Sr. Product Manager, Databricks AI

The shape of it

In the posting’s own words

At Databricks, we are passionate about enabling every organization to harness the power of data and AI. Our mission is to build the best platform for developing, deploying, and operating AI applications at scale—so customers can use intelligence to transform their businesses. More about the Team:

What it asks for · 7

• 5+ years of product management or equivalent experience, preferably with enterprise SaaS or developer platforms.
• Strong technical background in computer science, AI/ML, or related engineering fields (educational or professional).
• Proven ability to partner with senior engineers and research leaders, going deep on technical concepts while maintaining clarity on customer value.
• Track record of bringing products from vision to launch in fast-moving, competitive spaces.
• Strong analytical skills—comfortable working with SQL, product usage data, and operational dashboards.
• Excellent communication and storytelling skills to engage diverse stakeholders (customers, engineering, go-to-market).
• Bonus: exposure to building AI/ML or generative AI–powered products.

What the job covers

• Shape the future of enterprise AI: Define and drive the vision for how Databricks helps customers harness generative AI, agents, and new workloads that don’t exist yet
• Turn breakthroughs into products : Partner with world-class engineering and research teams to transform cutting-edge AI advancements into practical, trusted tools for millions of users.
• Expand what’s possible for customers : Engage directly with data and AI leaders to uncover new use cases — then design products that make the once-impossible accessible and repeatable.
• Be the voice of vision and execution : From concept to launch, you will inspire the roadmap, guide engineering, and tell the story of how Databricks AI is changing what customers can achieve.
• Build for scale and longevity : Define the strategy and principles that will guide Databricks AI for years, even as the industry evolves at unprecedented speed.

Tools and skills named

Words the posting leans on

• customers7×
• products6×
• data4×
• engineering4×
• build3×
• enterprise3×
• vision3×
• agents2×
• ai/ml2×
• applications2×
• building2×
• concept2×
• define2×
• engage2×
• generative2×
• guide2×

Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.

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