Google
Senior Customer and Partner Solutions Engineer, gTech
Google, Sunnyvale, California, United States, 94087
Senior Customer and Partner Solutions Engineer, gTech
Join to apply for the Senior Customer and Partner Solutions Engineer, gTech role at Google.
The application window will remain open until at least December 21, 2025, based on business needs.
You may select your preferred working location from Sunnyvale, CA, USA or Boulder, CO, USA.
The US base salary range for this full‑time position is $147,000–$216,000, plus bonus, equity and benefits.
About the Job 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). Within gUP, the Machine Learning (ML) Data Services team delivers scalable, high‑quality data solutions that are foundational to numerous critical AI initiatives across Google. We partner closely with Google DeepMind and other Engineering teams to bring the best Generative AI Models (GenAI) to market. We seek entrepreneurial, detail‑oriented individuals driven to launch Google’s AI/ML products. In this role, you will serve as the primary technical expert, responsible for designing and delivering scalable AI solutions while actively driving product improvements as a key user advocate. You will possess an understanding of Large Language Models (LLMs), coupled with a proven ability to rapidly develop and iterate on prototypes. You will be collaborating directly with our Engineering teams to enhance our products and services and will focus on new methodologies for measuring the performance, quality, and safety of Generative AI models. Google creates products and services that make the world a better place, and gTech’s role is to help bring them to life. Our teams of trusted advisors support customers globally. Our solutions are rooted in our technical skill, product expertise, and a thorough understanding of our customers’ complex needs. Whether the answer is a bespoke solution to solve a unique problem, or a new tool that can scale across Google, everything we do aims to ensure our customers benefit from the full potential of Google products. To learn more about gTech, check out our video.
Minimum Qualifications
Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
6 years of experience coding with one or more programming languages such as Java, C/C++, Python.
6 years of experience working with database technologies such as SQL, and NoSQL.
Experience in technical troubleshooting and managing internal or external partners or customers.
Preferred Qualifications
Master’s degree in Engineering, Computer Science, Business, or related field.
6 years of experience working with client‑side web technologies such as HTML, CSS, JavaScript.
6 years of experience in Machine Learning and Generative AI applications (deep learning, natural language processing, computer vision, pattern recognition).
Experience building ML solutions using architectures such as LSTM, convolutional networks.
Experience launching and scaling user‑facing, production‑quality partner integrations.
Ability to navigate ambiguity, scope complex projects, and manage multiple projects simultaneously.
Responsibilities
Build high‑value use cases, rapid prototypes, and troubleshoot technical issues related to model performance and infrastructure, leveraging Gemini Model capabilities.
Contribute to the evolution of Gemini Models by shaping future capabilities and defining the roadmap for developer tools.
Partner with Google DeepMind Engineering and Product Management teams to prioritize and deliver solutions that measure the impact of Generative AI model quality and performance across Google’s product offerings.
Explore, create, and assess novel methodologies for accurately measuring and evaluating performance of complex Generative AI models.
Stay current on industry trends, the latest machine learning research, tools, and advanced techniques.
Seniority Level Mid‑Senior level
Employment Type Full‑time
Job Function Project Management, Consulting, and Engineering
Industries Information Services and Technology, Information and Internet
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google’s EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
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The application window will remain open until at least December 21, 2025, based on business needs.
You may select your preferred working location from Sunnyvale, CA, USA or Boulder, CO, USA.
The US base salary range for this full‑time position is $147,000–$216,000, plus bonus, equity and benefits.
About the Job 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). Within gUP, the Machine Learning (ML) Data Services team delivers scalable, high‑quality data solutions that are foundational to numerous critical AI initiatives across Google. We partner closely with Google DeepMind and other Engineering teams to bring the best Generative AI Models (GenAI) to market. We seek entrepreneurial, detail‑oriented individuals driven to launch Google’s AI/ML products. In this role, you will serve as the primary technical expert, responsible for designing and delivering scalable AI solutions while actively driving product improvements as a key user advocate. You will possess an understanding of Large Language Models (LLMs), coupled with a proven ability to rapidly develop and iterate on prototypes. You will be collaborating directly with our Engineering teams to enhance our products and services and will focus on new methodologies for measuring the performance, quality, and safety of Generative AI models. Google creates products and services that make the world a better place, and gTech’s role is to help bring them to life. Our teams of trusted advisors support customers globally. Our solutions are rooted in our technical skill, product expertise, and a thorough understanding of our customers’ complex needs. Whether the answer is a bespoke solution to solve a unique problem, or a new tool that can scale across Google, everything we do aims to ensure our customers benefit from the full potential of Google products. To learn more about gTech, check out our video.
Minimum Qualifications
Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
6 years of experience coding with one or more programming languages such as Java, C/C++, Python.
6 years of experience working with database technologies such as SQL, and NoSQL.
Experience in technical troubleshooting and managing internal or external partners or customers.
Preferred Qualifications
Master’s degree in Engineering, Computer Science, Business, or related field.
6 years of experience working with client‑side web technologies such as HTML, CSS, JavaScript.
6 years of experience in Machine Learning and Generative AI applications (deep learning, natural language processing, computer vision, pattern recognition).
Experience building ML solutions using architectures such as LSTM, convolutional networks.
Experience launching and scaling user‑facing, production‑quality partner integrations.
Ability to navigate ambiguity, scope complex projects, and manage multiple projects simultaneously.
Responsibilities
Build high‑value use cases, rapid prototypes, and troubleshoot technical issues related to model performance and infrastructure, leveraging Gemini Model capabilities.
Contribute to the evolution of Gemini Models by shaping future capabilities and defining the roadmap for developer tools.
Partner with Google DeepMind Engineering and Product Management teams to prioritize and deliver solutions that measure the impact of Generative AI model quality and performance across Google’s product offerings.
Explore, create, and assess novel methodologies for accurately measuring and evaluating performance of complex Generative AI models.
Stay current on industry trends, the latest machine learning research, tools, and advanced techniques.
Seniority Level Mid‑Senior level
Employment Type Full‑time
Job Function Project Management, Consulting, and Engineering
Industries Information Services and Technology, Information and Internet
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google’s EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
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