gTechs 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.
In this role, you will leverage Google Cloud's advanced infrastructure and Artificial Intelligence/Machine Learning (AI/ML) capabilities to architect, develop, and implement customized solutions that motivate business transformation. You will bridge the gap between technical possibilities and real-world business needs, helping clients optimize their advertising technology stack, automate workflows, and unlock data-motivated insights. You will enable clients to maximize their investment in Google's advertising platforms while building future-ready, scalable solutions.
Google creates products and services that make the world a better place, and gTechs 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.
Responsibilities
Architect, develop, and deliver solutions leveraging Google's ecosystem, including Google Cloud and Google Artificial Intelligence (AI) capabilities, to maximize the potential of Google Ads and Google Marketing Platform products.
Work with Google's largest advertisers, agencies and partners, understand their tests, collect requirements, provide solutions to apply ad products and technologies to achieve their business goals.
Identify and solve client problems through effective project management and consultation on technical setup.
Requirements: Minimum qualifications:
Bachelors degree in Engineering, Computer Science, a related field, or equivalent practical experience.
3 years of experience working with web technologies (e.g., HTML, CSS, JavaScript, or HTTP).
3 years of experience coding with one or more programming languages (e.g., Java, C/C++, Python).
Experience in technical troubleshooting, and managing internal/external partners or customers.
Preferred qualifications:
Masters degree in Engineering, Computer Science, Business, or a related field.
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 with Google Cloud to prototype solutions and integrations in customer or partner environments.
Experience with automating decision pipelines based on machine learning methodologies and data science techniques.
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