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Open nowFirst seen 56 minutes ago

Customer and Product Solutions Engineer, GenAI

Google3,128 open roles

Where
Sunnyvale, CA, USA
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Your applicationOpen nowCustomer and Product Solutions Engineer, GenAIGoogle · Sunnyvale, CA, USA
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The clock on this job

Early applications get read.

8.0% of postings close within 7 days. Measured by our own scanner across the market. Google postings stay open a median of 27 days.

Share of postings closed within
  1. 1.6%1 day
  2. 3.6%3 days
  3. 8.0%7 days
  4. 15.0%14 days
  5. 34.2%30 days
This job: first seen 56 minutes ago

Google median: 27 days open

The posting

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.

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.
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