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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 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.

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.

The Senior Customer Enablement Architect drives customer success through tailored training programs, partnering with sales teams and assessing skill gaps to enhance adoption and business outcomes for Databricks' products.

Lead compensation analytics and AI strategy to transform compensation data into insights, tooling, and forecasts. Own market benchmarking, total comp budget forecasting, competitive intelligence, and partner with Finance and senior leaders on compensation design and equity modeling while ensuring data governance and privacy.

Lead a research team focused on enhancing large-scale machine learning models' efficiency and performance, developing novel algorithms and collaborating with engineering teams to implement breakthroughs.

The role involves leading technical strategies for major accounts, implementing data-driven transformations, and showcasing Databricks products through proofs of concept.