Senior Customer Success Technical Architect, CSTA

September 2

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Confluent

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Artificial Intelligence • SaaS • Cloud Computing

Confluent is a company that specializes in data streaming platforms which turn real-time data events into actionable outcomes. Their solutions enable the development of intelligent, real-time applications, empowering teams and systems to respond to data instantly. Confluent builds a new data category that impacts the real world by providing the infrastructure for real-time data streaming, which is recognized and partnered with major tech companies like Google Cloud and Microsoft. The company maintains a remote-first culture, hiring talent from over 25 countries, and values diversity and inclusivity in their workplace.

1001 - 5000 employees

Founded 2014

🤖 Artificial Intelligence

☁️ SaaS

💰 Secondary Market on 2021-06

📋 Description

• Act as a trusted technical advisor and advocate to customers to ensure success, retention & expansion by providing technical guidance and best practices for the Confluent product suite • Partner with Customer Solutions, Sales, Product Management and Engineering to accelerate time to value, maximize product consumption and achieve business objectives • Advise customers on architectures, patterns & strategies for operating and maturing Confluent subscriptions • Proactively support customers across technical lifecycle activities: architecture planning, cluster & security design, monitoring & automation, upgrade/migration guidance, platform & application hardening, and high availability design • Guide customers on advanced technical topics such as data mesh, stream processing, utilization optimization and performance tuning • Develop and present periodic customer reviews including analysis of technical health and operational performance to Confluent senior management • Document and transfer knowledge to customers and internal teams; collaborate with Technical Support Engineers and Professional Services • Leverage customer environment knowledge to influence Confluent product roadmap • Troubleshoot and resolve customer issues alongside Technical Support Engineers and Core Engineering when necessary • Opportunity to build broad experience with Kafka, Flink and Confluent IP, working with organizations from startups to large enterprises

🎯 Requirements

• Bachelor's degree in computer science or engineering, mathematics, or equivalent degree or experience • Demonstrated success in a technical Field role for a product / SaaS company with enterprise customers • Passion for working on complex technical problems, with a strong understanding of modern infrastructure and streaming technologies; self-starter who loves a fast-paced environment • Excellent interpersonal & communication skills and an ability to concisely explain tricky issues and complex solutions to a variety of personas • Demonstrated ability to manage multiple customers at a time while paying strict attention to detail and delivering results across multiple initiatives such as driving expansion, customer satisfaction, feature adoption, and retention • Collaborative spirit, outstanding consulting & relationship management skills and ability to rapidly switch context • Hands on knowledge of one or more key cloud vendors (AWS, GCP and Azure) • Solid understanding of cloud networking and security technologies (e.g. VPC, Private Link, Private Service Connect, TLS/SSL, SASL, Kerberos, etc.) • Experience prototyping and analyzing code for client solutions in multiple languages (e.g. Java, Python, Go, etc.) • Experience with Java Virtual Machine (JVM) tuning and troubleshooting • Experience with operating Linux, you know how to configure, tune and troubleshoot both RedHat & Debian based distributions • Ability to learn new technologies quickly, as well as a strong interest in doing so! • Confluent Developer or Administrator certifications (https://www.confluent.io/certification/) • Experience with Apache Kafka & Apache Flink • Experience helping customers build distributed systems or streaming solutions that use Apache Kafka alongside technologies such as Spark, Flink, Hadoop, Cassandra, etc