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トレンド企業

トレンド企業

採用

求人Google

Senior Content Adversarial Red Team Analyst

Google

Senior Content Adversarial Red Team Analyst

Google

·

On-site

·

Full-time

·

2mo ago

福利厚生

Equity

Healthcare

Flexible Hours

Parental Leave

必須スキル

Node.js

React

TypeScript

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.
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.

Responsibilities

  • Design and implement integrations between business objectives and business systems, including designing and building strategies that support these business systems.

  • Conduct analysis, improve business performance, and deliver within relevant product areas. This includes analyzing data, identifying trends, and developing solutions that improve business performance.

  • Manage projects involving multiple stakeholders, timelines, important organizational implications, and changing circumstances.

  • Use Google’s big data to conduct data-oriented analysis, architect metrics, synthesize information, solve problems, and influence business decision-making by presenting insights and market trends.

Minimum qualifications

  • Bachelor's degree or equivalent practical experience.

  • 7 years of experience in data analytics, Trust and Safety, policy, cybersecurity, or related fields.

Preferred qualifications

  • Master's degree or PhD.

  • Experience in SQL, building dashboards, data collection/transformation, visualization/dashboards, or experience in a scripting/programming language (e.g. Python).

  • Experience in adversarial testing, red teaming, jailbreaking, ethical hacking.

  • Experience with content safety for users under 18.

  • Understanding the AI systems, AI responsibility and Machine Learning.

  • Excellent communication and presentation skills and the ability to influence cross-functionally at various levels.

総閲覧数

1

応募クリック数

0

模擬応募者数

0

スクラップ

0

Googleについて

Google

Google

Public

Google specializes in internet-related services and products, including search, advertising, and software.

10,001+

従業員数

Mountain View

本社所在地

$1,700B

企業価値

レビュー

3.7

25件のレビュー

ワークライフバランス

3.8

報酬

4.2

企業文化

3.4

キャリア

3.9

経営陣

2.8

68%

友人に勧める

良い点

Excellent compensation and benefits

Smart and talented colleagues

Great perks and work flexibility

改善点

Management and leadership issues

Bureaucracy and slow processes

Constantly changing priorities and reorganizations

給与レンジ

57,502件のデータ

Junior/L3

L3

L4

L5

L6

L7

L8

Mid/L4

Principal/L7

Senior/L5

Staff/L6

Director

Junior/L3 · Data Scientist L3

0件のレポート

$176,704

年収総額

基本給

-

ストック

-

ボーナス

-

$150,298

$203,110

面接体験

9件の面接

難易度

3.4

/ 5

期間

14-28週間

内定率

44%

体験

ポジティブ 0%

普通 56%

ネガティブ 44%

面接プロセス

1

Application Review

2

Online Assessment/Technical Screen

3

Phone Screen

4

Onsite/Virtual Interviews

5

Team Matching

6

Offer

よくある質問

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Product Sense