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Lead development of CustomerLake personalization using ML and LLMs: evaluate and improve models in production, build evaluation and optimization frameworks tied to business metrics, partner with product and design to deliver scalable MVPs, and set technical best practices for ML/AI personalization.

Lead customer-facing delivery of production-grade data and AI solutions on Databricks. Own architecture, design, implementation, deployment, and technical project outcomes across data engineering, distributed computing, ML/AI, and applications. Embed with enterprise customers, guide adoption, resolve technical issues, collaborate cross-functionally, and create reusable assets. The role requires strong engineering, cloud, communication, stakeholder-management, and customer empathy skills, with 20% travel.

Build features for the Databricks platform across areas such as backend, infrastructure, systems, cloud, databases, tools, and customer-facing products. Interns manage projects end-to-end, including design, coding, and incorporating feedback, while working with engineering teams to build scalable, high-quality, secure systems. Each intern receives mentorship and collaborates with engineers, peers, and company leaders.

Manage and launch innovative learning programs globally, enhance user adoption, and leverage AI and data for effective enablement.

Lead Databricks’ Benelux enterprise sales team, owning quota attainment, revenue forecasting, territory planning, hiring, coaching, customer and partner relationships, and consumption-based growth strategies. The role requires enterprise software sales leadership across data, AI, cloud, or SaaS, executive-level customer engagement, MEDDPIC and Challenger sales methodologies, and collaboration with EMEA leaders to deliver predictable growth.

Provide technical support for the Databricks Platform, troubleshooting complex customer issues, advising on architecture and performance, supporting third-party integrations, and coordinating with engineering and escalation teams. Create documentation, advocate for customers, develop cloud and Databricks expertise, and participate in on-call rotations.

Own full-cycle recruiting for technical go-to-market roles across Singapore and the ASEAN/Greater China region. Partner with Field Engineering and Sales leaders on sourcing strategy, market mapping, compensation positioning, talent insights, workforce planning, and closing strategies. Build pipelines of passive technical talent, improve hiring processes through data and metrics, deliver an excellent candidate experience, and support diverse, high-caliber workforce growth in a fast-paced environment.

Support Sales Finance by building financial models, analyzing usage and bookings trends, improving forecast reliability, and delivering insights and recommendations to sales and finance leadership.

Develops data and AI architectures for strategic customers, leads technical pre-sales engagements, builds proofs of concept, validates cloud and third-party integrations, and advises on data engineering, data science, machine learning, and SQL workflows. The role also promotes Databricks technologies and open-source projects while partnering with sales, product, engineering, and customer teams.

Lead Databricks’ global technology partner ecosystem for AI coding agents, app builders, and developer platforms. Own partnership strategy, strategic ISV integrations, joint solutions, go-to-market initiatives, enablement, and partner-led growth. Collaborate cross-functionally with Product, Engineering, Sales, Marketing, and Business Operations to launch integrations, influence product roadmaps, and increase customer adoption across the developer tooling and database ecosystem.