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Job Details
Posted date: Jun 25, 2026
Location: Seattle, WA
Level: Senior
Description
Design and maintain production-grade AI applications and agentic workflows to demonstrate deployment at scale. Be able to dogfood AI features and provide actionable feedback to developer teams to resolve developer friction and influence product roadmaps. Create engaging technical demos, blogs, and videos that demystify complex AI developer problems and drive share of voice. Manage developer programs, workshops, and hackathons to foster a vibrant community for AI solutions on Google Cloud. Develop comprehensive resources, including sample code and tutorials, while representing Google at industry events and conferences.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. Chrome, Android, App Engine, HTML5 as well as our core Google Apps and Ads APIs are just some of the platforms you promote and support.
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.
The Cloud Developer Relations team seeks a highly technical Developer Relations Engineer for the AI team. Our mission is to accelerate the developer journey from code to secure AI workloads in production. As a "builder-influencer," you will bridge developing and high-impact advocacy. You will build production-ready AI applications, integrate AI into secure product workflows, and demonstrate deployment at scale. Simultaneously, you will create engaging content, demos, blogs, and videos, that drives developer adoption to Google Cloud and Google AI.The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.
We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $163000 - $237000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Qualifications
Minimum qualifications: Bachelor's degree in Computer Science, a similar technical field, or equivalent practical experience.5 years of experience in a technical role (e.g., software engineering, solutions consultant, etc.) or equivalent technical experience. 2 years of experience integrating or building production-grade generative AI, large language models (LLMs), or multi-agent workflows into applications. 1 year of experience producing engaging developer content (e.g., blogs, short-form videos, podcasts, live streams).
Preferred qualifications: Experience designing production-grade AI apps and agentic workflows to showcase secure, scalable deployments. Experience leading workshops and hackathons to foster a vibrant AI solution community on Google Cloud. Experience leading industry events while developing sample code and tutorials for strategic enablement. Proven ability of creating technical demos and content to demystify complex AI problems and drive developer adoption. Ability to lead pre-launch testing of AI features to provide actionable engineering feedback and resolve developer friction.
Extended Qualifications
Bachelor's degree in Computer Science, a similar technical field, or equivalent practical experience.5 years of experience in a technical role (e.g., software engineering, solutions consultant, etc.) or equivalent technical experience. 2 years of experience integrating or building production-grade generative AI, large language models (LLMs), or multi-agent workflows into applications. 1 year of experience producing engaging developer content (e.g., blogs, short-form videos, podcasts, live streams).