Sensitive Content Analyst, Emerging AI Strategy Full-time

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
• 4 years of experience in data analytics, Trust & Safety, policy, cybersecurity, or related fields.

Preferred qualifications:

• Master’s degree in relevant field.
• Education in, or experience with, machine learning.
• Experience in SQL, building dashboards, data collection/transformation, visualization/dashboards, or experience in a scripting/programming language (e.g. Python).
• Excellent communication and presentation skills (written and verbal) and the ability to influence cross-functionally at various levels.
• 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.

The Responsible AI pillar within Google Trust & Safety focuses on driving One Google solution for industry-leading responsible AI applications. It is a global team with Responsible AI domain expertise and diverse backgrounds in operations, strategy, ethics, risk management, product management, and program management.

Within Responsible AI, the Emerging AI Strategy function fosters coherent strategies and approaches to a range of emerging AI issues. We partner with teams across Alphabet and with others across industry to address key AI challenges; we develop and deliver excellent evaluation frameworks; and we help partner teams navigate risks and opportunities related to AI-generated content. In this role, you will help drive strategies and evaluations related to the impartiality and objectivity of Generative AI models.

This role works with sensitive content or situations and may be exposed to graphic, controversial, and/or upsetting content.

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 $108,000-$158,000 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

• Design and implement integrations between business objectives and business systems, including designing and building strategies that support these business systems.
• Conduct strategic analysis, optimize business performance, and deliver within relevant product areas. This includes analyzing data, identifying trends, and developing solutions that improve business performance.
• Manage projects involving multiple stakeholders, tight timelines, important organizational implications, and changing circumstances.
• Use Google’s big data to conduct data-oriented analysis, architect metrics, synthesize information, solve problems, and influence business decision-making by presenting insights and market trends.
• Perform deep-dive analysis AI products. Prepare written reports outlining user impact issues, abuse vectors, and trends, and effectively communicate findings to product and company leadership.