Senior Product Manager, Modeling & Machine Learning Operations

🕒 May 11

🇺🇸 United States – Remote

💵 $150k - $190k / year

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

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Zeta Global

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2007

☁️ SaaS

🤖 Artificial Intelligence

🤝 B2B

💰 Post-IPO Debt on 2024-09

SaaS • Artificial Intelligence • B2B

Zeta Global is an AI-powered marketing cloud that leverages proprietary AI and trillions of consumer signals to acquire, grow, and retain customers more efficiently. The Zeta Marketing Platform (ZMP) offers a comprehensive suite of tools, including data management, customer data platforms (CDP), email service providers (ESP), and digital signal processing (DSP), to create individualized customer experiences and improve marketing outcomes. Zeta emphasizes omnichannel marketing, customer intelligence, and data-driven marketing strategies, partnering with brands, agencies, and publishers worldwide to accelerate brand growth and engagement. Their platform is designed to tackle complex marketing challenges with solutions for customer acquisition, growth, and retention through predictive AI and actionable consumer data.

📋 Description

• 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.

🏖️ Benefits

• Unlimited PTO • Excellent medical, dental, and vision coverage • Employee Equity and Stock Purchase Plan • Employee Discounts, Virtual Wellness Classes, and Pet Insurance • And more!!