Senior Partner Solutions Engineer - Remote

Overview

We’re not just building better tech. We’re rewriting how data moves and what the world can do with it. With Confluent, data doesn’t sit still. Our platform puts information in motion, streaming in near real-time so companies can react faster, build smarter, and deliver experiences as dynamic as the world around them.

It takes a certain kind of person to join this team. Those who ask hard questions, give honest feedback, and show up for each other. No egos, no solo acts. Just smart, curious humans pushing toward something bigger, together.

One Confluent. One Team. One Data Streaming Platform.

In Short

• Present Confluent and explain value proposition to different audiences (Partner executives, Technical leaders, Architects, etc..)
• Define, build, and deliver repeatable solutions that highlight the partner and Confluent’s joint value propositions
• Build and manage relationships with key technical leaders
• Collaborate internally to support Partner technical initiatives
• Advocate on behalf of Partners’ technical concerns with Confluent internal teams
• Provide architecture guidance and recommendations
• Author whitepapers, technical articles, and blog posts
• Help scale the team by building reusable content and programs
• Ensure successful onboarding, training, enablement, and certification of partner technical resources

Requirements

• Experience as a Sales Engineer or Technical Account Manager or ideally a Partner Solutions Engineer
• Demonstrated hands-on experience architecting complex enterprise solutions
• Experience working with System Integrators in a similar role
• Experience with messaging, streaming, and ETL products
• Experience operating within cross-functional teams
• Ability to quickly learn and work with new technologies
• French and English speaking is required

Benefits

• Knowledge of Apache Kafka and/or other streaming technologies
• Proficiency in other languages
• Experience as a Technical Sales/Systems Engineer in a cloud environment
• Experience designing and building big data and stream processing systems
• Experience working with global teams