Join gTech's Professional Services team, renowned for its creative, collaborative, and customer-centric approach. We deliver essential services and innovative business solutions to leading advertiser and publisher clients. Through expert technical implementation, optimization, and tailored solutions, we empower customers to achieve their business objectives and build lasting capabilities.

Google is committed to creating products and services that positively impact the world. gTech plays a crucial role in bringing these innovations to life by providing global support to our customers. Our teams combine deep technical expertise, extensive product knowledge, and a profound understanding of complex customer needs. Whether it's developing a unique solution for a specific challenge or building scalable tools, our ultimate goal is to ensure customers maximize the benefits of Google products.

Proactively identify and develop a comprehensive suite of solutions and best practices for agencies and partners worldwide. Utilize engineering expertise to design and scale sophisticated, cross-product customized solutions, intended for global rollout to thousands of customers.

Gather requirements, offer expert guidance, share best practices, and propose innovative strategies for applying ad products and technologies. Drive progress towards agency, partner, and gTech business objectives.

A Bachelor's degree in Engineering, Computer Science, or a related discipline is required, or equivalent practical experience.

Demonstrate a minimum of three years' experience with client-side web technologies such as HTML, CSS, JavaScript, or HTTP.

Possess at least three years of coding experience in one or more programming languages, including Java, C/C++, or Python.

Experience in troubleshooting technical issues for internal or external partners and customers is essential.

Preferred qualifications include a Master's degree in Engineering, Computer Science, Business, or a related field, along with experience in analytical roles like business intelligence, data analytics, or statistics. Familiarity with database technologies (SQL, NoSQL) and cloud computing (architecting, developing, maintaining cloud solutions) is advantageous. Experience with machine learning, building related solutions, and working with ad tech products (ad server, DSPs, DMPs, web analytics) and understanding engineering solutions built for scale are also desirable.