Developer Relations Engineer, AI

Passionate people are everywhere at Google. In Developer Relations, we get excited to collaborate and connect with the communities that love technology as much as we do. Part community manager and part developer advocate, Developer Relations Engineers collaborate with developers at conferences and online, and advocate for developers interests internally at Google. Not afraid to be hands-on, you write sample code and client libraries as well as participate in developer forums and support queues to troubleshoot and debug coding problems developers encounter. Internally, you work with product engineering teams to improve our products by conveying feedback from developers, reviewing API designs and testing new features.

With your technical expertise, you drive strategy around fostering a community of developers who work with Google technologies. An ardent advocate for these developers, you represent their voice internally to our Product Managers and serve as their Google support in application development and technology implementation.

It's an exciting time to join Google Cloud’s Go-To-Market team, leading the AI revolution for businesses worldwide. In this role, you will be leveraging Google's brand credibility—a legacy built on inventing foundational technologies and verified at scale. We’ll provide you with the world's most advanced AI portfolio, including frontier Gemini models, the Gemini Enterprise Agent Platform, and Firebase AI Logic, empowering you to solve customer issues and enable developers building full-stack AI applications. We’re a collaborative culture providing direct access to DeepMind's engineering and research minds. Join us to be the catalyst for our mission, drive customer success, and define the new cloud era—the market is yours.

It's an exciting time to join Google Cloud’s Go-To-Market team, leading the AI revolution for businesses worldwide. You’ll excel by leveraging Google's brand credibility—a legacy built on inventing foundational technologies and proven at scale. We’ll provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. We’re a collaborative culture providing direct access to DeepMind's engineering and research minds, empowering you to solve customer challenges. Join us to be the catalyst for our mission, drive customer success, and define the new cloud era—the market is yours.

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

US: $138000 - $197000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities:

• Act as an advocate for the developer and enterprise architect within Google Cloud, gathering feedback on first-party AI Dev Tools to influence the product roadmap.
• Support our AI tools through authentic, technically deep engagement online and at global conferences, enterprise executive briefings, and developer meetups.
• Advocate for full-stack and mobile/web developers building AI applications, demonstrating how to integrate Gemini models and agentic workflows using Firebase AI Logic and Genkit.
• Design reference architectures, sample apps, and codelabs showcasing enterprise patterns—combining the Gemini Enterprise Agent Platform with Firebase security and data primitives (App Check, Authentication, Firestore, and Data Connect).

Minimum qualifications:

• Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.
• 3 years of experience in a technical role (e.g., software engineering, solutions consultant, etc.).
• Experience with software development workflows, Integrated Development Environments (IDEs), and developer tools.

Preferred qualifications:

• 3 years of experience as a technical practitioner in a developer community.
  
• Experience with full-stack, mobile (Kotlin/Android, Swift/iOS, Flutter), or modern web frameworks (TypeScript, Next.js, Node.js).
• Experience building generative AI applications or agentic workflows using tools such as Firebase AI Logic, Genkit, or the Gemini API.