Senior Customer Solutions Engineer
Listed on 2026-08-07
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Language/Bilingual
Technical Support
Senior 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. This role is in the gUP Shopping Partner Engineering team, focused on supporting our API ecosystem for Shopping.
We work on Universal Commerce Protocol, Google Business Profile and Google Merchant Center integrations, which power consumer experiences on Google Shopping and many other surfaces. 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: $152000 - $221000 (USD) + 15% bonus target + equity + benefits.
Responsibilities:
- Provide high-touch technical guidance, troubleshooting, and documentation to ensure seamless partner integrations within defined Service-level agreement (SLAs).
- Gather operational feedback to advocate for product enhancements, bug fixes, and feature improvements with Product and Engineering teams.
- Work with Product and Partner Operations Managers to define, prioritize, and launch new features and internal tools.
- Develop technical documentation and developer tools to streamline onboarding, improve product serviceability, and scale operations.
- Perform implementation reviews and analyze partner data to identify, drive, and maximize growth opportunities using Google technologies.
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