Staff Solution Sales Engineer

IBM

Quick summary

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

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How this pay compares to similar roles

Similar $196k
$136k most similar roles pay here $257k

This listing doesn't post a salary. Most similar roles pay $165,000–$226,337.

Based on 240 similar postings.

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TL;DR · Staff Solution Sales Engineer

As a Staff Solution Sales Engineer at Confluent in Brookhaven, Georgia, you will join the high-performing sales team to drive technical engagements and support complex enterprise deals. Your primary responsibilities include conducting deep-dive architectural reviews, delivering product demonstrations, and crafting tailored solutions for large-scale data streaming challenges. Day-to-day, you will engage with key stakeholders, provide thought leadership on Apache Kafka and related technologies, and collaborate closely with pre-sales teams to ensure successful customer outcomes. Ideal candidates possess extensive experience in cloud platforms like AWS or Azure, along with a strong background in distributed systems, messaging protocols, and real-time data processing. Knowledge of Python, Java, and SQL is highly valued, as you will work within a fast-paced environment addressing critical business needs for global enterprises.

What you'll do

  • Analyze customer requirements to recommend appropriate Confluent solutions.
  • Design technical architectures for enterprise data streaming platforms.
  • Conduct product demonstrations and proof-of-concept implementations.
  • Provide pre-sales technical support and answer complex technical questions.
  • Collaborate with sales teams to close deals by addressing client needs.

What we're looking for

  • Minimum 5 years of experience in enterprise software sales or technical pre-sales.
  • Proven track record of selling complex data integration and streaming solutions.
  • Strong understanding of cloud platforms like AWS, Azure, and GCP.
  • Excellent communication skills with the ability to articulate technical concepts.
  • Experience working with Confluent Kafka or similar event streaming technologies.
  • Bachelor’s degree in Computer Science, Engineering, or related field required.

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