Lead Software Engineer, AI Platform

Zeta Global • GA

121d

About The Position

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. 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.

Requirements

• 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

Responsibilities

• Set 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

Benefits

• Unlimited PTO
• Excellent medical, dental, and vision coverage
• Employee Equity
• Employee Discounts
• Virtual Wellness Classes
• Pet Insurance

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Number of Employees: 1,001-5,000 employees