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Drive net-new enterprise accounts for Databricks across targeted organisations. Develop account strategies, identify use cases and buying centers, shorten decision cycles, close consumption-based deals, co-sell with cloud partners, orchestrate cross-functional teams, and secure executive sponsorship to grow consumption and adoption.

Architect and implement production-grade ML and AI workloads on the Databricks platform, lead enterprise GenAI solutions (RAG, agentic systems, LLMOps), build MVPs for sales cycles, influence product roadmap, mentor colleagues, create technical tutorials, present at conferences, and support customer adoption. Travel up to 30%.

As a Deployment Strategist, you'll act as the crucial link between clients and Databricks, managing the end-to-end project lifecycle and ensuring successful adoption of AI solutions.

Sell Databricks Lakebase (fully-managed Postgres) to platform, application, and data teams across MEA. Drive revenue by qualifying opportunities, running POCs, leading multi-stakeholder sales cycles, positioning Lakebase for operational/AI-native apps, and enabling account teams and partners to scale adoption.

Lead technical pre-sales engagements with large, complex customers to design, demonstrate, and drive adoption of the Databricks Lakehouse platform. Develop customer strategies, deliver proofs-of-concept, influence C-level stakeholders, coach account teams, create customer-facing collateral, and represent Databricks across workshops and events. Travel frequently to customer sites and London offices.

Legal Counsel will provide legal support for EMEA commercial activities, negotiate customer agreements, support sales teams, and improve legal processes with AI tools.

The Senior Solutions Architect will engage with complex customers to guide them in adopting Databricks' Data Intelligence Platform, develop engagement strategies, and influence decision-makers through technical expertise.

Sell Databricks Lakebase (managed Postgres) to UKI customers by driving revenue, running multi-threaded sales cycles, orchestrating POCs, engaging platform and application teams, and enabling field teams to adopt Lakebase for operational and AI-native applications.

Sell Databricks Data Intelligence Platform into large financial services accounts. Develop industry-specific use cases, co-develop business plans with partners, drive adoption of usage-based subscriptions, manage executive relationships, lead cross-functional teams, and close complex enterprise deals to exceed bookings and usage targets.

Customer-facing engineer who architects, builds, and productionizes data and AI solutions on Databricks. Leads end-to-end projects including data pipelines, distributed Spark workloads, MLOps and model integration, provides architecture guidance, embeds with customer teams, delivers reusable assets, and drives measurable outcomes.