Named Core Account Executive - Retail
Databricks is a data and AI platform that lets organizations build analytics, AI agents, and applications on a unified, governed lakehouse.
Funding history
Investors
About Databricks
Data engineers, analysts, and AI teams use Databricks to process large datasets, build reliable pipelines, and train models on a single governed platform. Users can run SQL analytics, serve ML predictions in real time, and deploy AI agents grounded in enterprise data. Its open lakehouse architecture provides consistent security and governance across analytical and operational workloads.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will own accounts at two of Germany's largest Retail companies, define a clear strategy, and drive revenue and consumption. You'll build C-level relationships, uncover new use cases, orchestrate internal teams and lead negotiations through to close.
Requirements
- Proven record of exceeding revenue targets in complex enterprise sales
- Retail domain expertise preferred
- Success selling data, analytics, big data, AI or cloud software through complex multi-year cycles
- Ability to identify high-impact data and AI use cases and key buying centres
- Understanding of consumption-based land-and-expand models
- Use of sales methodologies such as MEDDPICC, Value Selling or Command of the Message with strong pipeline management and forecasting
- Experience building executive champions and partner strategies
- Willing to travel regionally and internationally
- Fluent in German and English
Responsibilities
- Take ownership of accounts and define a strategy to exceed revenue and consumption goals
- Execute the strategy with urgency to overachieve targets
- Build boardroom-level relationships up to C-level
- Uncover and shape new business and expand use cases to drive platform consumption
- Orchestrate internal teams across the Databricks ecosystem
- Lead insight-led negotiations through to close