Lead Developer Relations Engineer

Zeta Global is an AI-Powered Marketing Cloud that simplifies sophisticated marketing through advanced AI and consumer signals. They are seeking a hands-on Lead Developer Relations Engineer to promote AI-native software engineering workflows and best practices, driving adoption and engagement within the developer ecosystem.

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 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
• Experience building developer communities, technical audiences, newsletters, or AI engineering content channels
• Experience with AI-assisted SDLC tooling, evaluation systems, verification frameworks, or autonomous software engineering workflows
• Familiarity with cloud-native systems, Kubernetes, CI/CD, observability, and developer infrastructure platforms
• Contributions to open-source developer tooling, AI engineering ecosystems, or technical education initiatives
• Familiarity with developer productivity frameworks such as DORA or SPACE