Staff Solution Sales Engineer

IBM

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Work type: On-site
Location: Cambridge, MA
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 Cambridge, 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 demonstrations of Confluent’s platform, helping prospects understand how it can solve their data management challenges. Day-to-day activities include crafting tailored solutions, conducting product demos, and collaborating closely with customer success teams to ensure a seamless transition from sales to implementation. The role requires proficiency in Apache Kafka, cloud platforms like AWS or Azure, and strong knowledge of distributed systems and streaming data technologies. You will work within the fast-growing enterprise software space, addressing complex business problems related to real-time data processing and analytics at scale.

Skills

Kafka Confluent AWS Azure GCP Docker Kubernetes CI/CD Python Java SQL PostgreSQL Messaging Systems API Management Data Integration

What you'll do

Analyze customer needs and design tailored solutions using Confluent's platform.
Conduct product demonstrations to showcase the benefits of Confluent’s technology.
Provide technical guidance and support during sales cycles for complex deals.
Collaborate with internal teams to develop new features based on market feedback.
Maintain up-to-date knowledge of industry trends and competitor offerings.

What we're looking for

Minimum 5 years of experience in enterprise software sales.
Proven track record in technical solution selling and consultative sales approach.
Strong understanding of data streaming technologies and platforms.
Excellent communication skills with the ability to articulate complex solutions.
Experience working with cloud providers such as AWS, Azure, or GCP.
Bachelor’s degree in Computer Science, Engineering, or related field preferred.

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