Sales Specialist - Data Streaming Platform (DSP) - Confluent

IBM

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Work type
On-site
Location
Brookhaven, GA
Posted
9 days ago

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TL;DR · Sales Specialist - Data Streaming Platform (DSP) - Confluent

As a Sales Specialist for Data Streaming Platform (DSP) at Confluent in Brookhaven, Georgia, you will be part of the sales team responsible for driving growth and adoption of Confluent's Kafka-based streaming data platform. Your primary responsibilities include identifying potential customers, conducting product demonstrations, and closing deals to expand our footprint within the enterprise market. Day-to-day activities involve engaging with technical decision-makers, understanding their business challenges, and showcasing how DSP can provide real-time data processing solutions at scale. The ideal candidate should have experience in cloud technologies, specifically with Apache Kafka and related streaming tools, as well as a strong background in sales methodologies and CRM systems like Salesforce. This role requires expertise in the big data ecosystem and an ability to articulate complex technical concepts to non-technical stakeholders.

What you'll do

  • Manage and grow a portfolio of existing customers for the Data Streaming Platform.
  • Identify new sales opportunities within assigned accounts to expand market reach.
  • Provide product demonstrations and technical presentations to potential clients.
  • Collaborate with internal teams to tailor solutions that meet customer needs.
  • Track sales metrics and report on performance against quarterly targets.

What we're looking for

  • Minimum 3 years of experience in sales or business development.
  • Proven track record in selling data streaming solutions or related technologies.
  • Strong understanding of cloud platforms and their integration capabilities.
  • Excellent communication skills with the ability to articulate complex technical concepts.
  • Experience working with enterprise clients and managing high-value deals.
  • Knowledge of competitor offerings and market trends in data streaming technology.

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