Lead Developer Relations Engineer

What you'll do

• Drive adoption of AI-native engineering workflows including coding assistants, autonomous agents, MCP ecosystems, AI-assisted testing, code review, and spec-driven development practices.
• Create high-impact technical content including blogs, tutorials, architecture guides, demos, workshops, videos, implementation playbooks, and workflow education material focused on AI-native software engineering and developer productivity.
• Build demo repositories, reusable workflow examples, and practical implementation patterns that help engineering teams adopt AI-native development practices using tools such as Cursor, GitHub Copilot, Anthropic, OpenAI Codex, MCP servers, and autonomous developer agents.
• Drive developer engagement and ecosystem awareness through technical storytelling, developer education initiatives, online engagement, social platforms, workshops, webinars, hackathons, and community participation.
• Partner with Engineering, Platform, AI Enablement, and Developer Experience teams to improve adoption of AI-native workflows, developer tooling, and agentic development practices across the organization.
• Educate developers on emerging AI-native engineering paradigms including prompt-driven development, agent orchestration, AI-assisted testing, verification-first workflows, and autonomous software delivery patterns.
• Act as an advocate for developer productivity and workflow transformation by identifying friction points and enabling scalable AI-assisted engineering practices.
• Measure and improve adoption of AI-native engineering practices through developer feedback, workflow telemetry, productivity metrics, content engagement, onboarding insights, and enablement outcomes.

Requirements

• Proven experience in Developer Relations, Developer Experience, Platform Engineering, AI Enablement, Solutions Engineering, or related technical roles.
• Strong software engineering background with proficiency in TypeScript, Python, and modern software development workflows.
• Hands-on experience using AI-native engineering tools such as Cursor, Claude Code, Codex, Github Copilot, MCP servers, or autonomous developer agents in real-world engineering environments.
• Deep understanding of modern AI-assisted software development practices including agentic workflows, prompt-driven development, AI-assisted testing, automated code review, and developer productivity optimization.
• Strong technical storytelling, communication, and developer education skills with experience creating blogs, demos, tutorials, workshops, videos, social content, or technical enablement material.
• Experience engaging developer communities through technical discussions, online platforms, workshops, webinars, hackathons, or open-source ecosystems.
• Strong cross-functional collaboration, communication, and problem-solving skills with a hands-on builder mindset.

Tech stack

Benefits