One of the world’s leading technology companies, Google, has opened applications for the Product Support Engineer – University Graduate (2026) role. This is an exciting opportunity for fresh graduates in engineering or computer science who want to build a career in cloud technologies, advertising platforms, and technical support.
The position is based in Hyderabad, one of India’s fastest-growing technology hubs. Selected candidates will work closely with Google’s internal teams and global clients to troubleshoot technical issues and optimize advertising solutions.
Job Overview
| Details | Information |
|---|---|
| Company | |
| Role | Product Support Engineer – University Graduate (2026) |
| Location | Hyderabad |
| Category | Technical Support / Cloud & Ads Technology |
| Working Hours | Flexible (may include non-standard hours depending on customer requirements) |
This role is part of gTech Ads, a team responsible for supporting Google’s advertising ecosystem and helping customers maximize the performance of their advertising campaigns.
Minimum Qualifications
To apply for this role, candidates should meet the following requirements:
- Bachelor’s degree in Engineering, Computer Science, or a related field
- Basic experience or knowledge in Data Analysis, SQL, and Web Technologies
- Ability to work in flexible or non-standard working hours to support global customers
Preferred Qualifications
While not mandatory, the following skills will strengthen your application:
- Experience in business analytics, dashboards, and data insights
- Knowledge of technical product support, cloud support, quality engineering, or Site Reliability Engineering (SRE)
- Familiarity with Google Ads or other digital advertising platforms
- Experience in technical troubleshooting and customer support
- Ability to explain technical solutions to non-technical stakeholders
- Strong problem-solving skills and customer-focused mindset
- Ability to create customer-driven solutions and operational improvements
About the gTech Ads Team
The gTech Ads team plays a crucial role in supporting businesses that use Google’s advertising platforms. The team helps companies of all sizes—from startups to global enterprises—achieve better results through Google’s advertising products.
Their responsibilities include:
- Helping customers set up and optimize ad campaigns
- Providing technical support and troubleshooting
- Offering data insights and performance recommendations
- Delivering advanced measurement and advertising solutions
The team also collaborates with Google’s Sales, Product, and Engineering teams to improve tools, develop scalable solutions, and enhance customer experience.
Key Responsibilities
1. Technical Expertise in Google Ads
Develop deep knowledge of Google’s AI-driven advertising products, particularly Performance Max campaigns, to assist customers with troubleshooting and optimization.
2. Automation and Process Improvement
Create automation tools for diagnostics and debugging, helping improve operational efficiency and reducing resolution time for customer issues.
3. Customer Support & Issue Resolution
Provide exceptional support to advertisers, agencies, partners, and Google’s internal sales teams by diagnosing and resolving technical issues effectively.
4. Data Analysis and Problem Solving
Analyze data insights to identify root causes of issues and develop action plans for improvements such as:
- Knowledge management
- Product adoption strategies
- Operational enhancements
- Account reviews
5. Cross-Team Collaboration
Work closely with Sales, Product, and Engineering teams to resolve complex issues, improve workflows, and enhance the overall customer experience.
Why Join Google?
Working at Google provides an opportunity to work with cutting-edge technologies and collaborate with global teams. Employees gain exposure to advanced advertising platforms, cloud technologies, and large-scale data systems while solving real-world business challenges.
This role is especially ideal for graduates who want to start their career in:
- Technical Support Engineering
- Cloud Technologies
- Digital Advertising Technology
- Data Analysis
- Site Reliability Engineering
