Startup Account Executive
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P-1445 As a Startup Account Executive at Databricks, you get to work with some of the most exciting, disruptive companies using data to change the world. You are creative and self-motivated with experience running both transactional and strategic sales processes. You know how to sell innovation and change through customer vision expansion 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. Always prospecting for new opportunities, you will close new accounts while expanding existing accounts. Along with the chance to close exciting deals, we also offer accelerators above 100% quota accomplishment. You will report to a regional sales manager. The impact you will have: Build a territory plan by 30 days with a clear account prioritization strategy. Align both new and existing customers with the Lakehouse vision and ecosystem. Be able to range from faster transactions to large strategic deals. Meet and exceed activity, pipeline, and revenue targets; you will be expected to prospect in this role. Maintain clear Salesforce and Clari hygiene including use case, MEDDPICC, revenue forecasts, and account notes. Lead with a customer first mindset and focus on business value What we look for: 1+ years of closing sales experience Prior experience in big data, Cloud, or SaaS sales Be able to quickly learn new technologies and value proposition Experience exceeding sales KPIs and quotas Success closing new accounts while working existing accounts 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 .
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