Published on

Mar 23, 2024

Published on

Mar 23, 2024

Published on

Mar 23, 2024

Published on

Mar 23, 2024

Generative AI Analyst, Trust and Safety Operations

Generative AI Analyst, Trust and Safety Operations

Generative AI Analyst, Trust and Safety Operations

Generative AI Analyst, Trust and Safety Operations

Full-time

/

Bengaluru,India

/

On-site

Full-time

/

Bengaluru,India

/

On-site

Full-time

/

Bengaluru,India

/

On-site

Full-time

/

Bengaluru,India

/

On-site

About the job

Minimum qualifications:

  • Bachelor's degree in Computer Science, Engineering, Statistics, Mathematics, a related discipline, or equivalent practical experience.

  • 4 years of experience working with analytical tools or data analysis (e.g., SQL, Python, business Intelligence/dashboards).


Preferred qualifications:

  • Experience working with spam, fraud, or malware.

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

  • Experience using statistical analysis and hypothesis testing.

  • Experience analyzing machine learning models performance or working on Large Language Models (LLM).

  • Excellent influencing skills, with the ability to work in a dynamic environment.


About The Job

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.

The Trust and Safety team is working with technologies in order to keep users safe and improve the quality of Google's products. As part of the team, you will develop and manage cross-functional relationships with Engineering, Product, Legal, and Operations teams in efforts to improve processes for identifying and resolving policy and quality issues on Generative AI products.

In this role, you'll be responsible for the execution of projects with a diverse group of stakeholders. You will analyze market trends, set forward-looking strategy, and implement scaled solutions to solve user safety and quality issues, and ensure a positive user experience across Generative AI products.

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 diverse 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.

Responsibilities

  • Establish metrics to benchmark Generative AI issues and quantify improvements, develop datasets and run evaluations for engineers to evaluate and improve Search, Labs, and Assistant products, and perform data analyses to derive insights that help identify and fight abuse.

  • Use technical judgment to drive project delivery, challenge proposals, and identify risks. Manage multiple projects and scope against crashed timelines.

  • Improve tools through data analysis, technical expertise, and presentations, as well as enhance operational workflows via process improvements and identification of automation opportunities.

  • Analyze and debug escalations, identify trends that can indicate product risks, and perform on-call responsibilities on a rotating basis, including weekend coverage.

  • Review graphic, controversial, and offensive/sensitive content as needed.



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 .

About the job

Minimum qualifications:

  • Bachelor's degree in Computer Science, Engineering, Statistics, Mathematics, a related discipline, or equivalent practical experience.

  • 4 years of experience working with analytical tools or data analysis (e.g., SQL, Python, business Intelligence/dashboards).


Preferred qualifications:

  • Experience working with spam, fraud, or malware.

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

  • Experience using statistical analysis and hypothesis testing.

  • Experience analyzing machine learning models performance or working on Large Language Models (LLM).

  • Excellent influencing skills, with the ability to work in a dynamic environment.


About The Job

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.

The Trust and Safety team is working with technologies in order to keep users safe and improve the quality of Google's products. As part of the team, you will develop and manage cross-functional relationships with Engineering, Product, Legal, and Operations teams in efforts to improve processes for identifying and resolving policy and quality issues on Generative AI products.

In this role, you'll be responsible for the execution of projects with a diverse group of stakeholders. You will analyze market trends, set forward-looking strategy, and implement scaled solutions to solve user safety and quality issues, and ensure a positive user experience across Generative AI products.

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 diverse 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.

Responsibilities

  • Establish metrics to benchmark Generative AI issues and quantify improvements, develop datasets and run evaluations for engineers to evaluate and improve Search, Labs, and Assistant products, and perform data analyses to derive insights that help identify and fight abuse.

  • Use technical judgment to drive project delivery, challenge proposals, and identify risks. Manage multiple projects and scope against crashed timelines.

  • Improve tools through data analysis, technical expertise, and presentations, as well as enhance operational workflows via process improvements and identification of automation opportunities.

  • Analyze and debug escalations, identify trends that can indicate product risks, and perform on-call responsibilities on a rotating basis, including weekend coverage.

  • Review graphic, controversial, and offensive/sensitive content as needed.



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 .

About the job

Minimum qualifications:

  • Bachelor's degree in Computer Science, Engineering, Statistics, Mathematics, a related discipline, or equivalent practical experience.

  • 4 years of experience working with analytical tools or data analysis (e.g., SQL, Python, business Intelligence/dashboards).


Preferred qualifications:

  • Experience working with spam, fraud, or malware.

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

  • Experience using statistical analysis and hypothesis testing.

  • Experience analyzing machine learning models performance or working on Large Language Models (LLM).

  • Excellent influencing skills, with the ability to work in a dynamic environment.


About The Job

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.

The Trust and Safety team is working with technologies in order to keep users safe and improve the quality of Google's products. As part of the team, you will develop and manage cross-functional relationships with Engineering, Product, Legal, and Operations teams in efforts to improve processes for identifying and resolving policy and quality issues on Generative AI products.

In this role, you'll be responsible for the execution of projects with a diverse group of stakeholders. You will analyze market trends, set forward-looking strategy, and implement scaled solutions to solve user safety and quality issues, and ensure a positive user experience across Generative AI products.

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 diverse 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.

Responsibilities

  • Establish metrics to benchmark Generative AI issues and quantify improvements, develop datasets and run evaluations for engineers to evaluate and improve Search, Labs, and Assistant products, and perform data analyses to derive insights that help identify and fight abuse.

  • Use technical judgment to drive project delivery, challenge proposals, and identify risks. Manage multiple projects and scope against crashed timelines.

  • Improve tools through data analysis, technical expertise, and presentations, as well as enhance operational workflows via process improvements and identification of automation opportunities.

  • Analyze and debug escalations, identify trends that can indicate product risks, and perform on-call responsibilities on a rotating basis, including weekend coverage.

  • Review graphic, controversial, and offensive/sensitive content as needed.



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 .

About the job

Minimum qualifications:

  • Bachelor's degree in Computer Science, Engineering, Statistics, Mathematics, a related discipline, or equivalent practical experience.

  • 4 years of experience working with analytical tools or data analysis (e.g., SQL, Python, business Intelligence/dashboards).


Preferred qualifications:

  • Experience working with spam, fraud, or malware.

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

  • Experience using statistical analysis and hypothesis testing.

  • Experience analyzing machine learning models performance or working on Large Language Models (LLM).

  • Excellent influencing skills, with the ability to work in a dynamic environment.


About The Job

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.

The Trust and Safety team is working with technologies in order to keep users safe and improve the quality of Google's products. As part of the team, you will develop and manage cross-functional relationships with Engineering, Product, Legal, and Operations teams in efforts to improve processes for identifying and resolving policy and quality issues on Generative AI products.

In this role, you'll be responsible for the execution of projects with a diverse group of stakeholders. You will analyze market trends, set forward-looking strategy, and implement scaled solutions to solve user safety and quality issues, and ensure a positive user experience across Generative AI products.

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 diverse 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.

Responsibilities

  • Establish metrics to benchmark Generative AI issues and quantify improvements, develop datasets and run evaluations for engineers to evaluate and improve Search, Labs, and Assistant products, and perform data analyses to derive insights that help identify and fight abuse.

  • Use technical judgment to drive project delivery, challenge proposals, and identify risks. Manage multiple projects and scope against crashed timelines.

  • Improve tools through data analysis, technical expertise, and presentations, as well as enhance operational workflows via process improvements and identification of automation opportunities.

  • Analyze and debug escalations, identify trends that can indicate product risks, and perform on-call responsibilities on a rotating basis, including weekend coverage.

  • Review graphic, controversial, and offensive/sensitive content as needed.



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 .

About Company

A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.Check out our career opportunities at goo.gle/3DLEokh

Total Employees

279,418

Company 2-Year Growth

15%

Median Employee Tenure

4.3 years

Because no one goes to school
for fighting fraud.