info_outline XApplicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: New York, NY, USA; Mountain View, CA, USA; San Francisco, CA, USA. Minimum qualifications: Bachelor's degree in Computer Science, a similar technical field, or equivalent practical experience. 7 years of work experience in a technical role (e.g., software engineering, solutions consultant, etc.) or equivalent technical experience. Preferred qualifications: Demonstrated experience building applications or agents with Large Language Models (LLMs). Experience designing and implementing evaluation systems, benchmarks, or quality metrics for AI/LLM-based systems. Deep understanding of context engineering, RAG (Retrieval-Augmented Generation), and the principles of designing systems for AI agents. Familiarity with agentic frameworks and protocols (e.g., Model Context Protocol, LangChain, Skills). Track record of influencing product strategy through data-driven insights, friction logging, or customer zero. About the job 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. The Geo team is focused on building the most accurate, comprehensive, and useful maps for our users, through products like Maps, Earth, Street View, Google Maps Platform, and more. Every month, more than a billion people rely on Maps services to explore the world and navigate their daily lives. The Geo team also enables developers to use the power of Google Maps platforms to enhance their apps and websites. As they plot a course for the future of mapping, they are solving complex computer science problems, designing beautiful and intuitive product experiences, and improving our understanding of the real world. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $192000 - $279000 (USD) + 20% bonus target + equity + benefits Learn more about benefits at Google. Responsibilities Support Developer Content Strategy: Author and produce high-quality technical content across various formats, including technical blogs, YouTube video series, social channels, and interactive tutorials, to drive platform adoption and educate the Maker community. Focus on showing how agent skills help makers unlock new real-world reasoning agent capabilities. Drive Experiential Engagement: Design and execute high-impact hackathons, developer events, and activations in collaboration with Google Developer Marketing (GDM) and external ecosystem partners to capture key growth cohorts like Startups. Engineer the AI Flywheel: Design, build, and maintain the high-quality code samples, reference implementations, and agentic solutions (MCPs, Skills) that serve as the grounding truth for AI models, driving a virtuous cycle of engagement and improvement. Lead AI Community and Ecosystem: Serve as a technical authority on building with Google Maps Platform and AI.