Top Tech Jobs & Startup Jobs

Design and deploy AI-assisted workflows and agents to automate territory design, account assignment, quota modeling, and headcount tracking. Replace spreadsheet-based planning with scalable code, automated data pipelines, and AI-prompt workflows. Build integrations between Salesforce, SQL databases, and Databricks to enable real-time GTM planning and execution.

Represent Databricks to prospective customers, develop territory strategy, build pipeline, drive adoption, and identify use cases. Conduct inbound/outbound outreach (email, cold calls, social selling), provide excellent customer experience, and learn technical solution selling focused on Big Data and AI while collaborating with the wider sales team.

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 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 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.

Customer-facing senior engineer who architects, builds, and productionizes end-to-end data and AI solutions on the Databricks platform. Leads design, implements data pipelines, ML integration, CI/CD, and reusable assets 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 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 and implements production-grade data and AI solutions on Databricks. Leads design, builds end-to-end data pipelines, integrates ML/AI models, enables adoption, delivers projects, contributes reusable assets, and collaborates with product, engineering, and customer teams. Requires deep Spark and multi-cloud expertise and ~20% travel.

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 architects, builds, and productionizes data and AI solutions on the Databricks platform. Leads end-to-end projects spanning data engineering, distributed Spark systems, MLOps, and user-facing applications, embeds with stakeholders, delivers measurable outcomes, and contributes reusable assets and best practices.