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职位Google

Business Planning and Pricing Principal, Cloud

Google

Business Planning and Pricing Principal, Cloud

Google

·

On-site

·

Full-time

·

1w ago

About the job

Product and Business Strategy Leaders bring together teams across Google’s functions to help products execute optimally. Our team pushes Google to scale at key points that refine our products and infrastructure by executing efficiently, bringing solid business sense and sound judgment, and working effectively across organizational lines.

Our roles often include components of strategy (e.g. analyzing and understanding new trends in the industry, building business plans), operations (e.g. running the cadence of organizations, connecting the operating lines between our functions), and communications. Our team partners with senior leadership to run important functions that cross-cut our existing organizations and deliver high impact projects. We help Engineers, PMs, UX, and all of our other functions to build amazing products that delight our users, and then get those products into their hands.

The US base salary range for this full-time position is $150,000-$218,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

  • Collaborate with Google Cloud’s leadership across functions to prioritize and define innovative packaging and pricing architecture for Google Cloud Products and Services.

  • Create business generation principles, frameworks, and policies at scale across core AI product portfolios.

  • Develop and leverage engagement and customer insights to inform business generation strategies.

  • Establish pricing policies and structures across customer segments and channel structures.

  • Leverage policies and structures to ensure business generation and customer satisfaction with products and solutions, and use them as a lever to differentiate Google Cloud and drive market disruption.

Minimum qualifications

  • Bachelor's degree or equivalent practical experience.

  • 8 years of experience in management consulting, product management and strategy, or analytics in a technology company.

  • Experience working with and analyzing data, and managing multiple projects.

  • Experience in product strategy, financial analysis, business generation strategy, economics, executive communication, and go-to-market strategies.

Preferred qualifications

  • Advanced degree or equivalent practical experience.

  • Experience with R, SQL, spreadsheets, or similar analytics tools.

  • Experience working with product and engineering teams.

  • Excellent written and verbal communication skills.

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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

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