In Developer Relations, we get excited to collaborate and connect with the communities that love technology as much as we do. As a Developer Advocate, you'll collaborate with developers at conferences and online, and advocate for developers interests internally at Google. You'll 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'll work with product engineering teams to improve our products by conveying feedback from developers, reviewing API designs and testing new features.
In this role, you will drive strategy around fostering a community of developers who work with Google AI technologies. An ardent advocate for these developers, you'll represent their needs internally to our engineers and serve as their Google support in application development and technology implementation.
Responsibilities
- Collaborate with cross-functional teams to manage product engagement and identify user needs.
- Attend or facilitate conferences and events to gain and share insights on user experience and technologies.
- Lead developer programs and act as an authority in the domain.
- Contribute input and feedback on products or programs, and represent the interests of partners to internal stakeholders.
Qualifications
Minimum qualifications:
- Bachelor's degree in Computer Science or a related technical field, or equivalent practical experience.
- 5 years of experience with engaging at technology conferences, blogging/writing technical articles with an existing follower base, or contributing to open source projects.
- 5 years of experience in one or more general purpose programming languages (e.g., Python, Java, C++, Go) with a focus on machine learning or generative AI applications.
- Ability to communicate in English and Japanese fluently to engage with local stakeholders and align with key engineering stakeholders.
Preferred qualifications:
- 5 years of experience with the Japan developer ecosystem and engaging with local technical communities.
- Experience with software architecture, system design, and software development.
- Experience with agentic AI frameworks (e.g., ADK, LangGraph, CrewAI, LangChain, etc.) and integrating AI APIs (e.g., large language models APIs, speech-to-text, text-to-speech, multimodal, etc.).