招聘
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Drive the development of AI-powered solutions that proactively identify potential violations, explain policies clearly, and guide creators through automated remediation workflows.
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Enable the safe expansion of creator tools to broader audiences by designing abuse-mitigation frameworks that balance risk reduction with ecosystem growth.
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Collaborate with Engineering, UX, Data Science, Youth Trust and Safety Operations, and GAPP, Public Relations, Legal teams to navigate safety issues and deliver seamless, transparent creator experiences.
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Define the product goal, strategy, and requirements for creator policy experience products, transforming policy interactions from blockers into educational opportunities that empower creators.
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Bachelor's degree or equivalent practical experience.
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3 years of experience in product management, engineering, or a related technical role.
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2 years of experience taking consumer products from conception to launch, including defining product requirements, strategy, and roadmap.
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Experience working with cross-functional teams (e.g., Engineering, UX/UI, Data Science) to drive product execution.
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Experience applying AI/ML technologies and data-driven insights to solve user problems.
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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
3.7
25条评价
工作生活平衡
3.8
薪酬
4.2
企业文化
3.4
职业发展
3.9
管理层
2.8
68%
推荐给朋友
优点
Excellent compensation and benefits
Smart and talented colleagues
Great perks and work flexibility
缺点
Management and leadership issues
Bureaucracy and slow processes
Constantly changing priorities and reorganizations
薪资范围
57,502个数据点
Junior/L3
L3
L4
L5
L6
L7
L8
L9
Mid/L4
Principal/L7
Senior/L5
Staff/L6
VP
Intern
Director
Junior/L3 · Associate Product Manager 2 (APM2)
0份报告
$183,233
年薪总额
基本工资
-
股票
-
奖金
-
$155,748
$210,718
面试经验
9次面试
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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