Top Tech Jobs & Startup Jobs

Define the ecosystem strategy for Databricks, develop frameworks and tools for integrations, mentor engineers, and collaborate cross-functionally.

Support Sales Finance by building financial models, analyzing usage and bookings trends, improving forecast reliability, and delivering insights and recommendations to sales and finance leadership.

Lead the IAM team at Databricks, responsible for building authentication, authorization, and identity services, ensuring security and compliance across data solutions.

The Sr. Compensation Manager will develop compensation models, manage processes in the employee life cycle, and partner with leadership to address business needs.

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

The Sr. IT Systems/Automation Engineer leads automation projects, manages mobile security, and collaborates on IT solutions to enhance employee experiences.

Lead product strategy and execution for an enterprise agentic AI platform. Own agent runtime, MCP connectors, intelligence/data layers, evaluation frameworks, developer experience (SDK/CLI/templates), and governance to enable domain teams to build and promote production-grade agentic applications rapidly while ensuring security, quality, and scalability.

Lead a zero-to-one product area building unified, AI-driven employee and manager experiences. Define strategy for agentic automation, partner with engineering and People Ops, deliver integrations across HR systems, set success metrics, and drive adoption and iteration for internal productivity and AI workflows.

Lead technical pre-sales engagements for Databricks in the casino/iGaming vertical: develop engagement strategies, build proofs-of-concept, influence C-level stakeholders, coach junior architects, produce customer-facing collateral, and drive adoption of the Databricks Data Intelligence Platform across cloud environments.

Build and ship production web experiences across databricks.com (landing pages, blogs, hubs, events) on an AI-native platform. Implement components and page systems using a shared design system, integrate with CMSs, optimize for discovery and edge delivery, participate in code review, and adopt AI-native tools and agent-assisted SDLC practices to accelerate development.