招聘
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Own and articulate a goal to define a high-quality, inspiring, and trustworthy search experience. .
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Transform user modeling and personalization approaches to deliver tailored visual experiences.
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Guide the team to develop an understanding of the ranking architecture, ML models, and underlying quality systems (both heuristic and ML-based) to make informed decisions and drive innovation.
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Establish clear metrics and robust evaluation frameworks to assess search quality. Oversee the development and execution of evaluation methodologies, using both traditional and LLM-based techniques, to guide the team through complex trade-offs.
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Collaborate closely and strategically with partner teams across Google to ensure cohesive user experiences, leverage shared technologies, and align roadmaps.
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Bachelor's degree or equivalent practical experience.
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10 years of experience in product management or related technical role.
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5 years of experience taking technical products from conception to launch (e.g., ideation to execution, end-to-end, 0 to 1, etc).
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Experience with the domain area of Generative AI or Large Language Models.
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Experience with ranking recommendation, content retrieval systems, search, or machine learning model development.
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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
新闻动态
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1d ago
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