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
Zeta Global Corp. seeks a Staff Software Engineer in San Francisco to 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. Shape technical direction, ensuring architectural excellence to infuse AI into real-world production solution.
- Lead the design and development of secure, scalable platform services and tooling for LLM-powered applications, agentic workflows, and experimentation.
- Design and implement retrieval and knowledge systems (e.g., RAG pipelines, embeddings, vector stores) to support enterprise use cases.
- Establish evaluation frameworks, benchmarks, and feedback loops to measure and continuously improve quality, correctness, and safety of GenAI systems.
- Build observability and debugging capabilities for LLM applications, including tracing, cost monitoring, latency analysis, and failure detection. Optimize cost and performance of GenAI workloads through model routing, caching, prompt optimization, and efficient infrastructure design.
- Architect multi-tenant capabilities including isolation, configuration, quota management, and cost attribution.
- Implement GenAI-specific security controls, including prompt injection mitigation, data protection, and access governance.
- Design and implement agent orchestration frameworks, including tool integration, state management, and workflow control.
