Ads Solutions Engineering is the hub for innovation and engineering excellence that power customer growth and exceptional ads experiences in the Global Business Organization.
In this role, you will bring innovative engineering solutions to more customers, partners, and agencies to accelerate growth at global scale. You will build platforms to help deliver solutions enabling growth with agility and efficiency. You will automate workflows and externalize tech and media solutions for amplified reach.
You will focus on solutioning at a global level, partnering with regional stakeholders, product teams, and specialists, and re-envisioning the way Google Technical Services Ads goes to market across customer segments.
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
video.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
Ireland: €114000 - €117000 (EUR) + 15% bonus target + equity + benefits
Poland: zł340000 - zł349000 (PLN) + 15% 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.
- 6 years of experience working with client-side web technologies (e.g., HTML, CSS, JavaScript, or HTTP).
- 6 years of experience coding with one or more programming languages (e.g., Java, C/C++, Python).
- Experience troubleshooting technical issues for internal/external partners or customers.
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).