Staff Solution Sales Engineer

IBM

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Work type: On-site
Location: San Francisco, CA
Posted: 10 days ago
Nearby: 99+ roles within 25 mi

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Similar $196k

$136k most similar roles pay here $257k

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

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TL;DR · Staff Solution Sales Engineer

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As a Staff Solution Sales Engineer at Confluent in San Francisco, you will join the high-performing sales team to drive technical engagements with potential clients. Your primary responsibility is to provide deep technical expertise and demonstrate how Confluent’s platform can solve complex data management challenges for enterprises. Day-to-day activities include conducting product demonstrations, preparing detailed technical proposals, and collaborating closely with customer success teams to ensure smooth onboarding and adoption of Confluent solutions. Ideal candidates possess extensive experience with Apache Kafka, cloud platforms like AWS or Azure, and have a strong background in distributed systems and data architecture. This role requires not only technical prowess but also excellent communication skills to bridge the gap between engineering and business stakeholders, ensuring that clients fully understand the value and capabilities of Confluent’s offerings.

Skills

Kafka Confluent Cloud Platforms CI/CD API Development Data Integration Scalable Systems DevOps Practices Enterprise Solutions Consultative Selling Technical Presentations Solution Architecture Customer Engagement Product Demonstrations Requirements Gathering

What you'll do

Analyze customer requirements to design and propose Confluent solutions.
Conduct product demonstrations to showcase Confluent's capabilities effectively.
Collaborate with sales teams to close deals by providing technical expertise.
Develop comprehensive documentation for proposed solutions and use cases.
Maintain up-to-date knowledge of Confluent products and industry trends.

What we're looking for

Minimum 5 years of experience in enterprise software sales engineering.
Proven track record in technical pre-sales support for complex data solutions.
In-depth knowledge of Apache Kafka and related streaming technologies.
Strong understanding of cloud platforms such as AWS, Azure, or GCP.
Excellent communication skills to engage with C-level executives effectively.
Ability to analyze customer requirements and design scalable architecture solutions.

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