Customer and Product Solutions Engineer, GenAI, Antigravity

Google; Sunnyvale (CA); On-site; USD 127,000 - 182,000; Full time

Job summary

Google's gTech division seeks an engineer to design and implement ML solutions for customer use cases, leveraging TensorFlow, DataFlow, and Vertex AI. You will work with customers to identify opportunities to apply ML in their business and travel to customer sites to deploy solutions and run workshops.

You will collaborate with Product Management and Product Engineering to drive product excellence and support Google Cloud product implementations by providing architecture guidance, data

Qualifications

• Bachelor’s degree or equivalent practical experience in engineering or CS.
• 3 years of experience with client-side web tech (HTML/CSS/JS/HTTP).
• 3 years of experience coding in one or more languages (Java, C/C++, Python).
• Experience troubleshooting technical issues for partners or customers.

Responsibilities

• Learn more about benefits at Google.
• Support Partner and product teams with data pipelines for Gen AI products and APIs.
• Collaborate with engineering PMs to influence product roadmaps.
• Help manage releases and the release train.
• Troubleshoot issues and build internal tools using Gen AI offerings for partner enablement.
• Stay updated on Gen AI advancements and share insights with team and partners.

Skills

Client-side web tech

Programming languages

Troubleshooting

Education

Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience

Master’s degree in Engineering, Computer Science, Business, or related field

Job description

In most instances, this position requires in-person interviews as part of the hiring process.

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.

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, Windows).

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).

In this role, you will design and implement machine learning solutions for customer use cases, leveraging core Google products including TensorFlow, DataFlow, and Vertex AI. You will work with customers to identify opportunities to apply machine learning in their business, and travel to customer sites to deploy solutions and deliver workshops to educate and empower customers. Additional­ly, you will work closely with Product Management and Product Engineering to build and constantly drive excellence in our products. You will be the Google Engineer working with Google's ambitious Cloud customers. Together with the team you will support customer implementation of Google Cloud products through: architecture guidance, best practices, data migration, capacity planning, implementation, troubleshooting, monitoring, and much more.

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

Responsibilities

Learn more about benefits at Google .

• Support Partner and product teams with their end to end data pipelines to leverage Google DeepMind Gen AI products and APIs.
• 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.
• Stay up-to-date on the latest advancements in Gen AI and related technologies, sharing knowledge and insights with the team and partners.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .