Developer Relation Advocate

Responsibilities

• Strategize on new initiatives, campaigns, and messaging.
• Build apps (and integrations with other platforms) to solve interesting use cases using Nimble's AI Search tool and Web Search Agents, and share them with the developer community on platforms like X, Discord, Github, and others.
• Create high-quality content, from thought leadership to hands-on tutorials and examples.
• Regularly attend developer-centric events and confidently speak in front of large technical audiences.
• Provide feedback on Nimble's product, documentation, and storytelling.
• Work with tech influencers and thought leaders to evangelize Nimble's story.

Requirements

• Strong, well-reasoned opinions on how AI should be deployed in a productive, reliable, and responsible way.
• 5+ years of experience in developer relations, software engineering, or sales engineering.
• Deep understanding of developer psychology, community dynamics, and what makes technical products beloved by builders.
• Hands-on experience building AI agents using modern AI tooling and ecosystems such as LangChain, Cursor, v0, BaseTen, and similar platforms.
• Proven experience creating content for developers across blogs, videos, podcasts, social posts, and other channels.
• Someone who can build their brand, and Nimble’s, independently and collaborate with other DevlRel orgs.

About Us

Our mission is to equip AI agents, development teams, and BI teams with reliable, accurate, and verifiable web data they can trust. Demand for live web data is surging to make AI systems smarter, but current web data retrieval methods consistently provide inaccurate information or incomplete data, which directly impacts the quality of AI outputs. Nimble makes it easy for AI agents and dev/data teams to access live web data in a reliable, controllable, and trustworthy way: Semantic search: Nimble understands the intent of search queries and deploys Web Search Agents that navigate websites to locate and capture the exact information your AI needs. Controllable search workflow: define repeatable web search and data processing steps to capture and stream clean, structured data. Real-time web data: rather than creating our own ranked index, Nimble searches live web data to capture quickly changing information in dynamic websites. With a more reliable way to access trustworthy web data, AI systems can produce more accurate results, and the promise of AI can be realized in a safer and more productive way.