Customer and Partner Solutions Engineer III, gTech

Customer And Partner Solutions Engineer III, gTech

The application window will be open until at least August 21, 2025. This opportunity will remain online based on business needs which may be before or after the specified date. Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Boulder, CO, USA; Sunnyvale, CA, USA.

Minimum Qualifications:

• Bachelor's degree in Engineering, Computer Science, a related field, or equivalent practical experience.
• 3 years of experience coding with one or more programming languages (e.g., Java, C/C++, Python).
• 3 years of experience working with database technologies (e.g., SQL, NoSQL).
• Experience in technical troubleshooting, and managing internal/external partners or customers.

Preferred Qualifications:

• Master's degree in Engineering, Computer Science, Business, or a related field.
• 3 years of experience working with client-side web technologies (e.g., HTML, CSS, JavaScript, or HTTP).
• 3 years of experience working with Machine Learning and Generative AI applications (e.g., deep learning, natural language processing, computer vision, pattern recognition), applied ML techniques, or using OSS frameworks.
• Experience building ML solutions, leveraging specific architectures (e.g., LSTM, convolutional networks).
• Experience architecting and developing software or infrastructure for scalable, distributed systems.
• Ability to learn and work with emerging technologies, methodologies, and solutions in the AI/ML space.

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 provides scalable data services that support numerous AI initiatives across Google, enhancing user experience and engagement. We seek entrepreneurial and detail-oriented individuals driven to bring Google AI/ML products to market and to our partners.

This multifaceted role combines machine learning with partner consultation. In this role, you will act as a technical expert, providing scalable solutions and troubleshooting for partners while advocating for product improvements. You will have a strong understanding of large language models, as well as experience in customer support. You will also be responsible for working with our product team to gather feedback from our partners and help us improve our products and services. A key focus will be pioneering new methodologies to measure the performance and quality of complex 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.

The US base salary range for this full-time position is $123,000-$176,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

• Provide in-depth machine learning expertise to support the technical relationship with Google's developers and partners, including proof-of-concept work. Advocate for new product features and ensure timely and accurate resolution of technical issues.
• Partner with Engineering and Product Management to prioritize solutions impacting customer adoption and improve our products and services.
• Troubleshoot issues with the models and help partners resolve them.
• Stay up-to-date on the latest developments in large language models.
• Explore, create, and assess methodologies for measuring complex Generative AI models.

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Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

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