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Sell Databricks' cloud data platform to Financial Services accounts by building and expanding customer relationships, meeting CIOs and executives, closing new and existing accounts, managing pipelines and forecasts in Salesforce, exceeding revenue targets, identifying quick wins and long sales cycles, and coordinating internal and external success plans.

The Enterprise Account Executive will drive sales in Financial Services, managing both new and existing accounts, and exceeding revenue targets using a solution-based approach.

Sell Databricks enterprise cloud data platform to Financial Services accounts. Manage full sales cycle with CIOs and IT/LOB execs, grow existing accounts, close new business, meet pipeline and revenue targets, track activity in Salesforce, and promote value of Spark and Databricks solutions.

Lead delivery and hiring for Profile Agents within CustomerLake, building agent-driven pipelines, identity/entity resolution, and production Customer360 outputs. Define product/architecture, ensure reliability and governance, work with customers, and scale the team and platform.

The Technical Product Manager will enhance user experiences by collaborating with teams, defining product roadmaps, and improving data governance and database capabilities.

Customer-facing senior engineer who architects, builds, and productionizes end-to-end data and AI solutions on Databricks. Leads design, implements data pipelines, ML/AI integrations, CI/CD deployments, and reusable accelerators while embedding with customers to drive measurable outcomes.

The Staff Software Engineer will innovate in building new products using modern UX/UI technologies, focusing on complex data and workflows. Responsibilities include creating interfaces for GenAI agents, visualizations, and collaborative environments for large-scale data projects.

The Staff Software Engineer will develop and maintain infrastructure for AI research, improve tooling for researchers, and mentor engineers in creating scalable systems for experiments and model training.

Lead customer adoption of the Databricks Lakehouse platform by designing architectures, building proofs-of-concept, demonstrating integrations with cloud services, troubleshooting critical issues, and evangelizing open-source projects like Spark, Delta Lake, and MLflow. Partner with sales and present technical solutions to customers.

Build and improve backend AI infrastructure powering model training, serving, and developer-facing AI products. Improve reliability, latency, and efficiency of distributed AI workloads, collaborate with platform and ML teams, and ship scalable APIs and deployment workflows for Databricks AI services.