Customer and Partner Solutions Engineer
Google New York, New York, United States · $127K–$182K/yr
Software Development · 10,001+ employees
About the role
The role involves configuring support workflows and integrating AI-driven solutions to enhance user support experiences. You will collaborate with product teams to troubleshoot automated systems and drive scalability across global support operations.
What they look for
Requirements
Candidates must possess a bachelor's degree in a technical field and at least three years of experience in coding and technical troubleshooting. Proficiency in web technologies and experience managing customer or partner relationships are essential requirements.
Benefits
Full description
Minimum qualifications:
- Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
- 3 years of experience coding with one or more programming languages (e.g., Java, C/C++, Python).
- 3 years of experience working with client-side web technologies (e.g., HTML, CSS, JavaScript, or HTTP).
- 3 years of experience in technical troubleshooting, and managing internal/external partners or customers.
Preferred qualifications:
- Master’s degree in Engineering, Computer Science, Business, or a related field.
- Experience in an analytical role such as business intelligence, data analytics, or statistics.
- Experience working with database technologies (e.g., SQL, NoSQL).
- Experience using machine learning and building solutions.
- Experience working with systems (e.g., Linux, Unix,).
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 varied 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 Customer and Partner Solutions Engineer, you’ll help Google scale its user support and product education initiatives to our users worldwide with the help of AI and other advanced technologies You'll partner with our user support teams to develop and implement technical innovations that support and delight our users. You'll oversee the integration of our scaled support systems by partnering closely with product support managers and support engineering teams to ensure that users can get the support they need.
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:
- Own the Ask Google Help support configuration and agentic workflow integrations for a dedicated set of products.
- Utilize advanced admin tools, code-based rule systems, prompt engineering, and AI configurations to build intelligent support paths.
- Partner closely with product operations and support teams to develop and execute product-specific, multi-channel human and AI support strategies.
- Search, investigate, and troubleshoot AI support features, automated workflows, and human escalation channel issues to ensure high availability and performance.
- Drive ongoing efficiency, scalability, and quality improvements across all support systems and operational tooling.
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