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职位Google

Agentic Workplace Transformation Engineer

Google

Agentic Workplace Transformation Engineer

Google

·

On-site

·

Full-time

·

1w ago

  • Work on identifying and qualifying business opportunities, key customer technical objections, and developing strategy to resolve technical blockers.

  • Architect solutions that leverage the Gemini Enterprise to automate complex, end-to-end customer workflows. Drive the technical adoption of Gemini Enterprise, including managing proof-of-concept work for pre-built and custom AI agents (no-code and code-based) built on the platform.

  • Educate partners and customers on leveraging agentic capabilities using Gemini Enterprise including integrations with third-party data sources.

  • Educate partners on the power of Google Workspace and enable them to drive technical innovation for our customers. Help partners develop technology direction for the Google Workspace solutions they want to take to market.

The Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.

As an Agentic Workplace Transformation Engineer in the growing Small and Medium Businesses and mid-market segment, you will play a key role in understanding the needs of our customers and playing a part in their digital transformation journey. You deliver what is most helpful for the customer. You assist fellow sales Googlers by problem-solving key technical issues for our customers. You liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhancements to Google Workspace and Gemini Enterprise.

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.

  • Bachelor's degree in Computer Science, Artificial Intelligence, a related technical field, or equivalent practical experience.

  • 4 years of experience working on agentic applications and productivity software.

  • Experience in technical cloud ecosystems on enterprise productivity solutions, and with related solutions (e.g., messaging, productivity applications, identity management, endpoint management).

  • Experience in designing, building, or implementing agentic AI solutions to automate 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

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

Mid/L4

Principal/L7

Senior/L5

Staff/L6

Director

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