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Customer Engineering Manager, Google Cloud

Google

Customer Engineering Manager, Google Cloud

Google

·

On-site

·

Full-time

·

2w ago

About the job

As a Customer Engineering (CE) Manager, you will lead and deploy a team of subject matter experts responsible for working alongside customers to provide trusted advice to accelerate workload migration and remove technical blockers. You will foster a culture of technical ownership and understand the mechanics of architecture, delivery, and consumption across the Google Cloud portfolio.

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

  • Lead a team of customer engineers, focusing on team culture, talent strategy, and skills development to deliver cloud transformation outcomes for customers and accelerate value realization.

  • Foster customer partnership and provide thought leadership related to cloud, cross-pillar solutions, and expansion opportunities to drive technical wins.

  • Partner with the Sales team to define technical go-to-market strategies and delivery plans, with a focus on winning new workloads and driving consumption within existing ones.

  • Balance technical leadership with operational excellence; lead workload and opportunity review meetings and provide insight into how to achieve a technical agreement and migration strategy, working directly with customers, partners, and prospects.

  • Work cross-functionally across Google, partners, and the team to resolve technical roadblocks.

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 with technical conversations, demos, prototyping, or workshops with customers.

  • Experience in a leadership role (e.g., people management, team lead, mentorship, or coaching).

  • Experience with cloud engineering, on-premise engineering, infrastructure, security, virtualization, or containerization platforms.

Preferred qualifications

  • Experience with software lifecycles, building tools, and architecting/developing software for scalable, distributed systems (e.g., data platform, AI/ML, infrastructure).

  • Experience as a pre-sales manager or technical customer-facing people manager within a professional services or sales engineering team.

  • Experience managing a team through pre-sales processes and career development (e.g., account mapping, quota setting, performance management, managing sensitive information).

  • Experience engaging with, and presenting to, technical stakeholders/executive leaders (e.g., delivering compelling messages by audience, asking strategic questions, leading conversations that drive accelerated value realization and business opportunity).

  • Experience driving delivery and consumption plans for cross-pillar cloud solutions.

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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

L3

L4

L5

L6

L7

L8

Mid/L4

Principal/L7

Senior/L5

Staff/L6

Director

Junior/L3 · Data Scientist L3

0 reports

$176,704

total per year

Base

-

Stock

-

Bonus

-

$150,298

$203,110

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