Product Solutions Engineer, gUp Shopping

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.

The gTech Shopping Tools and Engineering team develops and maintains essential infrastructure and tools used by gUP Shopping to support products like Google Business Profiles and Google Merchant Center.

Our team builds and maintains tools, data, and infrastructure used to improve Merchant self-service, team and agent productivity, and insights so gUP Shopping is able to achieve its cost, compliance, and Merchant experience goals. We work with teams across Google, including Shopping Engineering, Product, gUP, and gTech Ads, to advocate on behalf of our merchants and our support teams for a better, more streamlined support experience.

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

US: $127000 - $182000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

• Work with clients to understand their objectives and challenges, identify technical gaps, and surface opportunities for solution reuse or innovations. 
  
• Design and implement solutions that meet client needs and are compliant with data and legal policies. 
  
• Understand the nuances of clients within the industry and develop subject matter expertise in trending spaces.
  

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.
• Experience working with database technologies (e.g., SQL, NoSQL).

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 using Machine Learning and building solutions.
  
• Experience with Agile development methodologies.
• Experience with business process automation or process improvement methodologies.
• Proven ability managing and delivering complex technical projects and coordinating cross-functional project members; excellent relationship building, collaboration, consultation, and influencing skills.