About the job

g Tech’s Professional Services team takes a creative, collaborative, and customer-centric approach to provide foundational services and forward-looking business solutions to top advertiser and publisher customers. Through technical implementation, optimization, and key solutions, g Tech Professional Services helps customers attain their business goals while building long-term capabilities.
Ads Solutions Engineering (ASE) is the hub for innovation and engineering excellence that power customer growth and exceptional Ads experiences in the Global Business Organization.

Google creates products and services that make the world a better place, and g Tech’s role is to help bring them to life. Our teams of trusted advisors support customers globally. Our solutions are rooted in our technical skill, product expertise, and a thorough understanding of our customers’ complex needs. Whether the answer is a bespoke solution to solve a unique problem, or a new tool that can scale across Google, everything we do aims to ensure our customers benefit from the full potential of Google products.

To learn more about gTech, check out our video.

Responsibilities

• Collect requirements and provide guidance and best practices for ad products and technologies.

• Be responsible for proactively scoping, designing, and building series of solutions and best practices at a global level to be reused by customers, sellers, and partners.

• Adapt existing bespoke ads solutions created by regional teams into globally scaled solutions that can support thousands of customers.

• Own the solution lifecycle from discovery to launch, handling maintenance bugs, feature requests, and deprecation for a portfolio of scaled solutions.

Minimum qualifications

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

• Experience troubleshooting technical issues for internal/external partners or customers.

• Experience working with client-side web technologies (e.g., HTML, CSS, JavaScript, or HTTP).

• Experience coding with one or more programming languages (e.g., Java, C/C++, Python).

Preferred qualifications

• Master’s degree in Engineering, Computer Science, Business, or a related field.

• Experience in an analytical role such as business intelligence, data analytics, or statistics.

• Experience working with database technologies (e.g., SQL, NoSQL).

• Experience with cloud technologies such as architecting, developing, or maintaining cloud solutions in virtualized environments or cloud data engineering.

• Experience working with systems (e.g., Linux, Unix, etc.).