Senior Customer and Partner Solutions Engineer, gTech

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 (e.g., Java, C/C++, Python).
• 6 years of experience working with database technologies (e.g., SQL, NoSQL).
• Experience in technical troubleshooting, and managing internal or external partners or customers.

Preferred qualifications:

• Master’s degree in Engineering, Computer Science, Business, or a related field.
• 6 years of experience working with client-side web technologies (e.g., HTML, CSS, JavaScript, or HTTP).
• 6 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 launching and scaling user-facing, production quality partner integrations.
• Ability to navigate ambiguity, scope complex projects, and manage multiple projects simultaneously.

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 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 $147,000-$216,000 + 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

• Build high-value use cases, rapid prototypes, and troubleshoot complex technical issues related to model performance and infrastructure, leveraging the latest 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 measurably impact Generative AI model quality and performance across Google’s product offerings.
• Explore, create, and assess novel methodologies for accurately measuring and evaluating the performance of complex Generative AI models.
• Stay current on industry trends, the latest machine learning research, tools, and advanced techniques.