Partner Solutions Engineer, Universal Commerce Protocol

Google Google · Big Tech · Sunnyvale, CA +3

This role focuses on ensuring successful partner integrations for Google's Universal Commerce Protocol, providing technical expertise, troubleshooting, and support. It involves collaborating with Product Managers and Partner Operations to define and advocate for new features, performing implementation reviews, and developing technical tools and documentation. The role also involves delivering partner feedback to cross-functional teams and optimizing business opportunities using data and technology. While preferred qualifications mention experience with machine learning, the core responsibilities are centered around technical integration, support, and product advocacy, not direct AI/ML model development or deployment.

What you'd actually do

  1. Ensure successful partner integrations by providing high-touch expertise, documentation, troubleshooting, and support within defined Service-level agreement (SLAs).
  2. Partner with Product Managers and Partner Operations Managers to define, prioritize, and advocate for new features that improve performance.
  3. Perform comprehensive implementation reviews and ensure prompt, proper resolution of all partner technical challenges.
  4. Develop technical tools and documentation with Engineering to expedite onboarding and enhance operational scaling.
  5. Deliver partner feedback to cross-functional teams and leverage data and technology to optimize new business opportunities.

Skills

Required

  • 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.

Nice to have

  • 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).