Top Tech Jobs & Startup Jobs

Partner with sales and engineering teams to design and implement large-scale data and AI architectures on the Databricks platform. Deliver proofs-of-concept, validate cloud and third-party integrations, advise customers on best practices, and promote open-source projects like Spark, Delta Lake, and MLflow.

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.

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.

Lead the Configuration Platform team at Databricks to enhance stability and reliability through configuration systems and feature flags, while advancing team growth and technical standards.

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.

Customer-facing senior engineer who designs, builds, and productionizes end-to-end data and AI solutions on Databricks. Leads architecture, implements data pipelines, integrates ML/AI models, delivers production deployments, and produces reusable assets while collaborating with customers and cross-functional teams.

Customer-facing senior engineer who architects, builds, and productionizes end-to-end data and AI solutions on the Databricks platform. Leads design decisions, implements data pipelines, ML/AI model integration, and user-facing applications, contributes reusable assets, and collaborates cross-functionally to deliver measurable outcomes and operationalized deployments for enterprise clients.

Customer-facing, hands-on engineer who architects and implements production-grade data and AI solutions on Databricks. Leads end-to-end projects (data pipelines, ML model integration, applications), guides customers on architecture, delivers measurable outcomes, contributes reusable assets, and collaborates cross-functionally to influence product and support.

Customer-facing senior engineer who designs, builds, and productionizes end-to-end data and AI solutions on Databricks. Leads architecture, implements data pipelines, integrates ML/AI models and apps, manages technical delivery, and builds reusable assets while embedding with enterprise customers to drive measurable outcomes.