Staff Product Manager, AI Platform

The impact you will have:

• 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.

What we look for:

• 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). Familiarity with recommendation systems is a bonus.
• 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.