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职位Google

Administrative Business Partner, Infrastructure Solutions Group

Google

Administrative Business Partner, Infrastructure Solutions Group

Google

·

On-site

·

Full-time

·

1w ago

  • Perform an extensive array of administrative tasks (e.g., manage calendars, book travel, expense reports, projects and events).

  • Have attention to detail, and work with ambiguity and execution vs. escalation. Act quickly to problem solve, be resourceful at prioritizing under stress.

  • Collaborate amongst other Executive/Administrative Business Partners. Work in a cross-functional environment, being a team player who is humble, looking for impact, and taking a high level of pride in their work.

  • Build efficiency and effective responsiveness into existing operations, and help define/improve new operational strategies.

  • Be a transparent, organized and trusted business partner, with the ability to think strategically.

  • 2 years of administrative experience in a technology or international environment working on core administrative tasks (e.g., travel management, expense reports, calendar management, facilities coordination, etc.).

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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

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