Lead Developer Relations Engineer
Core
Drive adoption of AI-native software engineering workflows, tooling, and best practices across the software development lifecycle for engineering teams and the broader developer ecosystem.
Role type
Lead Developer Relations Engineer (AI-native workflows)
Builds
Demos, reusable workflow examples, technical content (blogs, tutorials, architecture guides), and enablement programs for AI-assisted development.
Domain
AI-powered marketing / Software Engineering / Developer Productivity
Deliverable
product features
Required skills
Deep technical expertise in software engineering, ability to write code and build demos, technical storytelling, developer empathy, community engagement, experience with AI-native tooling (coding assistants, autonomous agents, MCP ecosystems), ability to create educational content, data analysis for adoption metrics.
Preferred skills
Experience with Cursor, GitHub Copilot, Anthropic, OpenAI Codex, MCP servers, autonomous developer agents, prompt-driven development, agent orchestration, verification-first workflows.
Technologies
Cursor, GitHub Copilot, Anthropic, OpenAI Codex, MCP servers, autonomous developer agents
Responsibilities
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; Build demo repositories, reusable workflow examples, and practical implementation patterns that help engineering teams adopt AI-native development practices; 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; 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.
Seniority
Lead, hands-on IC with strategic influence
