Staff Solution Sales Engineer

IBM

Quick summary

Work type: On-site
Location: Armonk, NY
Posted: 10 days ago
Nearby: 62 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 Armonk, NY, you will join the high-performing sales team to drive technical engagements and solution selling for enterprise customers. Your primary responsibilities include conducting deep-dive technical presentations, architecting scalable data streaming solutions, and collaborating with cross-functional teams to address complex business challenges. You will leverage your expertise in Apache Kafka, cloud platforms like AWS and Azure, and programming languages such as Java and Python to build innovative solutions that meet customer needs at scale. This role demands a strong background in distributed systems, data engineering, and experience working within the enterprise software domain, where you can make significant contributions to Confluent’s mission of enabling real-time data streaming across organizations.

Skills

Kafka Confluent CI/CD AWS Azure GCP Docker Kubernetes Terraform Python Java PostgreSQL MongoDB Git Jenkins

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 questions.
Collaborate with sales teams to close deals on large-scale projects.

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 and analytics solutions to Fortune 1000 companies.
Strong understanding of cloud platforms like AWS, Azure, and GCP for integration with Confluent products.
Excellent communication skills with the ability to articulate technical concepts to non-technical stakeholders.
Experience in building and maintaining relationships with key decision-makers in large enterprises.

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