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Google
Google

Organizing the world's information and making it universally accessible.

Tech Lead Manager, Web Platform and Features, NotebookLM

职能全栈
级别Lead级
方式现场办公
类型全职
发布3周前
立即申请
  • Balance the maintenance of our existing high-quality user experience with the integration of AI and agentic workflows.

  • Partner decisively with Product and UX teams to design clear, intuitive interfaces that make complex AI behaviors accessible to our monthly active users.

  • Recruit and manage a high-performance team of action-biased engineers who utilize AI-assisted workflows to rapidly prototype and iterate.

  • Drive alignment and output in an undefined product area by providing methodical, opinionated technical direction for zero-to-one features.

  • Leverage your infrastructure background to bridge research-grade AI models with the reliability and scale required for production Google web systems.

  • Bachelor's degree or equivalent practical experience.

  • 8 years of experience in software development.

  • 7 years of experience with full stack development, across the back-end such as Java, Python, GO, or C++ codebases, and front-end experience including JavaScript or TypeScript, HTML, CSS, or equivalent.

  • 5 years of experience in a technical leadership role.

  • 5 years of experience in a people management or team leadership role.

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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

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

Mid/L4 · Accessibility Analyst

1份报告

$214,500

年薪总额

基本工资

$165,000

股票

-

奖金

-

$214,500

$214,500

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