Join gTech's Professional Services team, an innovative and customer-focused group dedicated to delivering exceptional solutions for leading advertisers and publishers. We bridge the gap between Google's cutting-edge products and our customers' business objectives by providing expert technical implementation, optimization, and strategic guidance. Our mission is to empower customers with the full potential of Google's offerings, fostering long-term success and capability building.

Our global teams act as trusted advisors, combining deep technical expertise, comprehensive product knowledge, and a nuanced understanding of complex customer needs. Whether crafting unique solutions for specific challenges or developing scalable tools, our work ensures clients maximize their benefit from Google products.

As a Customer Solutions Engineer, you will be instrumental in defining and implementing solutions that drive customer success. Your role involves gathering requirements, offering expert guidance, and establishing best practices for ad products and technologies.

You will be tasked with proactively scoping, designing, and building globally reusable solutions. This includes adapting existing regional solutions into scalable, worldwide offerings that can serve thousands of customers. You will own the entire lifecycle of these solutions, from initial discovery and launch through ongoing maintenance, bug fixes, feature enhancements, and eventual deprecation.

We are seeking candidates with a Bachelor’s degree in Engineering, Computer Science, or a related technical field, or equivalent practical experience. A minimum of 3 years is required in client-side web technologies like HTML, CSS, JavaScript, or HTTP, as well as 3 years of coding experience in at least one major programming language (e.g., Java, C/C++, Python).

Experience in troubleshooting technical issues for partners or customers is essential. Preferred qualifications include a Master’s degree in a relevant field and experience with database technologies (SQL, NoSQL) and cloud platforms. Familiarity with technical troubleshooting, managing partners, and analytical roles like business intelligence or data analytics is also highly valued.