Senior Product Manager, Modeling & Machine Learning Operations

Zeta Global is an AI-Powered Marketing Cloud that leverages advanced artificial intelligence to help marketers acquire, grow, and retain customers efficiently. The Senior Product Manager will lead Machine Learning Operations initiatives, focusing on developing retail-specific models and a user-friendly Model Workbench for marketers to utilize 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