Staff Product Manager, Databricks Notebooks

RDQ127R60

At Databricks, we are passionate about enabling data teams to solve the world’s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world’s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI / UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.

More about the team :

A great platform needs an exceptional developer experience. Databricks Notebooks are the primary interface for data scientists, ML engineers, and analysts to explore data, develop pipelines, prototype models, and share insights. The Notebook team is responsible for building the next generation of this experience : a simple, powerful, AI-native environment that brings together code, data, and collaboration in one place.

As a Product Manager, you will drive the creation of an AI-powered, best-in-class Notebook experience on Databricks. We ship surfaces that reach every customer, influence nearly every product area at Databricks, and define how users experience the Databricks every day. As the lead PM for Notebooks, you will shape the core experience that users rely on to turn ideas into live, running data and AI applications.

The impact you will have :

• You will drive the product vision and roadmap for Databricks Notebooks, the most used surface in Databricks.
• You will explore integrating notebooks with cutting-edge generative AI capabilities, such as automated code generation, natural language processing, and predictive analytics.
• You will act as the voice of the customer, integrating user feedback to build developer experience improvements to Databricks authoring surfaces.
• You will grow end-user engagement with Databricks developer tools working closely with sales and customer success teams.

What we look for :