Staff Product Manager, AI Platform

## Responsibilities - Drive the vision and roadmap for AI platform product areas and define how customers build, train, deploy, and monitor AI and ML systems on Databricks. - Collaborate across engineering teams to deliver an integrated and powerful path from experimentation to production. - Own the product roadmap for AI platform areas — defining what we build, why, and in what order — to accelerate customer adoption of AI and ML in production. - Drive strategy for key AI platform capabilities, shaping how enterprises operationalize AI at scale. - Partner closely with engineering teams to make deeply technical decisions about ML infrastructure — from distributed training architectures to real-time serving systems. - Represent the voice of the customer by engaging directly with enterprise ML teams, translating their pain points and workflows into platform capabilities that simplify the path to production AI. - Collaborate with GTM, Solutions Architecture, and Customer Success teams to drive enterprise adoption, shape field enablement, and inform competitive positioning. - Define pricing, packaging, and commercialization strategy for AI platform features, working with business teams to maximize value capture. - Grow end-user engagement with Databricks AI tools by identifying adoption bottlenecks and partnering cross-functionally to remove them. ## Requirements - 5+ years of experience as a Product Manager working on platform or infrastructure products, ideally in ML/AI, data, or cloud services. - Deep technical background — CS, EE, or equivalent degree strongly preferred; former software engineer experience is a significant plus. You should be comfortable going deep on system architecture, writing technical specs, and engaging credibly with world-class ML engineers. - Experience with ML/AI infrastructure, data platforms, or cloud services (e.g., model training, model serving, feature stores, vector search, LLM infrastructure, ML pipelines, or similar systems). - Proven enterprise B2B product management experience with highly technical customers — you have shipped platform products, driven commercial outcomes, and worked with field teams to land enterprise deals. ## Nice to Have - Familiarity with recommendation systems. ## Benefits - Work with a team that ships products used by thousands of the world's most sophisticated data and AI organizations. - Be part of a company that is passionate about enabling data teams to solve the world's toughest problems. - Collaborate across some of the most technically demanding areas in the platform, including recommendation systems, real-time inference, large-scale distributed training, LLM infrastructure, vector search, and feature stores. - Contribute to a mission to make it radically easier for enterprises to put AI into production by providing a unified, governed, and performant AI platform that integrates deeply with the Databricks Data Intelligence Platform.