
Associate Principle, Trust and Safety Ads Content Safety
New York, NYJob$141–205K/yrSeen 5 days agoSeen in employer's feed 5 days ago
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At a glance
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Job overview
The Associate Principle will safeguard the Google Ads ecosystem through technical data analysis, strategic cross-functional leadership, and investigations. The role supports Personalized Ads and Healthcare initiatives, identifying and addressing abuse and fraud while helping engineering teams improve detection systems. The team develops policies and scaled enforcement across emerging content-safety challenges, with a focus on user trust, operational efficiency, and advertiser experience.
Skills & qualifications
Skills
Qualifications
Full job description
Associate Principle, Trust and Safety Ads Content Safety
Share Associate Principle, Trust and Safety Ads Content Safety
corporate_fare Google place New York, NY, USA
Mid
Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.
Share Associate Principle, Trust and Safety Ads Content Safety
Minimum qualifications:
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Bachelor's degree or equivalent practical experience.
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7 years of experience in data analytics, Trust and Safety, policy, cybersecurity, or a related field.
Preferred qualifications:
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Master's or PhD in relevant field.
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Experience with scripting and coding.
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Experience with fraud or policy investigations, fraud risk management, Internet advertising, or e-commerce.
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Excellent problem-solving and critical thinking skills with attention-to-detail in an ever-changing environment.
About the job
As a member of the Content Safety team, you will join our Personalized Ads and Healthcare initiatives. You will work globally and cross-functionally with Google engineers, product managers and policy teams to identify and fight abuse and fraud cases at Google scale and speed. You aren't just reacting to threats; you are a big-picture strategist working at "Google speed" alongside engineers and product leaders to outpace bad actors and protect user trust. You take pride knowing that every day you are working hard to promote trust in the Google brand, and ensure the highest levels of user safety while optimizing advertiser experience.
In this role, you will be responsible for safeguarding the Google Ads ecosystem. Your role is a blend of technical data analysis, strategic cross-functional leadership, and direct investigative work. You will use data to predict their next moves, influence how engineering teams build detection systems, and ensure that safety measures do not disrupt the experience for legitimate advertisers.
Our team is at the forefront of raising the bar on content through coherent policies and scaled, effective enforcement. We have expanded beyond traditional product protections to manage emerging challenges—including brand safety, controversial content, violent extremism, and political interference driving expertise across Google's growing Ads ecosystem.
You will partner with key stakeholders to optimize operational performance, scale cross-functional initiatives, and lower abuse rates. You will deliver high-impact solutions with a focus on user trust, operational efficiency, and abuse mitigation strategies. You will align with product, policy, and engineering teams to implement scalable enforcement frameworks.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $141000 - $205000 (USD) + 15% bonus target + equity + benefits
Learn more aboutbenefits at Google (https://www.google.com/about/careers/applications/benefits/) .
Responsibilities
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Collaborate with cross-functional groups such as Product Management, Engineering, Sales, Policy, Public Relations, and Legal to drive projects that increase users' safety and provide a better online experience through Google Ads.
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Execute complex queries and analyses, build visual models, and construct presentations on abuse trends to aid in fraud prevention and influence change in existing abuse detection systems without compromising advertiser experience.
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Conduct investigations to catch fraudsters, enforce our product policies, learn scam patterns/ trends and identify product vulnerabilities.
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Identify automation and efficiency opportunities, drive solutions through analysis or cross-functional partnerships, and provide periodic on-call coverage for stakeholder escalations.
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Review sensitive content or situations and may be exposed to graphic, controversial or upsetting topics or content.
Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) .
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See alsoGoogle's EEO Policy (https://www.google.com/about/careers/applications/eeo/) ,Know your rights: workplace discrimination is illegal (https://careers.google.com/jobs/dist/legal/EEOC\_KnowYourRights\_10\_20.pdf) ,Belonging at Google (https://about.google/belonging/) , andHow we hire (https://careers.google.com/how-we-hire/) .
If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form (https://goo.gl/forms/aBt6Pu71i1kzpLHe2) .
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.
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.
How this job compares
Set against the 2,295 open Data Analytics jobs on Olive Jobs, counted October 27, 2026.
- Pay
- This posting$141–205K/yr
- New York median$125–181K/yr159 salary ranges
- US median$119–195K/yr1,614 salary ranges
This range's midpoint, $173K, is 13% above the New York median midpoint ($153K) — in the middle half of Data Analytics salary ranges in New York.
- Openings
- Olive Jobs lists 237 open Data Analytics jobs in New York and 2,295 across the US. 4% of them nationwide are listed as remote or flexible.
- Hiring the most in New York
- JPMorgan Chase17 open
- PwC14 open
- CDM Smith6 open
- Experience
- This posting asks for at least 7 years of experience; Data Analytics postings that state a minimum ask for 5 years at the median (1,769 postings).
- Education
- 1,129 of the 2,295 open Data Analytics jobs (49%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on October 27, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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