Partner Engineer, Users and Products, Gemini

Minimum qualifications:

• Bachelor’s degree in Engineering, Computer Science, or a related field, or equivalent practical experience.
• 8 years of experience coding with one or more programming languages (e.g., Java, C/C++, Python).
• Experience working with web technologies (e.g., HTML, CSS, JavaScript, or HTTP).
• Experience in technical troubleshooting, and managing internal/external partners or customers.
  

Preferred qualifications:

• Master's degree in Computer Science or a related technical field.
• Experience working with Generative AI models and related technologies.
• Experience with data analysis and problem-solving.
• Experience with ML Frameworks.
• Familiarity with cloud platforms and infrastructure (e.g., Google Cloud Platform).

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).

In gTech, we are working across many Google products. Processes you build for one product can be really valuable to the other products and you will have an opportunity to influence and lay a path forward for many products directly or indirectly.

In this role, you will get an opportunity to be at the forefront of Machine Learning (ML) and Generative AI adoption, directly supporting the developers, partners and teams building with and integrating these groundbreaking technologies. You will have the chance to shape how partners leverage ML and GenAI, contribute to the evolution of these powerful tools, and work on a range of impactful projects.

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 $177,000-$263,000 + 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

• Lead the developer services team supporting AI Frameworks and ML Frameworks like TensorFlow, Jax, ODML, Edge products and beyond. Mentor, grow, and provide Technical Leadership (TL) to other team members working on CloudAI products in our scope.
• Develop and maintain technical resources like prototypes, tools, and documentation to empower partners in leveraging Generative AI technologies.
• Provide technical guidance and support to partners, assisting with integration, troubleshooting, and best practices for utilizing Gen AI and ML infrastructure.
• Work closely with Release Managers, SRE’s, Developer and Engineering Productivity (EngProd) partners to design scalable and uniform build and release infrastructure for Google3 and Non-Google3 products.
• Work beyond Google3 with teams that use Git-On-Borg (GoB), Docker, and other non-Google3 tools/infrastructure.