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Product Support Engineer, University Graduate, 2026
placeHyderabad, Telangana, India
·
On-site
·
Full-time
·
1mo ago
Benefits & Perks
•Competitive salary and equity package
•Comprehensive health, dental, and vision insurance
•Parental leave
•Team events and activities
•Generous paid time off and holidays
•Equity
•Healthcare
•Parental Leave
Required Skills
Python
JavaScript
TypeScript
About the job
g Tech Ads is responsible for all support and media and technical services for customers big and small across our entire Ad products stack. We help our customers get the most out of our Ad and Publisher products and guide them when they need help. We provide a range of services from enabling better self help and in-product support, to providing better support through interactions, setting up accounts and implementing ad campaigns, and providing media solutions for customers business and marketing needs and providing complex technical and measurement solutions along with consultative support for our large customers. These solutions range from bespoke and customized ones for our customers to scalable support for millions of customers worldwide. Based on the evolving needs of our ads customers, we partner with Sales, Product and Engineering teams within Google to develop better solutions, tools, and services to improve our products and enhance our client experience. As a cross-functional and global team, we ensure our customers get the best return on investment with Google and we remain a trusted partner.
Google creates products and services that make the world a better place, and g Tech’s role is to help bring them to life. Our teams of trusted advisors support customers globally. Our solutions are rooted in our technical skill, product expertise, and a thorough understanding of our customers’ complex needs. Whether the answer is a bespoke solution to solve a unique problem, or a new tool that can scale across Google, everything we do aims to ensure our customers benefit from the full potential of Google products.
To learn more about gTech, check out our video.
Responsibilities
- Apply subject matter expertise in Google's AI-driven ad products, with a focus on performance max, by understanding intricate functionalities to provide guidance and troubleshooting effectively.
Minimum qualifications
-
Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
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Experience with data/SQL and web technologies.
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Ability to work non-standard working hours in line with customer requirements.
Preferred qualifications
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Experience in business analysis to conduct analytics, develop dashboards, and make recommendations
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Experience working in technical product/cloud support/quality engineering/Site Reliability Engineering (SRE).
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Experience using Google Ads or other online advertising solutions and the media/tech landscape.
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Experience in technical troubleshooting or customer support in a tech organization, and customer-facing experience translating technical concepts and solutions to non-technical and executive audiences.
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Experience in solving issues and developing tactical perspectives on customer-focused solutions.
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Excellent customer first and empathetic mindset, and ability to own end-to-end experience and solutions.
Total Views
4
Apply Clicks
3
Mock Applicants
0
Scraps
0
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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
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
63,375 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 / 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
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