Senior Developer Relations Engineer, AI Foundation and Security
Listed on 2026-08-11
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Software Development
AI Engineer (Applied/Software)
Senior Developer Relations Engineer, AI Foundation and Security
Sunnyvale, CA, USA;
Cambridge, MA, USA;
Kirkland, WA, USA;
New York, NY, USA;
Raleigh, NC, USA;
Durham, NC, USA;
Seattle, WA, USA;
San Francisco, CA, USA.
Note:
By applying to this position you will have an opportunity to share your preferred working location from the following:
Sunnyvale, CA, USA;
Cambridge, MA, USA;
Kirkland, WA, USA;
New York, NY, USA;
Raleigh, NC, USA;
Durham, NC, USA;
Seattle, WA, USA;
San Francisco, CA, USA
.
Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.
About the jobPassionate people are everywhere 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 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 ultaneously, 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.
US: $163000 - $237000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities- 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.
- 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,…
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