About this role
SLSQ327R29
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 rely on us to drive the accelerated innovation needed to stay ahead in today’s highly competitive landscape.
We are looking for a Named Enterprise Hunter Account Executive based in Copenhagen, Denmark, to join the team to maximise the phenomenal market opportunity that exists for Databricks across the Nordics. Reporting to the Director of Enterprise Sales, you will be responsible for driving strategic growth and expanding our footprint across the region’s most critical enterprise accounts.
The impact you will have:
Assess your list of assigned accounts and develop a strategy to execute against it
Build a customer base, identifying and closing new logo opportunities
Lead your customers and partners to identify impactful big data and AI use cases whilst proving out their value on the Databricks Lakehouse platform.
Identify land opportunities and develop the expand / consumption use cases.
Orchestrate and utilise internal teams to maximise the impact on your ecosystem.
Build exceptional value with all engagements to guide successful negotiations to close point
What we look for:
Minimum 5+ years of experience selling SaaS solutions to Enterprise Customers
Extensive experience and strong performance in new logo hunting
Experience working in Big Data, Cloud, or SaaS industries with some technical sales experience
Successful experience selling complex software deals and quota over-achievement
Understanding of consumption based land and expand sales models is advantageous
Knowledge of the Data & AI space with some technology sales experience
Evidence of creating demand that delivered substantial business value
Experience of following robust sales methodologies and process, e.g. account planning, MEDDPICC, Value Selling and accurate forecasting
Experience of building effective champions, collaborative teams and partnerships to support execution of your territory plan.
Understanding of how to identify all key uses cases and buying centres in an opportunity to increase the impact of Databricks in an organisation
Fluency in business English and a Nordic language is required
Responsibilities
- Assess your list of assigned accounts and develop a strategy to execute against it
- Build a customer base, identifying and closing new logo opportunities
- Lead your customers and partners to identify impactful big data and AI use cases whilst proving out their value on the Databricks Lakehouse platform.
- Identify land opportunities and develop the expand / consumption use cases.
- Orchestrate and utilise internal teams to maximise the impact on your ecosystem.
- Build exceptional value with all engagements to guide successful negotiations to close point
- Minimum 5+ years of experience selling SaaS solutions to Enterprise Customers
- Extensive experience and strong performance in new logo hunting
- Experience working in Big Data, Cloud, or SaaS industries with some technical sales experience
Requirements
- Successful experience selling complex software deals and quota over-achievement
- Understanding of consumption based land and expand sales models is advantageous
- Knowledge of the Data & AI space with some technology sales experience
- Evidence of creating demand that delivered substantial business value
- Experience of following robust sales methodologies and process, e.g. account planning, MEDDPICC, Value Selling and accurate forecasting
- Experience of building effective champions, collaborative teams and partnerships to support execution of your territory plan.
- Understanding of how to identify all key uses cases and buying centres in an opportunity to increase the impact of Databricks in an organisation
- Fluency in business English and a Nordic language is required
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.