
Organizing the world's information and making it universally accessible.
Policy Enforcement Manager, Threat Investigations
福利待遇
•医疗保险
•股权
•育儿假
•弹性工作
必备技能
Node.js
React
TypeScript
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.
YouTube’s Trust and 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 and 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 oversee emerging threats to the YouTube platform and user base, and build operations to mitigate these threats at scale. These may include financially motivated abuse, platform manipulation, influence operations, and other deceptive practices.At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we listen, share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun — and we do it all together.
Responsibilities
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Design and implement integrations between business objectives and business systems, including designing and building strategies that support these business systems.
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Conduct analysis, optimize business performance, and deliver within related product areas. Analyze data, identify trends, and develop solutions that improve business performance.
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Manage projects involving multiple stakeholders, tight timelines, important organizational implications, and changing circumstances.
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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
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Bachelor's degree or equivalent practical experience.
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2 years of experience in data analytics, Trust and Safety, policy, cybersecurity, or related fields.
Preferred qualifications
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Master's degree in a related field.
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Experience with machine learning.
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Experience in SQL, building dashboards, data collection/transformation, visualization/dashboards, or scripting/programming language (e.g., Python).
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Experience in two of the following areas: program management, operations management, escalation management, stakeholder management.
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Experience in content policy, anti-abuse, and reviewing online content.
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Excellent problem-solving skills, including using data to drive strategy and business action with SQL and spreadsheets.
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关于Google

Google specializes in internet-related services and products, including search, advertising, and software.
10,001+
员工数
Mountain View
总部位置
$1,700B
企业估值
评价
10条评价
4.5
10条评价
工作生活平衡
3.2
薪酬
4.3
企业文化
4.1
职业发展
4.2
管理层
3.8
82%
推荐率
优点
Great benefits and perks
Innovative and interesting work
Career development and learning opportunities
缺点
High pressure and expectations
Long hours and heavy workload
Fast-paced and overwhelming environment
薪资范围
57,503个数据点
Mid/L4
Senior/L5
Mid/L4 · Technical Program Manager
1,213份报告
$365,196
年薪总额
基本工资
$187,658
股票
$130,822
奖金
$46,717
$242,776
$576,787
面试评价
9条评价
难度
3.4
/ 5
时长
14-28周
录用率
44%
体验
正面 0%
中性 56%
负面 44%
面试流程
1
Application Review
2
Online Assessment/Technical Screen
3
Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
常见问题
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Product Sense
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