Named Enterprise Account Executive (Manufacturing, Energy and Industrial)
About this role
SLSQ426R394
Want to help solve the world's toughest problems with data and AI? This is what we do every day at Databricks.
Databricks operates at the leading edge of the Data and AI space. Our customers turn to us to lead the accelerated innovation their businesses need to gain first-mover advantage in today's ultra-competitive landscape.
We are looking for a creative, delivery-oriented Named Enterprise Account Executive to join the team in the Netherlands to maximise the phenomenal market opportunity that exists for Databricks. As an Account Executive, you know how to sell innovation and value to existing customers, identify new use cases and grow consumption and can guide deals forward to compress decision cycles. You love understanding a product in depth and are passionate about communicating its value to customers and partners. You will be offered huge potential for career progression with the pace of the team's growth.
You will report to the Sales Director for Manufacturing, Energy and Industrial, Benelux.
The impact you will have:
Assess your territory and develop a successful execution strategy
Drive quarter-on-quarter consumption growth in existing accounts
Exceed activity and quarterly revenue targets
Track all customer details including use case, purchase time frames, next steps, and forecasting in Salesforce
Identify new use case opportunities and showcase value to existing customers
Promote the value of the Databricks' Data Intelligence Platform
Orchestrate and utilise our field engineering teams to ensure valuable outcomes for clients
Build and demonstrate value with all engagements to guide successful negotiations to close point
What we look for:
Extensive understanding of the data platform, open source and cloud ecosystems
Highly skilled in prospecting research and ability to map out key stakeholders
Demonstrated success in Value Selling and developing a mutual action plan
Ability to influence decision-making and strategy with customer leadership teams
Ability to establish credibility with the C-suite
Adept in selling to technical buyers
Experience growing consumption and closing commit deals in a direct sales role
Mastery of MEDDPICC
Bachelor's Degree or relevant work experience
Fluency in English is required, fluency in Dutch is preferred
Responsibilities
- Assess your territory and develop a successful execution strategy
- Drive quarter-on-quarter consumption growth in existing accounts
- Exceed activity and quarterly revenue targets
- Track all customer details including use case, purchase time frames, next steps, and forecasting in Salesforce
- Identify new use case opportunities and showcase value to existing customers
- Promote the value of the Databricks' Data Intelligence Platform
- Orchestrate and utilise our field engineering teams to ensure valuable outcomes for clients
- Build and demonstrate value with all engagements to guide successful negotiations to close point
- Extensive understanding of the data platform, open source and cloud ecosystems
Requirements
- Highly skilled in prospecting research and ability to map out key stakeholders
- Demonstrated success in Value Selling and developing a mutual action plan
- Ability to influence decision-making and strategy with customer leadership teams
- Ability to establish credibility with the C-suite
- Adept in selling to technical buyers
- Experience growing consumption and closing commit deals in a direct sales role
- Mastery of MEDDPICC
- Bachelor's Degree or relevant work experience
- Fluency in English is required, fluency in Dutch is preferred
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.