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Google

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

Global Lead, Incentives Infrastructure and Development, YouTube

职能产品
级别Lead级
方式现场办公
类型全职
发布1个月前
立即申请

About the job

At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we listen, share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun — and we do it all together.

The US base salary range for this full-time position is $183,000-$265,000 + 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

  • Lead and mentor a team of technical analysts to ensure the delivery of analytics and technical infrastructure to power the global YouTube partner manager incentives infrastructure.

  • Own the strategy for incentives development, delivering engaging roadmaps and executive communications to align leadership and cross-functional partners.

  • Partner with engineering, product activation, and analytics teams to ensure the seamless delivery and integration of technical solutions.

  • Oversee the full development lifecycle from initial prototyping to launch and maintenance, serving as a "player-coach".

  • Advocate industry best practices across the technical community, driving advancements in AI-driven workflows, data modeling, and code review while leading continuous internal process improvements.

Minimum qualifications

  • Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.

  • 7 years of experience in designing and building technical systems that utilize relational databases (e.g., SQL) and programming in languages such as Python, Java, or C++.

  • 2 years of experience in people management.

  • 2 years of experience in managing projects and presenting to the stakeholders.

Preferred qualifications

  • Master’s degree in Business, Statistics, Mathematics, Economics, Engineering or Applied Science, or a related field.

  • 10 years of experience delivering impact in technical roles.

  • Experience in management consulting, investment banking, private equity, or similar.

  • Experience working in a cross-functional environment across multiple teams, including product and engineering teams.

  • Ability to formulate data-driven proposals along with excellent problem-solving skills.

  • Excellent project management and leadership 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

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

Junior/L3

L6

L7

L8

L9

Mid/L4

Principal/L7

Senior/L5

Staff/L6

VP

Intern

Director

L3

L4

L5

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