Minimum qualifications:- Bachelor's degree or equivalent practical experience.
- 10 years of experience in data analytics, Trust and Safety, policy, cybersecurity, business strategy, or related fields.
Preferred qualifications:- Master's or PhD in relevant field.
- Experience with, machine learning.
- Experience in SQL, building dashboards, data collection/transformation, visualization/dashboards, or experience in a scripting/programming language (e.g. Python).
- Experience working with engineering and product teams to create tools, solutions, or automation to improve user safety.
- Experience working closely with policy teams.
- Excellent communication and presentation skills (written and verbal) and the ability to influence cross-functionally at various levels.
About the jobTrust & 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.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.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $171000 - $248000 (USD) 20% bonus target equity benefits
Learn more about benefits at Google .
Responsibilities- Drive the strategy to support the safe launch of GenerativeAI model or feature launches with a focus on Text Models, Model Personalization and Model Governance, and Health/Mental Health.
- Act as a key advisor and can-do operatator supporting cross-functional teams and senior stakeholders from DeepMind, T&S, Legal, Product, Google Health and many others to unblock critical safety initiatives and support innovation.
- Anticipate and prioritize risks and opportunities, design and deliver an end-to-end testing strategy, analyze results with clarity and drive accountability for designing and implementing mitigation and post-launch monitoring.
- Act as a trusted partner in a fluid environment, coordinating and providing a consolidated view of risks and mitigation across all launch pillars (e.g., policy, testing, features) to cross-functional partners and leadership.
- Perform on-call responsibilities on a rotating basis. Review graphic, controversial, or upsetting content.
