Jobs
Benefits & Perks
•Learning and development stipend
•Flexible PTO policy
•Parental leave program
•Remote work flexibility
•Health, dental, and vision coverage
Required Skills
SQL
Airflow
Python
About the job
The AI and Infrastructure (AI2) organization’s mission is to empower customers with breakthrough capabilities and insights by delivering AI and infrastructure at unparalleled scale, efficiency, reliability, and velocity. We build the foundation behind Google and Google Cloud’s compute and AI/ML offerings. We manage the underlying design elements, developer platforms, product components, and infrastructure.
Google's customers are looking for a collaborative partner who can meet their innovative and ambitious needs efficiently, considering factors like language, time zones, availability, and proximity. To provide rapid support for Mandarin-speaking companies in both the Greater China Region (GCR) and Singapore, we are establishing a new development center in Singapore.
As the Director of Engineering for AI and Computing Infrastructure (ACI) Singapore, you will provide senior technical leadership for the site and be the engineering representative for our top customers in the region. You will lead teams focused on developing custom solutions for our largest and most critical customers. You'll build and lead a new organization, shape our presence in a critical market, and have a direct impact on the success of our most important customers.
You will be at the forefront of a proactive, solution-oriented partnership with our most strategic customers in the Greater China Region. You will lead teams tackling deep technical challenges across the stack, from low-level infrastructure systems to meeting the demanding benchmarking and optimization needs for the most cutting edge AI/ML workloads.
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
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Provide technical sponsorship for key accounts and work with cloud engineering and support leaders to address customer needs. Act as a single leader to provide a consolidated view of customer interactions and issues to cloud leadership.
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Collaborate with regional leaders (e.g., Customer Engineering, Support, GTM) on key accounts to strengthen strategic partnerships. Provide local support in process management around space, talent, and budgets.
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Interact with customers on-site to talk about the product roadmap and architecture.
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Lead a team of engineers focused on benchmarking, optimization, and providing advanced technical engagement for key customers in the region.
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Drive dedicated feature requests for GCR customers and provide engineering support where deep expertise is needed.
Minimum qualifications
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Bachelor's degree in Computer Science, Engineering, related discipline, or equivalent practical experience.
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15 years of experience in software engineering leadership.
Preferred qualifications
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Master's degree or PhD in Computer Science or a related field.
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Experience with GCP or other cloud providers and in developing and operating large-scale infrastructure systems with technical expertise in cloud computing (e.g., compute, storage, and AI/ML).
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Experience leading and managing high-performing engineering teams, effectively dealing with customer escalations, and driving resolutions to complex technical issues.
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Understanding of customer needs and ability to translate them into technical requirements and solutions.
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Excellent communication and collaboration skills with ability to work with cross-functional teams and stakeholders.
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Ability to communicate in Mandarin fluently to support customers in the region.
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About Google

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
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4.2
Culture
3.4
Career
3.9
Management
2.8
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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
63,375 data points
Junior/L3
L3
L4
L5
L6
L7
L8
Mid/L4
Principal/L7
Senior/L5
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Director
Junior/L3 · Data Scientist L3
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$176,704
total / year
Base
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Stock
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Bonus
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$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
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Technical Knowledge
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