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职位Google

Engineering Manager, Sharing and Groups AI

Google

Engineering Manager, Sharing and Groups AI

Google

·

On-site

·

Full-time

·

1w ago

  • Own the strategy, scoping, and long-term technical goal for sharing infrastructure, ensuring architectural decisions align with organizational priorities. Clarify, make tractable, and drive complex, ambiguous technical roadmaps.

  • Lead Engineering teams in designing and optimizing scalable sharing infrastructure and UI primitives to drive ecosystem growth for Gemini and other strategic Google products.

  • Serve as the primary engineering lead, exhibiting leadership and influencing designs across multiple groups, partnering closely with product management, UX, and data science to bridge system architecture with product strategy.

  • Support the team to strategically leverage AI/ML tools to enhance team creativity, collaboration, and engineering velocity.

  • Hire, coach, and mentor a high-performing Engineering team, fostering career development and a culture of technical excellence.

  • Bachelor's degree or equivalent practical experience.

  • 8 years of experience in JavaScript, web applications, and front-end development.

  • 8 years of experience in people management.

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关于Google

Google

Google

Public

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

Mid/L4

Principal/L7

Senior/L5

Staff/L6

Director

Junior/L3 · Data Scientist L3

0份报告

$176,704

年薪总额

基本工资

-

股票

-

奖金

-

$150,298

$203,110

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