Enterprise Data Streaming Solutions Executive

International Business Machines Corporation

Charlotte (NC)

On-site

USD 120,000 - 180,000

Full time

27 hours ago
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Job summary

IBM Global Sales is seeking an Enterprise Account Executive to sell Confluent solutions to National Accounts, driving revenue growth and strategic sales execution. You will own the end-to-end sales cycle, prospecting through negotiation, and will engage with C-level executives to secure large, complex deals.

Responsibilities include building a robust pipeline, leveraging MEDDPICC or Challenger methodologies, and collaborating with Solutions Engineers and other teams to design compelling data

Qualifications

  • 5+ years of quota-carrying sales experience in a competitive market.
  • Experience with consultative, solution-selling in technology (SaaS, cloud, big data, or enterprise IT).
  • Proven track record of meeting/exceeding sales quotas and selling to GCC clients.

Responsibilities

  • Drive revenue growth by acquiring new customers and expanding consumption within enterprise accounts.
  • Own and manage full sales cycle from prospecting to closing complex deals using MEDDPICC or Challenger.
  • Develop robust pipeline by engaging C-level executives and senior stakeholders.
  • Collaborate with Solutions Engineers, Global Account Managers, and Customer Success teams to design effective technical solutions.
  • Be a SME on Confluent offerings, data infrastructure and Kafka landscape.
  • Align with AWS, GCP, Azure, GSIs and GCC-focused Partners.

Skills

Quota-carrying sales
Consultative selling
Strategic sales
Pipeline management
C-level engagement
Negotiation
Solution selling
Cross-functional collaboration

Tools

MEDDPICC
Challenger framework

Job description

IBM Global Sales is seeking an Enterprise Account Executive to sell Confluent solutions to National Accounts, driving revenue growth and strategic sales execution. You will own the end-to-end sales cycle, prospecting through negotiation, and will engage with C-level executives to secure large, complex deals.

Responsibilities include building a robust pipeline, leveraging MEDDPICC or Challenger methodologies, and collaborating with Solutions Engineers and other teams to design compelling data

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