Lead Developer Relations Engineer
New
United StatesFull-TimeLead
Salary170,000 - 200,000 USD per year
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Job Details
- Required Skills
- PythonKubernetesTypeScriptCI/CD
Requirements
- Proven experience in Developer Relations, Developer Experience, Platform Engineering, Solutions Engineering, AI Enablement, or a related technical field.
- Strong software engineering background with hands-on expertise in TypeScript, Python, and modern development workflows.
- Experience using AI-native engineering tools such as GitHub Copilot, Cursor, Codex, Claude Code, MCP servers, or autonomous developer agents in production or enterprise environments.
- Deep understanding of AI-assisted software development practices, including prompt-driven development, AI-powered testing, automated reviews, and developer productivity optimization.
- Strong communication and technical storytelling abilities with experience producing educational content, tutorials, demos, videos, workshops, or technical documentation.
- Experience engaging with developer communities through events, online platforms, open-source ecosystems, webinars, or hackathons.
- Strong collaboration, organizational, and problem-solving skills with a builder mindset and passion for experimentation.
- Familiarity with cloud-native technologies, CI/CD pipelines, Kubernetes, observability, or developer infrastructure platforms is a plus.
- Experience contributing to open-source projects, developer tooling ecosystems, or technical education initiatives is highly valued.
- Knowledge of developer productivity frameworks such as DORA or SPACE is considered an advantage.
Responsibilities
- Drive adoption of AI-native engineering workflows, including coding assistants, autonomous agents, AI-assisted testing, automated code reviews, and prompt-driven development practices.
- Create high-impact technical content such as blogs, tutorials, architecture guides, videos, workshops, demos, implementation playbooks, and developer education materials.
- Build reusable demo repositories, workflow examples, and implementation patterns using AI-assisted development tools and modern engineering practices.
- Engage and grow developer communities through technical storytelling, webinars, hackathons, workshops, online discussions, and community-driven initiatives.
- Partner closely with Engineering, Platform, AI Enablement, and Developer Experience teams to improve developer productivity and tooling adoption.
- Educate engineering teams on emerging AI-native paradigms, including agent orchestration, verification-first workflows, and autonomous software delivery methods.
- Identify developer pain points and advocate for scalable improvements that enhance engineering efficiency and workflow transformation.
- Measure and optimize adoption through developer feedback, workflow analytics, enablement metrics, and content engagement insights.
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