Product Solutions Engineer, Health and Home

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 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 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).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.

• 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.

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).