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Google
Google

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

Outcome Customer Engineer, SaaS Delivery

职能前端
级别中级
方式现场办公
类型全职
发布3个月前
立即申请

福利待遇

弹性工作

股权

医疗保险

必备技能

Python

PostgreSQL

React

About the job

As a SaaS Outcome Customer Engineer (OCE), you will drive initial and ongoing revenue ramp for our SaaS customers, clearing blockers and ensuring they get the maximum benefit from their investment faster. You will manage and execute the deployment plan, transitioning scoped license agreements into production by providing technical leadership to customers and partners. You will have a direct impact on the velocity and incremental consumption of customer license agreements, leading to accelerated value realization, higher adoption, and future expansion opportunities.

You will blend sales expertise, market knowledge, direct technical engagement, and technical project management to prove the value of Google Cloud SaaS products.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Responsibilities

  • Develop and orchestrate a structured, end-to-end deployment plan across customer and partner teams, onboarding the implementation team, clearing blockers, managing timelines and progress, and ensuring readiness (e.g., capacity, training).

  • Resolve technical blockers and accelerate deployment.

  • Drive and track progress of the initial and ongoing ramp of license agreements, moving customers from agreement to consumption as quickly as possible.

  • Identify expansion opportunities for new license agreements within the account during project execution.

  • Drive sustainable product usage to help customers realize value on an ongoing basis and secure future contract renewals.

Minimum qualifications

  • Bachelor's degree or equivalent practical experience.

  • 10 years of experience with cloud native architecture in a customer-facing or support role.

  • Experience in deployment planning, orchestration, or change management.

  • Experience engaging with, presenting to, or influencing technical stakeholders or executive leaders.

  • Experience with programming languages, debugging, or systems design.

Preferred qualifications

  • Experience in one or more of the following: Infrastructure Modernization, Application Modernization, Data Management, Data Analytics, Cloud AI, Networking, Migrations or Security.

  • Experience with Google Cloud products and differentiating from competition.

  • Experience working with product and support teams to resolve technical blockers.

  • Experience with object-oriented programming languages (i.e. Python, Java), and using technical proficiencies to remove blockers and accelerate customer delivery.

  • Experience with development or implementation of AI agents in an enterprise environment.

  • Experience guiding customers through the organizational change and delivery preparation needed to adopt new, cloud-powered business processes.

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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