Senior Customer and Product Solutions Engineer, GenAI, Antigravity

Sunnyvale, CAOnsiteFull TimeSenior$152,000–$221,000 /yrPosted 1 month agoVisa sponsorship available

Required skills

GenAI
Antigravity
client-side web technologies
HTML
CSS
JavaScript
HTTP
programming languages
Java
C/C++

Nice to have

business intelligence
data analytics
statistics
database technologies
SQL
NoSQL

Role summary

This Senior Customer and Product Solutions Engineer role focuses on Generative AI (GenAI) and Antigravity products. The position requires a strong background in client-side web technologies and programming languages, with experience in troubleshooting technical issues. Responsibilities include leading GenAI product support, architecting data solutions on Google Cloud platforms, influencing product roadmaps, and building internal tools. The role emphasizes empowering partners with GenAI and open-source technologies, requiring continuous learning and knowledge sharing in the rapidly evolving AI landscape.

Minimum qualifications:

Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
6 years of experience working with client-side web technologies (e.g., HTML, CSS, JavaScript, or HTTP).
6 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.

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 with cloud technologies such as architecting, developing, or maintaining cloud solutions in virtualized environments or cloud data engineering.
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 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).

gUP's AI Technical Services team empowers first-party and third-party 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 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: $152000 - $221000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities:

Lead GenAI/agentic product support for internal and external customers, end-to-end. Support Partner and product teams with their end-to-end data pipelines to leverage DeepMind Gen AI products and APIs.
Architect, parse, and query data across Google Cloud storage platforms (GCS, BigQuery SQL/partitioning, CloudSQL Postgres). Build and debug data pipelines.
Partner directly with engineering product management to influence and shape product roadmaps and future direction. Help product teams make new releases and manage the release train.
Troubleshoot issues and help partners resolve them. Build and maintain internal tools and solutions powered by Agentic toolkits and Gen AI offerings to enhance support workflows and partner enablement.
Enhance our support and product portfolio. Stay up-to-date on the latest advancements in Gen AI and related technologies, sharing knowledge and insights.