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Senior Product Manager, Modeling & Machine Learning Operations
Senior Product Manager, Modeling & Machine Learning Operations
As a Senior Product Manager, you will lead Machine Learning Operations initiatives at Zeta Global, focusing on developing retail-specific models and a user-friendly Model Workbench. Your role involves spearheading ML Ops processes, designing retail-tailored ML models, and integrating traditional ML with advanced generative models to empower marketers with data-driven insights.
About the role
About the Role
At Zeta Global, we are spearheading innovations in data-driven marketing, leveraging advanced machine learning and AI to deliver unparalleled insights and performance. We are seeking a visionary Senior Product Manager to lead our Machine Learning Operations initiatives, focusing on developing retail-specific models and a user-friendly Model Workbench that empowers marketers to harness the power of Machine Learning without the need for deep technical expertise.
Responsibilities
- Machine Learning Operations Leadership: Spearhead the development and maintenance of robust ML Ops processes to streamline model deployment, monitoring, and management.
- Retail Model Innovation: Design and refine machine learning models tailored to the retail industry, enhancing our predictive capabilities and market understanding.
- Model Workbench Development: 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.
- Customer-Centric Product Development: Ensure all product development is guided by a deep understanding of customer needs and market demands, delivering solutions that are both intuitive and powerful.
- Agentic Infrastructure Integration: Work towards integrating traditional ML with advanced generative models, focusing on explainability, actionable recommendations, and recursive training based on user interactions.
Requirements
- Experience in Product Management: Proven track record of successful product management, ideally in a technology-focused environment.
- Expertise in Machine Learning: Strong understanding of ML Ops practices, with experience in developing and managing Machine Learning models, particularly for retail applications.
- Technical Proficiency: Comfortable working with both traditional and generative machine learning technologies, with a keen insight into model explainability and user interaction.
- Strategic Thinking: Ability to think strategically about product development, integrating customer insights and market trends into actionable product features.
- Communication Skills: 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.
- Background in Retail Analytics: Direct experience or a strong understanding of the retail industry's data analytics needs.
- Familiarity with Agentic Infrastructure: Knowledge of combining traditional ML models with generative models to enhance user interaction and model training.