Head of Novel AI Testing, Trust and Safety

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
  
• 13 years of experience in trust and safety, product policy, privacy and security, legal, compliance, risk management, intel, content moderation, red teaming, AI testing, adversarial testing, or similar.
• 2 years of experience in people management, leading teams.
  
• Experience with AI systems or machine learning.

Preferred qualifications:

• Master's degree or PhD in a relevant field.
• 4 years of experience in people management.
• Experience working with GenAI products.
• Familiarity with SQL, Python or equivalent, and ability to think strategically and identify emerging threats and vulnerabilities.
• Excellent investigative skills with a focus on data analysis, using data in storytelling, and problem-solving.
• Excellent problem-solving and critical thinking 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.

As the Head of Trust and Safety Responsible AI Novel Testing, you will lead a team of experts in developing structured ways to test new generative AI products and features against safety, neutrality and fairness standards. You will work closely with your team to define and lead the structured testing strategy and provide actionable insights reports to be used to drive mitigation steps for novel generative AI product/feature launches, where testing standards and methodologies are undefined. You will be a thought leader in defining Google's strategy for launching AI products responsibly, and develop partnerships across Product, Engineering, and Trust and Safety through effective relationship building, influence 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 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 $198,000-$282,000 + 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

• Work with your team and stakeholders to develop and implement strategic programs to enhance AI safety at Google.
• Be responsible for leading and motivating a team of Trust and Safety Analysts, ensuring they are empowered, supported, and engaged.
• Be a key influencer within the team and beyond, providing thought leadership and expertise in AI safety.
• Work with sensitive content or situations and be exposed to graphic, controversial, or upsetting topics or content.