Senior Manager, Ads Solutions Engineering, LCS, Agency and Partners, GAP

gTech’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, gTech Professional Services helps customers attain their business goals while building long-term capabilities.The Global Business Organization (GBO) is the engine that powers Google’s full ecosystem of products and services to help customers and partners succeed and grow. GBO includes the commercial arms of Ads sellers, business development teams, and customer services and support, as well as overlay programs that enable coordinated engagement with Google's most complex and important customers and partners.

Lead a team of individuals; set and communicate individual and team priorities that support organizational goals. Meet regularly with individuals to discuss performance and development, and provide feedback and coaching.

Work with clients to understand their objectives and challenges, identify technical gaps, and surface opportunities for solution reuse or innovations.

Design and implement solutions that meet client needs and are compliant with data and legal policies.

Understand the nuances of clients within the industry and develop subject matter expertise in trending spaces.

Minimum qualifications:

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

10 years of experience working with client-side web technologies (e.g., HTML, CSS, JavaScript, or HTTP).

10 years of experience coding with one or more programming languages (e.g., Java, C/C++, Python).

Experience in technical leadership, including leading business transformation initiatives.

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 using Machine Learning and building solutions.

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