Staff Solution Sales Engineer

IBM

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Work type: On-site
Location: Research Triangle Park, NC
Posted: 10 days ago
Nearby: 99+ roles within 25 mi

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Similar $196k

$136k most similar roles pay here $257k

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TL;DR · Staff Solution Sales Engineer

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As a Staff Solution Sales Engineer at Confluent in Research Triangle Park, you will join the dedicated sales team to drive technical engagements with potential clients. Your primary responsibility is to provide deep technical expertise and demonstrations of Confluent's data streaming platform, helping prospects understand how it can solve their business challenges. Day-to-day activities include preparing detailed product presentations, conducting workshops, and collaborating closely with account teams to close deals. Ideal candidates should have extensive experience with Apache Kafka and related technologies, as well as strong knowledge in cloud platforms like AWS or Azure. The role requires a blend of technical acumen and sales skills to navigate complex enterprise environments and deliver scalable solutions that address large-scale data management issues.

Skills

Kafka Confluent Cloud Platforms APIs Integration Patterns Data Streaming CI/CD DevOps Practices Solution Design Technical Presentations Product Demos Customer Engagement Sales Enablement Market Analysis Competitive Intelligence

What you'll do

Analyze customer requirements to recommend Confluent solutions.
Design technical architectures for enterprise data streaming needs.
Conduct product demonstrations and proof-of-concept projects.
Provide pre-sales technical support and answer complex queries.
Collaborate with sales teams to close deals by addressing tech concerns.

What we're looking for

Minimum 5 years of experience in enterprise software sales.
Proven track record in technical pre-sales and solution engineering roles.
Strong understanding of data streaming, event-driven architectures, and Kafka ecosystem.
Excellent communication skills for engaging with C-level executives and technical teams.
Experience working with Confluent or similar big data technologies preferred.
Bachelor’s degree in Computer Science, Engineering, or related field required.

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