Zeta Global is a leading AI-powered marketing technology company transforming how enterprises connect with customers. By combining one of the industry's largest proprietary identity datasets with cutting-edge AI, we help brands acquire, grow, and retain their best customers. Founded in 2007 and based in New York City, Zeta offers a cloud-native omnichannel marketing platform (ZMP) that unifies data, identity, intelligence, and activation across all digital channels. We serve clients across industries—from financial services to retail, travel, telecom, and beyond. As a publicly traded company (NYSE: ZETA), Zeta continues to scale through innovation in AI, identity graphs, and enterprise-grade marketing solutions.
As a Lead Software Engineer on our AI Platform Team, you will drive the design and development of the next generation of agentic, reliable, and scalable GenAI platforms supporting state-of-the-art large language models, evaluation systems, and secure developer tooling. You will play a key role in shaping technical direction, ensuring architectural excellence, and mentoring peers while collaborating across the company to infuse AI into real-world production solutions.
ResponsibilitiesSet technical direction and architect multi-tenant GenAI platform systems
Lead the development of secure, scalable platforms and developer tooling for agentic coding and experimentation
Integrate generative AI frameworks, LLMs, and evaluation platforms into enterprise-grade solutions
Solve complex technical challenges, ensuring reliability, security, and performance at scale
Mentor engineers and collaborate with Research, Product, and Engineering teams to deliver impactful solutions
Qualifications
6+ years engineering experience; proficient in C#, Java, JavaScript, Go, or Python
Experience with generative AI, large language models (LLMs), and cloud infrastructure
Familiarity with GenAI platform technologies (MCP, LangGraph, OpenAI, Bedrock)
Strong architecture, design, and problem-solving skills with a focus on security and reliability
Proven ability to mentor engineers and influence architectural decisions
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