Google Product Support Engineer Hyderabad 2026 opening under the prestigious gTech Ads division is a dream early-career opportunity for university graduates to join the world’s most admired technology company. Google is hiring a Product Support Engineer (University Graduate, 2026) at its Hyderabad center to apply subject matter expertise in Google’s AI-driven ad products, develop automation tools for diagnostics, and deliver outstanding customer support to global advertisers, agencies, and sales teams. If you have a strong foundation in SQL, web technologies, and technical troubleshooting, and thrive in a customer-first, cross-functional environment, this exceptional role at Google gTech Ads is your ultimate career launchpad in 2026.
Job Details
| Company | |
| Job Role | Product Support Engineer – University Graduate 2026 |
| Location | Hyderabad, Telangana, India |
| Experience | Freshers / University Graduates 2026 |
| Salary | As per Google’s industry-leading compensation standards |
| Employment Type | Full-time |
| Last Date to Apply | As per official notification |
About The Company
Google LLC is the world’s most valuable technology company, founded in 1998 by Larry Page and Sergey Brin, headquartered in Mountain View, California, USA, and a subsidiary of Alphabet Inc. Google’s Hyderabad office is one of the company’s largest and most strategic engineering and operations hubs in Asia, housing thousands of engineers, product specialists, and support professionals across Search, Ads, Cloud, and Maps divisions. The gTech Ads team is responsible for all support, media, and technical services for Google’s advertising customers globally — from self-serve advertisers to the world’s largest brands — ensuring maximum ROI from Google’s advertising products and driving the future of AI-powered digital advertising.
Eligibility Criteria
Education: Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience
Experience: University Graduate / Fresher — 2026 pass-out
Mandatory Skills:
- Hands-on experience with data analysis and SQL — querying, joins, aggregations, and data-driven insights
- Knowledge of web technologies — HTML, CSS, JavaScript, APIs, and browser debugging tools
- Ability to work non-standard working hours in line with global customer requirements
Preferred Skills:
- Experience in business analysis — conducting analytics, developing dashboards, and making data-backed recommendations
- Experience in technical product support, cloud support, quality engineering, or Site Reliability Engineering (SRE)
- Familiarity with Google Ads or other online advertising solutions and the media/tech landscape
- Experience in technical troubleshooting or customer support in a tech organization
- Ability to translate technical concepts into clear solutions for non-technical and executive audiences
- Excellent customer-first and empathetic mindset with ability to own end-to-end experience and solutions
- Problem-solving experience with customer-focused tactical perspectives
Roles & Responsibilities
- Apply subject matter expertise in Google’s AI-driven ad products — with a focus on Performance Max — to provide effective guidance and troubleshooting for advertisers and partners
- Develop and implement automation tools for diagnostics and debugging, streamlining support processes and enhancing efficiency for faster resolution times
- Prioritize and deliver outstanding customer service throughout the advertiser journey — troubleshooting and resolving issues for Google’s advertisers, sales teams, agencies, and partners
- Analyze data and insights to create action plans addressing root-cause issues, with focus on knowledge management, operational improvements, account reviews, and product adoption
- Partner with Sales, Product, Engineering, and cross-functional teams to continuously improve the client journey, resolve complex issues, and understand customer pain points
- Contribute to building scalable support solutions for millions of Google Ads customers worldwide
- Develop deep expertise in Google Ads ecosystem — Search, Display, Video, Shopping, Performance Max — to support customers in getting maximum value from Google’s advertising products
Selection Process
- Online Application Screening – Resume shortlisting based on technical skills, SQL/web tech experience, and educational background
- Online Cognitive & Technical Assessment – Analytical reasoning, SQL problem-solving, and web technology fundamentals
- Technical Interview Round 1 – SQL queries, data analysis, web debugging, and basic troubleshooting scenarios
- Technical Interview Round 2 – Product support case studies, automation thinking, Google Ads knowledge, and system design basics
- Googleyness & Leadership Round – Customer empathy, cross-functional collaboration, problem-solving mindset, and cultural values assessment
- Hiring Committee Review – Google’s structured hiring process with multi-panel evaluation
- Offer & Onboarding – Industry-leading compensation, equity, and world-class benefits package
How to Apply For Google Product Support Engineer Hyderabad 2026
- Visit the official Google Careers portal: Link Given Below
- Click “Apply” and sign in or create your Google careers account
- Upload your updated resume highlighting SQL, web technologies, technical troubleshooting, Google Ads knowledge, and any customer support or analytics experience
- Complete the application form and submit
- Monitor your registered email for Google recruiter communication, assessment links, and interview scheduling
Preparation Tips
- Master SQL for analytics roles — Google interviews frequently test complex SQL: window functions (RANK, LAG, LEAD, NTILE), CTEs, CASE WHEN logic, and multi-table JOIN optimizations; practice on platforms like LeetCode, Mode Analytics, or StrataScratch
- Learn Google Ads fundamentals deeply — earn the Google Ads Search, Display, and Measurement certifications on Google Skillshop (free) to demonstrate hands-on platform knowledge; focus on Performance Max campaign structure, bidding strategies, and conversion tracking
- Build web debugging skills — practice using Chrome DevTools for network inspection, console error debugging, HTML/CSS element inspection, and JavaScript execution tracing as these are directly tested in gTech support scenarios
- Study Performance Max (PMax) architecture — understand how Google’s AI-driven PMax campaigns work across all Google inventory (Search, YouTube, Display, Gmail, Maps), asset group optimization, and audience signals
- Prepare customer empathy scenarios — Google’s Googleyness round specifically evaluates how you handle frustrated customers, translate complex technical issues to non-technical stakeholders, and maintain a customer-first approach under pressure
- Practice data-to-insights storytelling — be ready to present a mock analysis: “Given this advertiser’s performance data, what’s causing the drop in conversions and what actions would you recommend?” — structured analytical narratives are key in gTech interviews
- Study SRE and cloud support basics — familiarity with uptime monitoring, incident response, error rate analysis, and cloud infrastructure concepts (GCP preferred) strengthens your profile for the technical support engineering dimension of this role
- Contribute to open-source or build portfolio projects — a GitHub portfolio with SQL analysis projects, web scraping tools, or automation scripts (Python) signals the engineering mindset Google values in PSE roles
Important Dates
| Application Start Date | March 2026 (Active Posting) |
| Last Date to Apply | As soon as possible |
| Exam/Interview Date | Shortlisted candidates will get email communication |
