Job Opportunities API

WHO WE ARE  Zeta Global (NYSE: ZETA) is the AI-Powered Marketing Cloud that leverages advanced artificial intelligence (AI) and trillions of consumer signals to make it easier for marketers to acquire, grow, and retain customers more efficiently. Through the Zeta Marketing Platform (ZMP), our vision is to make sophisticated marketing simple by unifying identity, intelligence, and omnichannel activation into a single platform – powered by one of the industry’s largest proprietary databases and AI. Our enterprise customers across multiple verticals are empowered to personalize experiences with consumers at an individual level across every channel, delivering better results for marketing programs. Zeta was founded in 2007 by David A. Steinberg and John Sculley and is headquartered in New York City with offices around the world. To learn more, go to www.zetaglobal.com . The Role We are seeking a hands-on, technical Lead Developer Relations Engineer to drive adoption of AI-native software engineering workflows, tooling, and best practices across the software development lifecycle. This role sits at the intersection of engineering, AI enablement, developer productivity, and technical evangelism, helping teams successfully adopt and scale modern AI-assisted development patterns.   You will own the Developer Relations charter for AI-native engineering, shaping how developers leverage coding assistants, autonomous agents, AI-assisted testing, spec-driven development, and agentic workflows in real-world engineering environments. This includes technical content, demos, workflow examples, workshops, onboarding assets, social engagement, and enablement programs that accelerate AI adoption across engineering teams and the broader developer ecosystem.   This role requires a strong builder mindset with the ability to combine deep technical expertise, developer empathy, technical storytelling, and community engagement. You should be equally comfortable writing code, building demos, experimenting with AI-native tooling, creating educational content, engaging with developers online, and helping teams operationalize modern AI-assisted engineering workflows at scale.   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 feed