Sr. Product Manager, Data Management

RDQ425R29

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: 

Databricks is constantly innovating at the forefront of Data and AI.  In this role you will join a team that is incubating a new product area for Databricks. You will own and drive all aspects of product management including vision, strategy, roadmap, execution, and go-to-market. In addition, you will partner closely with product teams across the Databricks product portfolio including data engineering, data warehousing, governance, and AI/MLproducts.

The impact you will have: 

• Product management for a new and emerging business at Databricks
• Make company wide impact by driving across the Databricks product portfolio 
• Own the full life cycle of product development from ideation to requirements, development, pricing, launch, and go-to-market.

What we look for:

• 5+ years of product management and related experience with enterprise or SaaS products.
• Educational or professional background in computer science or related engineering fields.
• Ability to partner with senior technical leaders from Engineering, while going deep on technical concepts.
• Track record of delivering products with cross-functional teams common to enterprise software industry (field engineering, sales, marketing, partnerships, etc.)
• Analytical skills to make data-driven decisions (e.g. analyze product usage)
• Excellent communication skills to clearly and concisely communicate complex topics to diverse stakeholders (engineers, customers, etc.) in written and verbal form
• A background in Data Warehousing is a plus but not required.