Jobs at Databricks

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.

Lead technical relationships with major AI labs to define joint roadmaps, design and build platform-to-platform integrations, create POCs and reference architectures, enable strategic customers, and produce field enablement content. Act as hands-on technical owner across product, engineering, partnerships, and GTM to drive joint AI solutions.

Lead and deliver complex, multi-quarter Professional Services engagements for CMEG customers. Drive regional booking and consumption goals, shape account and sales strategy for PS&T, mentor junior managers, build strategic executive relationships, and apply deep Databricks technical and architectural expertise. Travel 25–50% as required.

Lead customer-facing projects to design, build, and productionize data and AI solutions on Databricks. Own architecture, implement end-to-end data pipelines, ML/AI model integration, and user-facing applications; collaborate with engineering, product, and support to deliver scalable, secure systems and reusable accelerators while driving customer adoption and measurable outcomes.

The Finance Manager will partner with Product Support to manage the Support P&L, build capacity models, assess financial impacts, and drive operational improvements. Key responsibilities include designing KPIs, analyzing financial data, and facilitating cross-functional collaborations for strategic planning.

Lead design for a 0-to-1 agent-driven AI product that makes Lakehouse data actionable. Define workflows, conduct user research, collaborate with PM and engineering, create intuitive visual and interaction designs, and mentor junior designers.

Develop and manage the research infrastructure for AI at Databricks, focusing on large-scale training, orchestration, and improving developer productivity.

Customer-facing solutions architect driving Databricks platform adoption in financial services: design distributed data architectures, run proofs-of-concept, build reference architectures, demo integrations with cloud and third-party services, and support sales through technical leadership and customer engagements.

Lead and grow a regional Lakebase specialist sales team to drive adoption of Databricks for operational, real-time, and transactional workloads. Own regional revenue targets and pipeline, coach specialists on deal strategy and technical qualification, execute developer/platform sales motions, engage senior technical executives and partners, and provide field feedback to product and GTM teams.

Enterprise account executive responsible for selling Databricks' cloud data platform to hi-tech enterprise accounts. Build territory plan, engage CIOs and IT/LOB leaders, manage full sales cycles, close new and existing accounts, track opportunities in Salesforce, exceed pipeline and revenue targets, and ensure customer satisfaction.

The Industry Lead Solutions Architect will define and execute Databricks' strategy in Financial Services, engaging with partners and customers, overseeing technical assets, and training Solutions Architects.