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12-week paid summer internship where you'll own an end-to-end product project: research customer problems, prototype and test solutions, work with engineers and designers to ship features on Databricks, and iterate with scale, quality, and security considerations.

Join Databricks' 2027 APM cohort to own end-to-end product projects: understand customer problems, prototype and validate ideas, work with engineers and designers to build and launch features on the Databricks platform, and iterate using data-driven feedback.

Lead a team responsible for Databricks' Compute infrastructure, focusing on scaling systems, improving performance, and enhancing engineer productivity through technical leadership and strong design practices.

Architect and build an enterprise-grade, multi-tenant agentic workflow platform for CXI: design backend infrastructure, microservices, APIs, state-machine workflows and LLM orchestration; ensure reliability, observability, security, multi-cloud operations; lead cross-functional technical efforts and mentor engineers.

Coordinate product activities from vision to implementation, understand customer needs, develop strategy, and ensure product success through cross-functional collaboration.

The role involves creating and managing large-scale data and AI products, focusing on user experience, and leading significant engineering efforts.

As the Director of Product Marketing for Databricks AI, you will lead the marketing strategy for AI products, collaborate with teams to create effective campaigns and product launches, and increase global outreach through partnerships.

Lead the architecture and development of an inference engine for Databricks Model API, optimizing for performance and scalability while collaborating with researchers and cross-functional teams.

The role involves defining and owning the product vision and strategy for compute platform features, collaborating with engineering and engaging with customers to drive product success.

The Senior Staff Product Operations Manager will lead operational strategies across Engineering and Product, ensuring alignment and data-driven decision-making to enhance product lifecycle and GTM effectiveness.