Jobs at Wizard AI

The Senior Product Manager will lead the roadmap for AI-based shopping experiences, collaborating with engineering, design, and data teams to create user-friendly AI interactions and improve product engagement metrics.

The Machine Learning Engineer will design and build systems that improve the AI shopping agent by using real user feedback, focusing on feedback loops and metrics to enhance user interactions and agent performance.

The Lifecycle Marketing Manager will enhance user engagement through email, SMS, and push notifications, develop lifecycle strategies, and optimize campaigns to improve retention rates.

As a Senior MLOps Engineer, you will manage production ML systems, define lifecycle strategies, optimize ML pipelines, and collaborate with cross-functional teams to enhance ML operations.

Design and build backend systems and APIs for AI-driven products, ensuring scalability, reliability, and integration of ML models while collaborating with engineering and product teams.

The Applied Scientist will measure and improve the accuracy of Wizard's AI agent through metrics, experiments, and data analysis, partnering with ML and AI engineering teams.