Top Tech Jobs & Startup Jobs

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 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.

Architect and productionize ML and GenAI solutions on the Databricks platform (RAG, agents, LLMs, MLOps). Guide customers and Solution Architects through design, optimization, monitoring, and deployment of end-to-end ML pipelines, collaborate with product and engineering, mentor SMEs, and support technical pre/post-sales engagements.

Lead technical pre-sales and solution architecture for Databricks Lakehouse customers. Advise sales and product teams, design big data and ML architectures, implement proofs-of-concept, validate cloud integrations, and build technical champions across strategic accounts.

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.

Drive Lakebase adoption by identifying and qualifying opportunities, leading multi-stakeholder sales cycles, orchestrating POCs, and aligning Lakebase to measurable business outcomes. Partner with account teams, solution architects, and partners to enable field selling, shape territory plans, and represent Lakebase externally while driving revenue and platform standardization.

As a Senior Solutions Architect at Databricks, you will lead technical strategy for Greenfield accounts, advise executives, drive customer adoption of data solutions, and mentor junior architects.

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 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.