RDQ427R276
This Product Manager will drive the vision and roadmap for AI platform areas at Databricks, focusing on making it easier for enterprises to put AI into production. The role involves defining product strategy, collaborating with engineering on technical decisions for ML infrastructure, and engaging with customers to translate their needs into platform capabilities. The ideal candidate will have 5+ years of experience in product management for platform or infrastructure products, with a deep technical background in ML/AI or data.
The AI Platform team at Databricks is dedicated to building the infrastructure that powers machine learning and AI at scale. Their products cover the entire ML lifecycle, from feature engineering and model training to model serving and monitoring, enabling data and AI teams to confidently build, deploy, and operate production ML systems. This team works on technically demanding areas such as recommendation systems, real-time inference, large-scale distributed training, LLM infrastructure, vector search, and feature stores.
The mission is to simplify the process for enterprises to deploy AI into production by offering a unified, governed, and performant AI platform. This platform deeply integrates with the Databricks Data Intelligence Platform, connecting MLflow, Unity Catalog, Model Serving, Vector Search, Feature Engineering, LLM, and Agent infrastructure into a cohesive experience. As part of this team, you will drive the vision and roadmap for AI platform product areas, defining how customers build, train, deploy, and monitor AI and ML systems on Databricks. You will collaborate with engineering teams to deliver an integrated and powerful path from experimentation to production.
Posted June 5, 2026