Partner Engineering Manager, Universal Commerce Protocol

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.
Google creates products and services that make the world a better place, and gTech’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
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Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $183000 - $265000 (USD) + 20% bonus target + equity + benefits
Learn more about
benefits at Google
.

Minimum qualifications
Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
8 years of experience working with client-side web technologies (e.g., HTML, CSS, JavaScript, or HTTP).
8 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).

Responsibilities
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.