Technical Analyst Manager, Content Adversarial Red Team

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
• 10 years of experience in any combination of data analytics, data science, statistics, intel (geopolitical research, OSINT, etc.),Trust and Safety, policy, cybersecurity, business strategy, or related fields.
• 1 year of experience in people management or leading a team.

Preferred qualifications:

• Master’s degree or PhD or equivalent practical experience.
• 3 years of experience in people management.
• Experience in SQL, building dashboards/visualization, data collection/transformation, or in a scripting/programming language (e.g. Python).
• Experience with AI or machine learning systems.
• Experience working with engineering or product teams to create tools, solutions, or automation to improve user safety.
• Excellent problem-solving skills with attention to detail in an ever-changing environment.

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.

In this role, you will help lead efforts to uncover unknown generative AI issues, novel threats and vulnerabilities that are not captured by traditional testing methods. You will drive and manage complex work to use technical tools, scripts, and automation and develop repeatable processes that can multiply CART’s impact, yield valuable insights, and identify and mitigate emerging content safety risks within Google’s GenAI products. Your ability to think strategically will be instrumental in shaping the future of AI development, ensuring that Google’s AI products are safe, fair, and unbiased.

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 diverse 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 $156,000-$234,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. 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

• Manage and motivate a team of Trust and Safety Technical Analysts, ensuring they are empowered, supported, and engaged, providing clear direction and guidance, developing and nurturing talent, building a collaborative team culture, and managing performance and workload.
• Drive and manage the development and implementation of CART’s technical analysis program to improve AI safety and security.
• Drive red team projects, for Google’s most prominent Generative AI products, using novel strategies to identify unknown content safety risks.
• Work with sensitive content or situations and may be exposed to graphic, controversial, or upsetting topics or content.