RDQ427R146
At Databricks, we are building the platform for the next generation of AI-built applications, where developers can go from idea to production using AI coding agents and app-building platforms. We partner with the leading tools developers use to generate, build, and deploy applications, connecting them directly to Databricks data, AI, and application infrastructure. With Databricks Apps and Lakebase, developers can build with their preferred code-gen tools and deploy secure, data-driven applications directly on Databricks. These partnerships are critical to making Databricks a core platform for the rapidly growing ecosystem of AI-generated applications.
Founded in 2013 by the original creators of Apache Spark, Databricks has grown from a tiny corner office in Berkeley, CA to a global organization with over 8,000 employees. Thousands of organizations, from small startups to Fortune 100, trust Databricks with their mission-critical workloads, making us one of the fastest-growing SaaS companies in the world and one of the top 5 move valuable private companies.
As the Sr. Technology Partner Director, AI Code-gen & Apps, you will be responsible for recruiting, developing, managing, and scaling our global partner ecosystem that makes Databricks the best place to build and run AI-generated applications. You will build and own strategic partnerships with leading AI coding agents, app builders, and developer platforms, creating deep product integrations, joint solutions, and GTM plays that connect these ecosystems to Databricks Apps, Lakebase, and the broader Databricks platform.
We are looking for someone with experience building and scaling strategic partnerships across AI code-gen, app-building, or developer tool ecosystems, with a strong track record of driving product integrations, joint GTM, and partner-led growth. The role requires strong technical and GTM acumen, with the ability to work across Product, Engineering, Sales, and Marketing to drive integrations, joint solutions, and go-to-market execution. Success requires deep expertise in large-scale technology ecosystems, strong communication and prioritization skills, and a scrappy, entrepreneurial mindset to build partnerships that establish Databricks as the best place to run transactional database workloads.
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