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As a Principal AI/ML Engineer, you will lead the development of machine learning solutions for advertising, focusing on optimization, personalization, and deploying models within a highly scalable infrastructure.

The Principal AI/ML Engineer will develop advanced ML models for the AdTech platform, lead system design, and collaborate across teams to optimize advertising strategies using AI.

The Principal AI/ML Engineer will develop machine learning models for campaign optimization in AdTech, collaborating across engineering and product teams to enhance advertising capabilities.

Lead the strategy, architecture, and governance of the Agentic Apps Framework for Zeta's AI platform. Define app lifecycle standards, ensure enterprise-grade design, and create governance models for AI-driven applications, collaborating across teams to align product strategy.

Lead Customer Success for Sailthru within Publisher Cloud, owning retention, Net Revenue Retention, expansion, adoption, NPS, and advocacy. Manage enterprise portfolio, drive lifecycle and email personalization strategies, run account planning and forecasting, mitigate churn, develop CSM team, and partner with Sales, Product, Operations, and Support to deliver measurable customer outcomes and growth.

Lead programmatic client accounts to meet campaign goals: launch, optimize, and report on cross-channel DSP campaigns; run client meetings; deliver insights and presentations; collaborate with sales and analytics to drive growth and satisfaction.

Drive new pipeline through strategic account planning, engagement with executives, and maintaining relationships to achieve revenue targets across enterprise sales.

The Lead Software Engineer will design scalable distributed systems on AWS and Kubernetes, mentor engineers, and influence technical direction across teams while ensuring system performance and reliability for marketing intelligence products.

Lead client-facing programmatic analytics: design tests and measurement plans, monitor and report campaign performance, deliver actionable insights and optimization recommendations, and collaborate with product and engineering to improve models and measurement tools.

The Principal DevOps Engineer will lead the design and operation of CI/CD pipelines, platform reliability, and compliance for software deployment, while influencing DevOps practices and simplifying operational management across teams.