Gemini Partner Engineer

Google•Boulder, CO

13d

About The Position

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 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). As a Gemini Partner Engineer, you will play a key role in designing and implementing technical solutions (e.g., dashboards, reporting solutions, and Colabs) that drive insights from user data, optimize workflows, and improve the user experience across products. You will deliver solutions of moderate to high scope from ideation to execution, working with product teams, data scientists, and vendor operations. You will be transforming business needs into technical solutions that result in enabling our stakeholders to advocate for a better experience for our users. 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 [https://www.youtube.com/watch?v=HcjR6ZngQcw]. 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 [https://careers.google.com/benefits/].

Requirements

Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
3 years of experience working with database technologies (e.g., SQL, NoSQL).
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 Haves

Experience working with Machine Learning and Generative AI applications (e.g., deep learning, natural language processing, computer goal, pattern recognition), applied ML techniques, or using OSS frameworks (e.g., TensorFlow, PyTorch).
Experience coding with one or more programming languages (e.g., Python, Java, C/C++).
Experience architecting and developing software or infrastructure for scalable, distributed systems.
Experience in data and information management as it relates to big data trends and issues within businesses.
Experience building and maintaining ETL pipelines.
Experience with cloud platforms (e.g., Google Cloud Platform).

Responsibilities

Design, build, and maintain scalable data pipelines, Extract, Transform, and Load (ETL) processes, and data management systems.
Manage and optimize bug tracking and feedback classification systems while troubleshooting technical issues related to existing data, tools, and workflows.
Explore and integrate new Artificial Intelligence (AI) technologies to enhance user insights capabilities, identifying and recommending creative ways to improve and automate solutions.
Evaluate and compare different approaches to build and organize technical systems to recommend the best approach for gUP Gemini, Labs, and Research needs.
Co-ordinate timelines, goals, and objectives for assigned project components, ensuring alignment and successful delivery while effectively communicating technical strategies, progress, and outcomes to both technical and non-technical stakeholders.