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Enterprise Account Executive - Remote

Posted 3 days ago
Sales / Business
Full Time
IL, USA

Overview

As an Enterprise Account Executive at DataStax, you will play a pivotal role in identifying, negotiating, and closing deals with existing and new accounts, leveraging your industry knowledge to drive strategic corporate objectives.

In Short

  • Focus on identifying and closing deals with existing and new accounts.
  • Provide account leadership in pre- and post-sales processes.
  • Drive strategic objectives for major brands using DataStax solutions.
  • Listen to and understand client needs to meet their expectations.
  • Demonstrate expertise in building business cases.
  • Collaborate with Data Architects for product expansion strategies.
  • Maintain knowledge of competitive positioning in the marketplace.
  • Prepare activity and forecast reports as needed.

Requirements

  • Experience working with C-level executives.
  • Ability to build relationships with multiple stakeholders.
  • Expertise in evangelizing enterprise technology, especially SaaS.
  • Strong skills in Pipeline Generation and Opportunity Progression.
  • Ability to create trusted customer relationships.
  • Experience in helping customers transform their infrastructure.
  • Familiarity with cloud-based distributed systems.

Benefits

  • Opportunities for candidates with diverse experiences.
  • Support for those returning to work or transitioning careers.
  • Dynamic and high-energy work environment.
DataStax logo

DataStax

DataStax is a pioneering company that empowers developers and enterprises to create innovative applications through Generative AI. With a comprehensive Generative AI Stack, DataStax provides the tools necessary for a streamlined and efficient path to production for responsive AI applications. The company is dedicated to solving complex problems and delivering impactful solutions that transform data into strategic business insights. DataStax is looking for passionate and innovative individuals to join their team and contribute to shaping the future of data and AI.

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