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Job Details
Posted date: Apr 28, 2026
Location: Seattle, WA
Level: Senior
Estimated salary: $200,000
Range: $163,000 - $237,000
Description
Design, build, and maintain the high-quality code samples, reference implementations, and agentic solutions (MCPs, Skills). Act as "customer zero" for our AI-assisted developer experience. Lead technical integrations with key partners in the AI ecosystem (e.g., AI IDEs, agent frameworks like LangChain, and platforms like Replit) to meet developers where they are and drive adoption of our "build with AI" capabilities. Serve as a technical authority on building with Google Maps and AI. Grow our developer community. Use data from evaluations, friction logging, and community engagement, ensuring our platform roadmap is optimized for the needs of AI-powered makers.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.
Geo DevRel owns and shapes the developer experience of 1M+ global devlopers on the world's leading location developer platform. We work across organization wide goals partnering with product, engineering & GTM to drive AI-native developer growth and awareness.
In this role, you'll stand at the intersection of geospatial technology and the new frontier of AI-assisted development, crafting the experiences that make our platform indispensable to the next generation of AI-powered makers.
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.
The US base salary range for this full-time position is $163,000-$237,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or 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 work experience in a technical role (e.g., software engineering, solutions consultant, etc.) or equivalent technical experience.Preferred qualifications:Experience designing and implementing evaluation systems, benchmarks, or quality metrics for AI/LLM-based systems.Experience building applications or agents with agents and Large Language Models (LLMs).Understanding of context engineering, RAG (Retrieval-Augmented Generation), tools (e.g., MCP, Skills, CLI), and the principles of designing systems for AI agents.Familiarity with agentic frameworks and protocols (e.g., Model Context Protocol, LangChain, Skills).Ability to take ownership of solutions and exert influence without authority.Track record of influencing product strategy through data-driven insights, friction logging, or "customer zero" dogfooding.