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Enterprise Account Executive - Remote

Posted 1 week ago
Sales / Business
Full Time
CA, USA

Overview

As an Enterprise Account Executive at DataStax, you will focus on identifying, negotiating, and closing deals with existing and new accounts, leveraging your industry knowledge to expand and close complex deals in a dynamic environment.

In Short

  • Drive strategic corporate objectives for major brands using DataStax solutions.
  • Understand and deliver on client needs and expectations.
  • Command the message and account planning.
  • Build business cases demonstrating value and differentiation.
  • Collaborate with Data Architects for product expansion strategies.
  • Maintain competitive knowledge and prepare activity reports.

Requirements

  • Experience working with C-level executives.
  • Ability to build and influence relationships with multiple stakeholders.
  • Expertise in evangelizing enterprise technology, especially SaaS.
  • Demonstrated excellence in pipeline generation and opportunity progression.
  • Capability to create trusted customer relationships and understand their needs.
  • Experience in transforming infrastructure into meaningful data for strategic decisions.
  • Familiarity with cloud-based distributed systems.

Benefits

  • Diverse workplace experiences and backgrounds welcomed.
  • Opportunity for career growth and transition support.
  • Dynamic work environment with innovative technology.
  • Engagement with leading developers and enterprises.
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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