Join gTech's Professional Services team, a dynamic group that applies creativity, collaboration, and a customer-first mindset to deliver essential services and innovative business solutions for leading advertisers and publishers. By focusing on technical implementation, optimization, and tailored solutions, we empower customers to achieve their objectives and build lasting capabilities.

At Google, we're dedicated to creating products that positively impact the world, and gTech plays a vital role in bringing these innovations to life. Our global teams of expert advisors offer trusted support, leveraging deep technical expertise, product knowledge, and a profound understanding of our customers' unique challenges. Whether crafting bespoke solutions or developing scalable tools, our aim is to ensure every customer maximizes the potential of Google's products.

Proactively identify opportunities and develop comprehensive solutions and best practices for agencies and partners worldwide. Utilize engineering expertise to design and implement scalable, cross-product customized solutions, intended for global rollout to thousands of customers. Gather detailed requirements, offer expert guidance, share best practices, and propose innovative solutions leveraging ad products and technologies to advance agency/partner and gTech business objectives.

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

Possess at least 3 years of experience with client-side web technologies such as HTML, CSS, JavaScript, or HTTP.

Demonstrate 3 years of coding experience in one or more programming languages, including Java, C/C++, or Python.

Proven experience in troubleshooting technical challenges for internal or external partners and customers.

Preferred qualifications include a Master’s degree in Engineering, Computer Science, Business, or a related field, alongside 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, cloud data engineering) is advantageous. Experience with machine learning, building ML solutions, and working with ad tech products (ad server, DSPs, DMPs, web analytics) and engineering solutions built for scale is also highly valued.