Jobs at Databricks

The Sr. Research Scientist will advance deep learning techniques, optimize ML systems, and drive innovations for large-scale neural network training.

As a Senior Staff Applied AI Engineer at Databricks, you will design and build retrieval systems, optimize search for both LLMs and humans, and lead technical direction and team growth.

As a Staff Backline Engineer at Databricks, you will resolve complex technical escalations, enhance product supportability, lead automation initiatives, and act as a liaison between support and engineering teams, ensuring exceptional customer satisfaction through deep technical expertise.

As a Sr. Staff Technical Solutions Engineer, you will provide specialized support to Databricks' strategic customers, solve technical challenges, and optimize performance using Spark and data technologies.

Lead the engineering team in developing next-generation ETL features for Databricks Lakeflow. Oversee recruitment, manage technical debt, and ensure high-quality infrastructure services.

Design AI/BI product experiences that make natural-language data queries and AI-generated insights intuitive, transparent, and actionable. Lead end-to-end design from exploration to validation and action, collaborate with product and engineering, define AI-native enterprise patterns, and influence long-term AI/BI strategy.

Lead the strategy and execution of sales compensation, ensuring transparency and effectiveness across tools and communication. Collaborate with multiple departments to enhance the compensation experience through AI and analytics.

The role focuses on enhancing customer data security, leading security engineering initiatives, and promoting data security practices throughout the organization.

As a Staff Data Scientist, you'll drive data-driven insights, mentor junior staff, and integrate data science tools with engineering teams. You'll lead critical projects and represent data science in various settings.

Design and automate networking foundations for large-scale compute clusters. Lead development of secure, scalable connectivity across cloud providers to support data and AI workloads.

As a Sr. Staff Software Engineer in Observability, you will develop advanced observability solutions, manage infrastructure, and mentor engineers to enhance technical excellence within the team.

Lead the Engineering Team for Vector Search, developing a cloud-native service, managing team growth, and defining product roadmaps.

As a Senior Product Manager for Databricks Repos, you will define and drive the vision for the developer experience related to version control and workflow integration for data and AI applications.

The Strategic Account Executive will acquire new enterprise accounts, develop growth strategies, and establish C-Level relationships in the Digital Natives sector. They will drive revenue by managing complex sales cycles and creating long-term partnerships through tailored solutions.

Own the AI platform product roadmap, drive strategy for ML/AI infrastructure (training, serving, monitoring, vector search, feature stores), partner with engineering and GTM to operationalize AI at enterprise scale, and define pricing and commercialization to increase adoption.

Lead strategy and execution to drive adoption of serverless workspaces, simplify workspace creation, ensure enterprise governance, integrate with Unity Catalog and identity, and define policies to manage workspace proliferation.

The Senior Engineering Manager will lead a team in optimizing cloud infrastructure costs, build intelligent systems for governance, and ensure efficiency in the company's products across multiple cloud environments.

The Digital Native GTM Leader will strategize and drive revenue growth by partnering with high-growth tech companies to implement Data and AI platforms. Responsibilities include global GTM scaling, technical advisory, engaging in strategic sales, and establishing thought leadership in the industry.

The Director of Corporate FP&A will lead financial planning processes, support capital raising efforts, and develop executive reporting materials, while driving process optimization and strategic analysis for senior Finance leaders.

Provide top-tier IT support to executive leadership by resolving technical issues, managing escalations, and enhancing productivity through effective resource management.