Senior Product Manager, Modeling & Machine Learning Operations

Zeta Global is an AI-Powered Marketing Cloud that utilizes advanced artificial intelligence to enhance marketing strategies. The Senior Product Manager will lead initiatives in Machine Learning Operations, focusing on developing retail-specific models and a user-friendly Model Workbench to empower marketers in utilizing machine learning effectively.

Responsibilities:

• Spearhead the development and maintenance of robust ML Ops processes to streamline model deployment, monitoring, and management
• Design and refine machine learning models tailored to the retail industry, enhancing our predictive capabilities and market understanding
• Lead the creation of a Model Workbench platform that enables marketers to easily interact with and utilize machine learning models, incorporating user-friendly interfaces and tools
• Ensure all product development is guided by a deep understanding of customer needs and market demands, delivering solutions that are both intuitive and powerful
• Work towards integrating traditional ML with advanced generative models, focusing on explainability, actionable recommendations, and recursive training based on user interactions

Requirements:

• Proven track record of successful product management, ideally in a technology-focused environment
• Strong understanding of ML Ops practices, with experience in developing and managing Machine Learning models, particularly for retail applications
• Comfortable working with both traditional and generative machine learning technologies, with a keen insight into model explainability and user interaction
• Ability to think strategically about product development, integrating customer insights and market trends into actionable product features
• Excellent communication skills with the ability to collaborate effectively across cross-functional teams and articulate product visions clearly to both technical and non-technical stakeholders
• Direct experience or a strong understanding of the retail industry's data analytics needs
• Knowledge of combining traditional ML models with generative models to enhance user interaction and model training