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The Staff Software Engineer will architect and develop Zeta Global’s Marketing Platform, collaborating with engineers and product managers to build a comprehensive marketing solution. Responsibilities include design and development of resilient distributed systems, error handling, real-time data pipelines, and utilizing various database technologies across multiple clouds.

The Associate Director, YouTube Ads will manage end-to-end YouTube ad campaigns for clients, including pricing, setup, optimization, pacing management, and reporting. They will act as the primary contact for advertisers, ensuring campaign success through hands-on management and strategic decision-making.

The Senior Front-end Engineer will develop core components for a generative AI-enabled marketing automation platform, ensuring performance and scalability while improving developer experience. Responsibilities include code design, bug fixing, code reviews, and working collaboratively to meet business needs.

The Sales Director will focus on promoting Zeta Global's managed-service and programmatic solutions to agencies and brands. Responsibilities include developing strategic plans to meet revenue goals, managing client relationships, understanding industry trends, and overseeing a portfolio of important accounts to ensure growth and performance.

The Senior Training Program Lead will develop and deliver technical training programs for engineers, focusing on software development and AI. This role involves identifying learning needs, enhancing technical proficiency, and collaborating with leadership to create a culture of continuous learning. The candidate will also support the onboarding of new technical hires and ensure training programs align with business objectives.

As a Big Data DevOps Lead, you will improve efficiency in Big Data infrastructure, coordinate initiatives across teams, lead architecture design efforts, ensure system reliability, and support operational tools while also providing on-call support.

The Lead Machine Learning Engineer will spearhead the delivery of machine learning models and solutions in collaboration with cross-functional teams. This role requires strong expertise in machine learning engineering practices, along with proficiency in programming and deployment workflows. Responsibilities include empowering product and engineering teams with data-driven insights and best practices in machine learning.