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Director, Customer Engineering, AI Infrastructure, Google Cloud, APAC

Google

Director, Customer Engineering, AI Infrastructure, Google Cloud, APAC

Google

·

On-site

·

Full-time

·

1w ago

  • Lead, mentor, develop, and inspire a team of executive customer engineers and field solution architects, providing deep expertise on Google AI technology and infrastructure and fostering a culture of collaboration, innovation, and high performance.

  • Support Google Cloud sales teams to incubate, pilot, and deploy Google Cloud’s leading AI offering and industry-leading AI accelerators (i.e., TPU and GPU) at AI natives and innovators, large enterprises, and early stage AI startups.

  • Help customers innovate faster with solutions using Google Cloud’s AI technology and AI infrastructure accelerators (i.e., GPU and TPU).

  • Align with multiple AI functions including product engineering, product infrastructure, cloud sales, and demand management.

  • Facilitate C-level relationships with APAC AI and infrastructure customers, leveraging the understanding of AI markets, industry trends, and the narrative about Google AI and infrastructure.

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

  • 15 years of experience in a customer-facing technical role (e.g., customer engineering, solutions architecture, or consulting).

  • 10 years of experience in developing AI concepts, technologies, and platforms, including machine learning algorithms, deep learning frameworks (e.g., Tensor Flow, Py Torch, Jax and Kera), and AI infrastructure (GPUs and TPUs) in addition to programming frameworks like Python.

  • 5 years of experience leading and managing technical teams in a geographically dispersed environment.

  • Experience working with digital natives and enterprise customers in addition to building relationships with stakeholders.

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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