Associate Principal Strategist, Trust and Safety, Product Fairness

Associate Principal Strategist, Trust And Safety, Product Fairness

Mid Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

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.

The Responsible AI pillar within Google Trust and Safety focuses on driving cross-Google solutions for industry-leading responsible AI applications. It is a global team with Responsible AI domain expertise and different backgrounds in operations, strategy, ethics, risk management, product management, and program management. Within RAI, the Emerging AI Strategy function fosters coherent strategies and approaches on a range of emerging AI issues, including those pertaining to product fairness.

Google 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.

Responsibilities:

• Develop clear guidelines for identifying and assessing potential fairness implications across emerging generative AI technologies at scale.
• Design and build scaled fairness evaluations and provide subject expertise on'red teaming' sessions.
• Perform in-depth analysis into fairness issues and vulnerabilities.
• Prepare written reports outlining user impact issues, abuse vectors, and trends, and effectively communicate findings to product and company leadership.
• Provide guidance to product teams in identifying and mitigating fairness challenges by providing technical, qualitative, and quantitative data support in assessing ML models and products.
• Respond to time sensitive requests, and provide expert guidance to executives and cross-functional working groups to define strategies and timely solutions for supporting responsible product development.