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Salary
≈ $115k – $237k per year (Estimated)
Location
In office (Sunnyvale)
Seniority
Middle · 3+ years exp

Confirmed on the employer's own hiring board on Oct 19, 2026. First seen by Alion on Oct 5, 2026. Google scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Google is an American technology company founded in 1998 by Larry Page and Sergey Brin and now the principal subsidiary of Alphabet, headquartered in Mountain View, California. It operates the world's dominant search engine and the advertising system built around it, along with YouTube, Android, Chrome, Gmail, Maps, Workspace and Google Cloud, reaching billions of users across nearly every internet-connected market. The company designs its own silicon in the Tensor Processing Unit line, develops the Gemini foundation models through Google DeepMind, and derives most of its revenue from advertising while cloud has become its fastest growing segment.

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).

gTech Users and Products (gUP's) AI Technical Services team empowers first-party (1P) and third-party (3P) partners and stakeholders to innovate with technologies by providing technical services that unlock the potential of generative AI and open-source solutions. We're a group of product specialists that support Google's GenAI and open source software products.

We are committed to building an ever more fair gUP, and consider this the foundation upon which individual, team, and user success are built. We're also committed to innovation not only in the content of our work, but in the way we work.

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.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $127000 - $182000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

  • Enable developers, creators, and enterprises to effectively build on and leverage Google DeepMind Gen AI products and Gemini APIs.
  • Collaborate closely with engineering and product management to shape future product roadmaps, translating partner feedback into actionable features.
  • Act as a product expert to guide, troubleshoot, and help AI startups launch successfully using Gemini models, APIs, and tools.
  • Design, build, and maintain internal support solutions powered by Agentic toolkits and Gemini Gen AI offerings.
  • Stay at the forefront of rapid advancements in generative AI, sharing critical technical insights with internal teams and external partners.

Qualifications

Minimum qualifications:

  • Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
  • 3 years of experience working with client-side web technologies (e.g., HTML, CSS, JavaScript, or HTTP).
  • 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.
  • Experience working with Generative AI models and related technologies.

Preferred qualifications:

  • Master’s degree in Engineering, Computer Science, Business, or a related field.
  • Experience with data analysis and problem-solving.
  • Familiarity with cloud platforms and infrastructure (e.g., Google Cloud Platform).
  • Excellent communication, presentation, and team-work skills.
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