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The Senior Executive Assistant will support the Engineering leader by managing calendars, scheduling meetings, and enhancing team efficiency through effective administrative support.

The Outbound Sales Development Manager will lead BDR team recruitment, coaching, and pipeline generation strategy, collaborating with sales and marketing.

Develop and manage strategic sales in the financial services sector, exceeding revenue targets and ensuring customer satisfaction while articulating technology solutions to key decision-makers.

Lead the technical strategy for public sector accounts in Japan. Design solutions, ensure compliance, and mentor others in leveraging data and AI.

The Enterprise Account Executive will drive sales in Financial Services, managing both new and existing accounts, and exceeding revenue targets using a solution-based approach.

As a Solutions Architect, you will build customer relationships, provide technical expertise, and create tailored solutions using Databricks' platform for complex data challenges.

This role involves partnering with sales for customer engagement, providing technical leadership, consulting on data architecture, and promoting Databricks solutions. Responsibilities include implementing proof of concepts, building reference architectures, and frequent travel to customer sites.

Customer-facing engineer who architects and implements end-to-end Databricks data and AI solutions. Leads production-grade data pipelines, ML/AI model integration, and user-facing applications; manages technical scope and delivery, embeds with customers, contributes reusable assets, and provides product feedback to Databricks teams. Travel to customers ~20%.

Customer-facing engineer who architects, builds, and productionizes end-to-end data and AI solutions on Databricks. Leads design decisions, integrates with customer systems, delivers production data pipelines, ML integrations, and user-facing applications while contributing reusable assets and best practices.

Architect and productionize ML/GenAI solutions on Databricks. Design RAG and agentic systems, build end-to-end MLOps pipelines, optimize training/inference, integrate cloud services, and support solution architects in technical presales and customer deployments.