Partner Solutions Engineer, Universal Commerce Protocol

In gTech Users and Products (gUP), our mission is to advocate for Google’s users by creating helpful and trusted experiences across the product ecosystem. We achieve this by meeting partners and consumers where they are with support and help, representing their needs with our product partners and proposing fixes and features that elevate their engagement with Google's diverse product ecosystem. Additionally we provide a range of product services that ensure our products are optimized for every user, no matter where they are in the world (e.g., localization, digitization, partner integration, and more).

Our team works with retail partnerships to achieve ambitious plans to grow the value merchants and users get from Google, while ensuring high data quality. We closely collaborate with Engineering and Product teams to develop and improve Google’s products and tools. We are advocates of the customer and partner experience, advocating for features and offering product and tools improvements backed by data-driven insights.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $127000 - $183000 (USD) + 15% bonus target + bonus + equity + benefits

Learn more about benefits at Google.

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 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).