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Commercial Account Executive

Databricks

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Job Details

Location: Paris, France Posted: Apr 03, 2019

Job Description

Mission

As part of our accelerating EMEA growth, Databricks is looking for a dynamic and ambitious Commercial Account Executive to join the rapidly-expanding SEMEA team. This is a fast-paced and exciting new logo Sales role that will make an important impact on the revenue and expansion of our South Europe and MEA business at Databricks.

Outcomes

  • Evangelize Databricks' Unified Analytics Platform powered by Spark and launch the Databricks SEMEA
  • Prospect, identify and source new sales opportunities, building pipeline individually and with the Databricks SDR team
  • Engage with business and technical decision makers and lead them through the evaluation and buying process
  • Close new opportunities with Enterprise companies of 2000+ employees
  • Exceed individual activity, pipeline and annual revenue targets
  • Engage with and drive business through local partners (technology partners, ISVs, SIs and GSIs)
  • Drive customer success and upsell in existing customers

Competencies

Core Values

  • Customer obsession - you love learning about your customer and their needs and are passionate about providing solutions that deliver positive outcomes to their business
  • Partner obsession - you know how to work closely with technology and SI partners
  • Teamwork - you can orchestrate pre- and post-sales teams, co-build account strategies, partner with customers and partners on mutual success plans
  • Data driven - you let the data decide when it comes to making decisions about your business
  • Ownership - you are a natural leader and take ownership of your territory
  • Intellectual curiosity - you always ask ‘why’ and are curious to learn not just about technology, but about your customer

Sales methodology and track record

  • Proven success in Enterprise Sales roles, ideally in Big Data, Cloud, or SaaS technology
  • Demonstrable experience of selling innovation and disruption, ideally in Big Data, Cloud, or SaaS technology
  • Solution and business-outcomes focused sales approach (Command of the Message, MEDDPIC, Challenger Sale)
  • Ability to simply articulate intricate cloud & big data technologies and their business value for the customer
  • Ability to develop C-level relationships
  • Proven success and upward trajectory in whatever you have done - be it professional, academic, sporting, extra-curricular

Candidates must have a strong command of English and be willing to travel regularly to our international offices in Europe and the US.

About Databricks

Databricks’ mission is to accelerate innovation for its customers by unifying Data Science, Engineering and Business. Founded by the original creators of Apache SparkTM, Databricks provides a Unified Analytics Platform for data science teams to collaborate with data engineering and lines of business to build data products. Users achieve faster time-to-value with Databricks by creating analytic workflows that go from ETL and interactive exploration to production. The company also makes it easier for its users to focus on their data by providing a fully managed, scalable, and secure cloud infrastructure that reduces operational complexity and total cost of ownership. Databricks, venture-backed by Andreessen Horowitz, NEA and Battery Ventures, among others, has a global customer base that includes Viacom, Shell, and HP. For more information, visit www.databricks.com .

Apache, Apache Spark and Spark are trademarks of the Apache Software Foundation .

About Databricks

Join us to help data teams to solve the world’s toughest problems. At Databricks, we build platforms to enable data teams to solve the world’s toughest problems, from security threats to cancer drug discovery. Organizations trust us to accelerate their success. Built by the original creators of Apache Spark, our Unified Analytics Platform provides the world’s best data infrastructure so our customers can focus on the high value problems that are core to their missions. Join us – together we can help use data to solve the challenges of tomorrow.

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