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Minimum qualifications:

+ Bachelor's degree or equivalent practical experience.

+ 7 years of experience in data analysis or data science, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data.

+ Experience managing people or leading a team.

Preferred qualifications:

+ Master's degree in a quantitative discipline.

+ Experience with using Python for data analysis and visualization.

+ Experience with managing and developing people.

+ Experience designing sampling approaches and using statistical analysis for making product recommendations.

+ Experience in developing prompts and applying Large Language Models for data labeling.

+ Experience working on product policy analysis and identifying policy risks.

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 an Engineering Analyst Manager in the Trust and Safety Search Intelligence team you will work to discover, measure and mitigate user trust risks in Search products through scalable solutions. You will have to build relationships and partner closely with Search engineers, PMs, data scientists and other functions. You will lead a team of high-performing analysts creating metrics, templates and datasets to improve trust and safety protections.

In this role, you will learn about product design details, product policies and relevant quality signals. Some of the areas of interest for us are misinformation, offensive and sensitive content. You will also work on analyzing existing product protections, evaluating content and helping to improve policy definitions. Our aim is to resolve problems at scale either by working with engineers on automated product protections or through external support.

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 (https://careers.google.com/benefits/) .

+ Lead a team of analysts working on web spam, privacy, and search removals.

+ Plan goals and strategy for the team, become an expert in Search infrastructure, ranking signals and Search features. Design and implement product metrics to benchmark user trust risks and track improvements over time.

+ Partner with Search Intelligence teams on project scoping, risk assessments, and prioritization.

+ Build LLM-based models that can evaluate content safety according to our product policies.

+ Create datasets for engineers to evaluate and improve sensitive content classifiers. Occasionally review or be exposed to sensitive or violative content as part of core role.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCP_EEO_Post.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.