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Senior Engineering Analyst, Trust and Safety Search

Google

Mountain View, CAJob$159–230K/yrSeen todaySeen in employer's feed today

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At a glance

Compensation
$159–230K/yr
Location
Mountain View, CA
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Job overview

The Senior Engineering Analyst will identify and mitigate user trust risks in Google Search through automated, scalable solutions, focusing on deceptive behaviors such as webspam and scams. The role works with Search engineers, Product Managers, and UX specialists to protect users, improve search quality, and address abuse. It involves analyzing complex patterns and datasets, developing countermeasures, and translating technical analyses into actionable insights. The work may expose the analyst to graphic, controversial, or upsetting content.

Skills & qualifications

RequiredNice to have

Skills

Data Analysis, requiredProject Management, requiredSQL, nice to haveR, nice to havePython, nice to haveC++, nice to haveSampling Design, nice to haveStatistical Analysis, nice to havePrompt Engineering, nice to haveLarge Language Models, nice to haveProduct Analysis, nice to haveDeceptive Behavior Analysis, nice to haveSEO, nice to haveWebsite Development, nice to haveWebsite Management, nice to haveProblem Solving, nice to haveCritical Thinking, nice to haveAttention to Detail, nice to have

Qualifications

Bachelor's Degree or Equivalent Practical Experience, required5+ Years Data Analysis Experience, required5+ Years Project Management Experience, requiredEnglish Proficiency, required

Full job description

Senior Engineering Analyst, Trust and Safety Search

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Mid

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

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Minimum qualifications:

  • Bachelor's degree or equivalent practical experience.

  • 5 years of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data.

  • 5 years of experience managing projects and defining project scope, goals, and deliverables.

Preferred qualifications:

  • 5 years of experience with one or more of the following languages: SQL, R, Python, or C++.

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

  • Experience in prompt engineering and applying Large Language Models for data labeling.

  • Experience working on product analysis and identifying deceptive behaviors.

  • Experience with SEO, website development, or website management.

  • Excellent problem-solving and critical thinking skills with attention to detail in an ever-changing environment.

About the job

As part of the broader Trust and Safety organization, we leverage our technical expertise and deep understanding of deceptive behaviors and practices on the web to protect users from harm and build their trust in Search. We address emerging and evolving threats like webspam, scams, and cross-surface manipulation that directly target users. We achieve this by deploying scaled solutions and operational automations alongside our partners, protecting the integrity and quality of Search against evolving abuse tactics.

As an Engineering Analyst in the Trust and Safety Search, you will work to discover, measure and mitigate user trust risks in Search through automated and scalable solutions. This would include working on Search results and various Search features with a focus on deceptive behaviors (e.g., webspam, scams, etc.). You will build relationships and work closely with Search engineers, Product Managers, and UX specialists to protect Google Search users from spam and harmful content. You will apply your analytical and technical skills to identify and prevent manipulative and deceptive behaviors, contribute to the development and enforcement of spam guidelines, and partner with engineering teams to enhance search ranking algorithms. Our aim is to resolve problems at scale by working with engineers on automated product protections, Large Language Model solutions, and/or through vendor support. This role will 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 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.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $159000 - $230000 (USD) + 15% bonus target + equity + benefits

Learn more aboutbenefits at Google (https://www.google.com/about/careers/applications/benefits/) .

Responsibilities

  • Develop domain knowledge in Search infrastructure, ranking signals, and products. Develop prompt-based AI Raters that can evaluate content safety in Google products.

  • Investigate and analyze complex patterns of badness and abuse on Google Search, utilizing data-driven insights to develop countermeasures and enhance platform security.

  • Analyze large datasets to identify trends, patterns, and anomalies that may indicate abuse or quality issues within Google Search.

  • Collaborate effectively with cross-functional teams, including Engineering, Product, Policy, and Legal, to develop and implement robust solutions that enhance search quality and user trust.

  • Translate complex technical analyses into clear, concise, and actionable insights for both technical and non-technical stakeholders.

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 5,369 open Data Analyst jobs on Olive Jobs, counted November 12, 2026.

Pay
  • This posting$159–230K/yr
  • California median$105–173K/yr272 salary ranges
  • US median$87–132K/yr3,577 salary ranges

This range's midpoint, $195K, is 41% above the California median midpoint ($138K) — in the top quarter of Data Analyst salary ranges in California.

Openings
Olive Jobs lists 396 open Data Analyst jobs in California and 5,369 across the US. 7% of them nationwide are listed as remote or flexible.
Hiring the most in California
Experience
This posting asks for at least 5 years of experience; Data Analyst postings that state a minimum ask for 4 years at the median (4,231 postings).
Education
2,184 of the 5,369 open Data Analyst jobs (41%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on November 12, 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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