Enterprise National Accounts AE: Data Streaming & Growth

IBM

New York (NY)

On-site

USD 120,000 - 180,000

Full time

3 days ago
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Job summary

IBM Global Sales seeks an Enterprise Account Executive to sell Confluent solutions to National Accounts. You will drive revenue, manage the full sales cycle, and lead with a consumption/growth mentality to exceed quarterly targets.

Collaboration with Solutions Engineers and cross-functional teams is essential to design customer-centric data streaming solutions. You will develop pipelines, engage C-level executives, and leverage MEDDPICC or Challenger methodologies to close complex deals.

Qualifications

  • 5+ years of proven, quota-carrying sales experience in a competitive market.
  • Experience in consultative, solution-selling in technology (SaaS, cloud, big data, open-source, or enterprise IT).
  • Experience selling into GCC clients is a must.
  • Proven track record of meeting or exceeding sales quotas consistently.
  • Strong understanding of data, cloud technologies, open-source, and data streaming/Kafka (Confluent) solutions.

Responsibilities

  • Own and manage the entire sales cycle from prospecting to closing complex deals using structured sales methodologies.
  • Proactively identify, qualify, and develop a robust sales pipeline with C-level executives and senior stakeholders.
  • Understand customer needs and present tailored value propositions for business outcomes using Confluent's platform.
  • Collaborate with Solutions Engineers, Global Account Managers, Professional Services, and Customer Success teams.
  • Maintain accurate CRM records, provide regular sales reports, and forecast sales accurately.

Skills

Quota carrying sales
Consultative selling
C-level engagement
Strategic account management
CRM & forecasting

Job description

IBM Global Sales seeks an Enterprise Account Executive to sell Confluent solutions to National Accounts. You will drive revenue, manage the full sales cycle, and lead with a consumption/growth mentality to exceed quarterly targets.

Collaboration with Solutions Engineers and cross-functional teams is essential to design customer-centric data streaming solutions. You will develop pipelines, engage C-level executives, and leverage MEDDPICC or Challenger methodologies to close complex deals.

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