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AI Customer Engineer (English)

Google

AI Customer Engineer (English)

Google

·

On-site

·

Full-time

·

1w ago

  • Build partner specific, go-to-market (GTM) solutions to reduce business cycles and drive partner business as measured through pipeline and business growth.

  • Own the technical relationship with partners, empowering them to drive a successful pilot or proof of concept, support partners drive toward customer acceptance of the technical proposal, leading to an agreement, and work with partners during the migration phase to assure they have all the tools necessary to deliver a successful deployment.

  • Build trusted advisory relationships and make recommendations on integration strategies, enterprise architectures, platforms, and application infrastructure required to successfully implement a complete solution, and provide best practice advice to customers to optimize Google Cloud effectiveness.

  • Bachelor's degree or equivalent practical experience.

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

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

  • Ability to communicate in English fluently to support client relationships in this region.

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About Google

Google

Google

Public

Google specializes in internet-related services and products, including search, advertising, and software.

10,001+

Employees

Mountain View

Headquarters

$1,700B

Valuation

Reviews

3.7

25 reviews

Work-life balance

3.8

Compensation

4.2

Culture

3.4

Career

3.9

Management

2.8

68%

Recommend to a friend

Pros

Excellent compensation and benefits

Smart and talented colleagues

Great perks and work flexibility

Cons

Management and leadership issues

Bureaucracy and slow processes

Constantly changing priorities and reorganizations

Salary Ranges

57,502 data points

Junior/L3

Mid/L4

Junior/L3 · Account Manager

955 reports

$235,140

total per year

Base

$138,750

Stock

$55,227

Bonus

$41,164

$148,728

$383,799

Interview experience

9 interviews

Difficulty

3.4

/ 5

Duration

14-28 weeks

Offer rate

44%

Experience

Positive 0%

Neutral 56%

Negative 44%

Interview process

1

Application Review

2

Online Assessment/Technical Screen

3

Phone Screen

4

Onsite/Virtual Interviews

5

Team Matching

6

Offer

Common questions

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Product Sense