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.
In this role, you will be focused on both solutioning and scaling at a global level, partnering with regional stakeholders, product teams, and specialists, and re-envisioning the way gTech Ads goes to market across customer segments. You will create a bold technical goal in the ads solutions space empowering customers and teams across the organization.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $127000 - $183000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Collect requirements, provide guidance, and best practices to apply to ad products and technologies.
- Scope, design, and build a series of solutions and best practices at a global level to be reused by customers, sellers, and partners.
- Leverage engineering skills to adapt existing bespoke ads solutions created by regional teams into globally scaled solutions that can support thousands of customers.
- Own solution life cycle from discovery to launch, managing maintenance bugs and feature requests, as well as deprecation for a portfolio of scaled solutions.
Qualifications
Minimum qualifications:
- Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
- 3 years of experience working with client-side 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 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 investigative 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).