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Internet Services, Software, AI, Cloud Computing, Hardware

Customer and Partner Solutions Engineering Intern, BS/MS, Summer 2027

Mountain View, CAOnsiteInternshipJunior / Entry-level$82,000–$109,000 /yrPosted 1 month agoVisa sponsorship available

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Required skills

  • Software Engineering
  • Information Systems

Nice to have

  • US degree program
  • penultimate academic year
  • web technologies
  • technical troubleshooting
  • developer-facing support
  • data pipelines

Role summary

This internship focuses on Customer and Partner Solutions Engineering, aiming to help Google scale partner integrations, technical solutions, and developer enablement initiatives using AI and automation. Interns will collaborate with various teams to design, implement, and troubleshoot technical integrations, and build tools to improve partner onboarding and resolve blockers. The role involves collecting requirements, providing guidance on products and technologies, and developing global solutions for customers and partners. Responsibilities also include managing support configurations, developing AI support strategies, and driving improvements in support systems and operational tooling. The internship is for Summer 2027 and targets students pursuing a Bachelor's or Master's degree in a technical field.

Minimum qualifications:

  • Currently pursuing a Bachelor's or Master's degree in Computer Science, Software Engineering, Information Systems, or a related technical field.

Preferred qualifications:

  • Currently attending a degree program in the US and available to work full time for 12 weeks outside of university term time.
  • In their penultimate academic year or returning to a degree program after completion of the internship.
  • Experience coding with one or more programming languages (e.g., Java, C/C++, Python).
  • Experience or coursework involving web technologies (e.g., RESTful APIs, JSON, SDKs, Webhooks) and technical troubleshooting or developer-facing support.
  • Experience implementing data pipelines and dashboards.
  • Comfortable evaluating a new problem space, identifying stakeholders, and proposing technical solutions.

About the job:

As a Customer and Partner Solutions Engineer, you’ll help Google scale partner integrations, technical solutions, and developer enablement initiatives worldwide with the help of AI and automation. You’ll collaborate with product/engineering, external partners, developers, and internal engineering teams to design, implement, and troubleshoot technical integrations (APIs, SDKs, and platform protocols). Additionally, you’ll build technical innovations and tooling to streamline partner onboarding and resolve technical integration blockers.

Google is and always will be an engineering company. We hire people with a broad set of technical skills who are ready to address some of technology's greatest challenges and make an impact on millions, if not billions, of users. At Google, engineers not only revolutionize search, they routinely work on massive scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world. From Google Ads to Chrome, Android to YouTube, Social to Local, Google engineers are changing the world one technological achievement after another.

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

US: $82000 - $109000 (USD) + 0% bonus target

Learn more about benefits at Google.

Responsibilities:

  • Collect requirements, provide guidance, and best practices to apply to products and technologies.
  • Be responsible for proactively scoping, designing, and building a series of solutions and best practices at a global level to be reused by customers, sellers, partners.
  • Own the Ask Google Help support configuration and agentic workflow integrations for a dedicated set of products.
  • Partner closely with product operations and support teams to develop and execute product-specific, multi-channel human and AI support strategies.
  • Drive ongoing efficiency, scalability, and quality improvements across all support systems and operational tooling.
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