Staff Engineering Analytics Manager, AI Safety

Google • Sunnyvale, CA

3d • $174,000 - $258,000

About The Position

In this role, you will be a part of a passionate team of data scientists and machine learning experts dedicated to mitigating risks associated with generative AI. You will have the opportunity to apply the latest advancements in AI/LLM, work with teams developing AI technologies, as well as protect the world from real-world harms.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. The US base salary range for this full-time position is $174,000-$258,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. 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 .

Requirements

• Bachelor's degree or equivalent practical experience.
• 7 years of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data.
• 7 years of experience managing projects and defining project scope, goals, and deliverables.
• 5 years of experience managing teams with performance management, mentorship, and coaching of team members.

Nice To Haves

• Master’s or Ph.D. degree in a quantitative discipline (e.g. Computer Science, Statistics, Mathematics, Operations Research etc.).
• Experience with prompt engineering and fine-tuning Large Language Model (LLMs).
• Excellent written, verbal, and presentation skills to effectively communicate with a variety of stakeholders, including executive leadership.
• Excellent problem-solving and critical thinking skills with attention to detail in an ever-changing environment.

Responsibilities

• Lead and scale a team of engineering analysts focused on AI safety, fostering the career growth of members through direct technical mentorship and guidance.
• Drive cross-functional alignment and influence executive stakeholders by translating data science findings into compelling narratives that support business outcomes.
• Direct the operational strategy for high-stakes foundational model launches, developing scalable safety solutions by leveraging advanced machine learning and AI techniques.
• Apply rigorous statistical and data science methodologies to audit protection measures and uncover vulnerabilities, ensuring continuous security enhancement through actionable insights.
• Navigate and manage high-pressure environments involving sensitive, graphic, or controversial content with professional resilience and composure.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager