Developer Relations AI

Role overview

As a Developer Relations AI you’ll be the bridge between engineering and external builders, helping developers discover, understand, and successfully use privacy-focused AI tools and platforms. This is a high-impact, fully remote role collaborating with product, engineering, and marketing while representing the platform through technical storytelling and community engagement.

Responsibilities

• Build and maintain relationships with developers, strategic partners, and open-source communities.
• Run developer engagement programs such as AMAs, webinars, office hours, hackathons, workshops, and online forums.
• Create high-quality technical materials: tutorials, blog posts, documentation, sample apps, demos, videos, and SDK guides.
• Build prototypes and reference implementations demonstrating practical AI use cases.
• Collect developer feedback and translate ecosystem needs into insights for product and engineering.
• Advocate for improvements to developer experience (onboarding, APIs, tooling, and documentation).
• Represent the platform at conferences, meetups, and digital events via talks and technical presentations.
• Support launch plans for new developer-facing features, APIs, and integrations.
• Track community sentiment and adoption/engagement metrics to optimize DevRel programs.
• Mentor internal teams on technical communication and community-building best practices.

Requirements

• Bachelor’s degree in Computer Science/Software Engineering or equivalent experience.
• 3+ years of software development with strong coding fundamentals.
• Prior experience in Developer Relations/Developer Advocacy/technical community or similar roles.
• Hands-on expertise in JavaScript, TypeScript, and Node.js, including production-level development.
• Experience building, testing, and maintaining applications, APIs, or developer tools.
• Proven ability to create engaging technical content (written, video, and/or live).
• Experience speaking at public technical events (conferences, webinars, meetups).
• Strong understanding of developer experience principles and onboarding/community growth strategies.
• Experience with AI/ML technologies, such as LLM integrations, AI APIs, or chatbot solutions.
• Strong English written and verbal communication.
• Ability to collaborate cross-functionally across engineering, product, and marketing.

Nice-to-haves

• Familiarity with Llama.cpp, ggml inference engines, or efficient local model deployment workflows.

Benefits

• Fully remote global work environment with flexible location options.
• High-visibility role influencing product adoption and ecosystem growth.
• Exposure to privacy-first AI developer platforms, local AI inference, and advanced developer tooling.