Top Tech Jobs & Startup Jobs

Own a geographic territory to originate, advance, and close complex enterprise deals with state and local government agencies. Manage long sales cycles, present to C-level executives, track pipeline in Salesforce, and sell the Databricks Data + AI platform (Spark, Delta Lake, MLflow). Exceed activity, pipeline, and revenue targets while navigating regulated procurement and multi-stakeholder buying committees.

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.

Lead and scale a team of Forward Deployed and AI Engineers delivering enterprise data migrations, lakehouse and Databricks implementations, generative AI and MLOps solutions. Drive regional performance, delivery governance, high-stakes enterprise engagements, executive escalation, hiring, mentoring, and measurable customer impact.

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 strategic enterprise sales within CMEG accounts by building C-level relationships, driving value-based growth, expanding Databricks adoption, exceeding pipeline and revenue targets, managing forecasting in Salesforce, and positioning Databricks' Data + AI platform for new use cases and business units.

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.