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Google
Google

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

Technical Program Manager, NPI, AI/ML

职能机器学习
级别Lead级
方式现场办公
类型全职
发布3周前
立即申请
  • Partner with key engineering leads/stakeholders, contribute to ML system roadmap by program managing complex projects, organizing cross-project work within the program, and defining program controls, governance, or standards.

  • Lead end-to-end development and landing of next-gen ML systems through NPI Product Life Cycle (PLC) process from concept to production and sustaining.

  • Drive a portfolio of tracks to make direct and measurable impact on customer adoption.

  • Partner with engineering leads and cross-functional teams to ensure that organization-wide Objectives and Key Results (OKRs) are set and reflect strategy as well as ensure projects are effectively prioritized, resourced, and managed.

  • Engage with executives and cross-functional leaders to strategize and drive ML hardware/system roadmap.

  • Bachelor's degree in a technical field, or equivalent practical experience.

  • 8 years of experience in program 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

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

Mid/L4

Principal/L7

Senior/L5

Staff/L6

Director

L3

L4

L5

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