Jason Rieff is a distinguished product leader with over 10 years of experience specializing in Artificial Intelligence (AI) and Machine Learning (ML) platforms. He is currently the Head of Product for the AI Platform at Databricks, where he leads the strategy and development of tools and services that empower data scientists and engineers to build, deploy, and manage ML models at scale. Prior to Databricks, Jason made significant contributions at Uber, where he was instrumental in shaping and scaling Michelangelo, Uber's groundbreaking machine learning platform. He is passionate about democratizing AI and enabling organizations to leverage data-driven insights to solve complex problems and drive innovation. Jason is known for his deep technical understanding combined with a strong customer-centric approach to product development.
Jason Rieff's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Leads the product vision, strategy, and execution for Databricks' comprehensive AI platform, focusing on simplifying the end-to-end machine learning lifecycle, including MLOps, model serving, and feature stores, to accelerate AI adoption for enterprises globally.
Played a pivotal role as a Senior Product Manager in developing and scaling Uber's Michelangelo, one of the industry's pioneering end-to-end machine learning platforms. This platform enabled thousands of models in production, significantly impacting various aspects of Uber's operations.
Consistently contributes to the advancement of MLOps practices and enterprise AI adoption through product innovation, thought leadership, and by enabling teams to build robust, scalable, and reliable AI solutions.
Frequently shares insights and expertise on AI/ML product strategy, platform development, and MLOps at industry conferences and events, contributing to the broader community's understanding of building impactful AI products.
AAA School of Advertising
Vega School
Herzlia High
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