approach to increase efficiency and also determine the right metrics and system to measure and track results. You will be experienced in developing and streamlining processes across your set of products at scale, while implementing operating excellence. You will need to manage many stakeholders through effective relationship building, influencing and communication skills.

At Google we work hard to earn our users’ trust every day. Trust & Safety is Google’s team of abuse fighting and user trust experts working daily to make the internet a safer place. We partner with teams across Google to deliver bold solutions in abuse areas such as malware, spam and account hijacking. A team of Analysts, Policy Specialists, Engineers, and Program Managers, we work to reduce risk and fight abuse across all of Google’s products, protecting our users, advertisers, and publishers across the globe in over 40 languages.

The US base salary range for this full-time position is $142,000-$205,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

• Implement strategies for review and enforcement of newly centralising and evolving Egregious Harms global policy.

• Build deep policy knowledge and product expertise to develop and implement core strategies and iteratively improve enforcement operations.

• Lead projects involving multiple-stakeholders with the ability to improve abuse detection systems and mitigate user harm.

• Partner closely with stakeholders across Trust and Safety and other cross-functional teams such as Product, Engineering, Policy and Legal.

• Review graphic, controversial, and sometimes offensive content during the course of the role in line with Google's policies.

Minimum qualifications

• Bachelor's degree or equivalent practical experience.

• 7 years of experience in data analytics, Trust and Safety, policy, cybersecurity, or related fields.

• 3 years of experience leading process improvements and iterating on operational workflows.

Preferred qualifications

• 2 years of experience in product policy, content moderation, or risk management.

• Experience in SQL, building dashboards, data collection/transformation, visualization/dashboards, or in a scripting/programming language (e.g., Python).

• Experience with machine learning.

• Ability to solve unstructured business problems while working with cross-functional teams.

• Excellent written and verbal communication and presentation skills, and the ability to influence cross-functionally at various levels.

• Excellent technical and problem-solving skills to frame solutions using data and to make data-driven decisions.