Customer Solutions Engineer

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.

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).