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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.

Partner with sales and customer technical teams to design and deliver scalable Databricks Lakehouse architectures, present reference architectures and demos, validate integrations, and drive adoption of data engineering, data science, and ML solutions. Serve as a trusted technical advisor throughout the sales lifecycle and manage delivery of production data solutions.

Build and ship production web experiences for databricks.com using an AI-native platform. Implement components and page systems, integrate with CMSs, participate in code review, and embed AI tools across the engineering lifecycle to improve discovery, rendering, and deployment.

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.

Customer-facing technical leader who architects, builds, and optimizes large-scale data engineering and lakehouse solutions on Databricks. Supports pre-sales and delivery with POCs, performance/load testing, workload sizing, migrations, observability, and adoption through workshops and community engagement.

Lead technical pre-sales engagements with large, complex customers to design, demonstrate, and drive adoption of the Databricks Lakehouse platform. Develop customer strategies, deliver proofs-of-concept, influence C-level stakeholders, coach account teams, create customer-facing collateral, and represent Databricks across workshops and events. Travel frequently to customer sites and London offices.

Design, build, and operate SAP BTP side-by-side extensions, full-stack Fiori apps, and integrations into the Databricks Lakehouse. Embed generative AI and agentic workflows, move SAP data via CDC/OData/APIs, implement resilient integrations, and maintain quality through testing, CI/CD, and code reviews while collaborating with product and functional teams.

Lead end-to-end functional design and configuration of finance processes on S/4HANA (Record-to-Report, Source-to-Pay, Order-to-Cash), use process mining to prioritize improvements, define AI/agentic automation requirements, bridge finance and engineering, run workshops and UAT, measure KPIs and drive adoption and change management.

The Senior Product Manager will shape the vision and strategy for Databricks Free Edition, enhance user experiences, collaborate with teams, and track success metrics.

Partner with account teams to drive technical sales and adoption of the Databricks Data Intelligence Platform. Design and deliver solution architectures, author reference materials, run demos and workshops, build proofs-of-concept, and act as a trusted advisor on big data analytics and cloud implementations.