Staff Solution Sales Engineer

IBM

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Work type: On-site
Location: Bellevue, WA
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 Bellevue, you will join the high-performing sales team to drive technical engagements and support complex enterprise deals. Your primary responsibility is to provide deep technical expertise on Confluent’s data streaming platform, helping customers architect scalable solutions that leverage Kafka and related technologies. Day-to-day activities include conducting workshops, delivering product demonstrations, and collaborating with cross-functional teams to address customer needs. Ideal candidates possess extensive experience in cloud platforms like AWS or Azure, along with a strong background in distributed systems, messaging protocols, and data architecture. Familiarity with big data tools such as Hadoop and Spark is also beneficial. This role demands a deep understanding of the challenges faced by large-scale enterprises in managing real-time data streams and integrating diverse data sources to drive business insights.

Skills

Kafka Confluent APIs REST Python Java SQL Cloud Platforms CI/CD Docker Kubernetes AWS Azure GCP PostgreSQL Messaging Systems RabbitMQ Redis

What you'll do

Analyze customer requirements to recommend Confluent solutions.
Design technical architectures for enterprise data streaming platforms.
Conduct product demonstrations and proof-of-concept projects.
Provide pre-sales technical support and answer complex questions.
Collaborate on sales strategies to close large deals effectively.

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 large enterprises.
Strong understanding of cloud-based integration platforms and messaging systems.
Excellent communication skills with the ability to articulate technical concepts clearly.
Experience working with Confluent Kafka or similar streaming platform technologies.

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