Google
Minimum qualifications
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.
Preferred qualifications
Master's degree in a quantitative discipline.
7 years of experience or familiarity with machine learning systems.
7 years of experience or familiarity with one or more of the following languages such as SQL, R, Python, or C++.
Excellent written and verbal communication skills.
About The Job Fast‑paced, dynamic, and proactive, YouTube’s Trust & Safety team is dedicated to making YouTube a safe place for users, viewers, and content creators around the world to create, and express themselves. Whether understanding and solving their online content concerns, navigating within global legal frameworks, or writing and enforcing worldwide policy, the Trust & Safety team is on the frontlines of enhancing the YouTube experience, building internet safety, and protecting free speech in our ever‑evolving digital world.
In this role, you will apply critical thinking and leadership skills to analyze risks and opportunities presented by GenAI models and product features, designing a responsibility strategy that balances both. You will synthesize expertise across cross‑functional teams to prioritize issues, create testing strategies, and implement risk mitigation measures. Your responsibility extends beyond launch to include post‑launch monitoring and analysis for ongoing safety and emerging trends.
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.
Salary: US base range \$174,000–\$258,000 + bonus + equity + benefits. Compensation details listed reflect base salary only, not including bonus, equity or benefits. Learn more about benefits at Google.
Responsibilities
Think logically and work effectively in a constantly changing environment while influencing cross‑functionally and cross‑geographically with all levels of management.
Function as a critical thinker and take the lead as needed.
Manage multiple executive stakeholders, influencing safety strategy and operational execution at all levels.
Make business decisions, including identifying gaps or business needs, and innovating and scaling solutions.
Analyze ML model performance or work on large language model (LLM) and data analytics using statistical analysis and hypothesis testing.
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 Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
Seniority level
Not Applicable
Employment type
Full‑time
Job function
General Business, Strategy/Planning, and Consulting
Industries
Information Services and Technology, Information and Internet
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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.
Preferred qualifications
Master's degree in a quantitative discipline.
7 years of experience or familiarity with machine learning systems.
7 years of experience or familiarity with one or more of the following languages such as SQL, R, Python, or C++.
Excellent written and verbal communication skills.
About The Job Fast‑paced, dynamic, and proactive, YouTube’s Trust & Safety team is dedicated to making YouTube a safe place for users, viewers, and content creators around the world to create, and express themselves. Whether understanding and solving their online content concerns, navigating within global legal frameworks, or writing and enforcing worldwide policy, the Trust & Safety team is on the frontlines of enhancing the YouTube experience, building internet safety, and protecting free speech in our ever‑evolving digital world.
In this role, you will apply critical thinking and leadership skills to analyze risks and opportunities presented by GenAI models and product features, designing a responsibility strategy that balances both. You will synthesize expertise across cross‑functional teams to prioritize issues, create testing strategies, and implement risk mitigation measures. Your responsibility extends beyond launch to include post‑launch monitoring and analysis for ongoing safety and emerging trends.
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.
Salary: US base range \$174,000–\$258,000 + bonus + equity + benefits. Compensation details listed reflect base salary only, not including bonus, equity or benefits. Learn more about benefits at Google.
Responsibilities
Think logically and work effectively in a constantly changing environment while influencing cross‑functionally and cross‑geographically with all levels of management.
Function as a critical thinker and take the lead as needed.
Manage multiple executive stakeholders, influencing safety strategy and operational execution at all levels.
Make business decisions, including identifying gaps or business needs, and innovating and scaling solutions.
Analyze ML model performance or work on large language model (LLM) and data analytics using statistical analysis and hypothesis testing.
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 Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
Seniority level
Not Applicable
Employment type
Full‑time
Job function
General Business, Strategy/Planning, and Consulting
Industries
Information Services and Technology, Information and Internet
#J-18808-Ljbffr