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.
About the Role:Confluent Solutions Engineers drive the technical evaluation stage of the overall sales process, making them critical drivers of customer success as real-time data streams become more and more important in the modern enterprise. In this role, you will be the key technical advisor to the sales team, work very closely with the product management and engineering teams, and serve as a vital product advocate in front of prospects, customers, and the wider Kafka and Big Data communities.
You will be a key technical advisor to Confluent customers as they undertake technical design and development of their end-to-end solution, be conversant with the current state and future roadmap of Kafka in open source, and be able to identify known issues and inform them of upcoming fixes or workarounds. You’ll also be responsible for clear articulation of Confluent’s technical and product positioning to a wide variety of business and technical stakeholders, and for forging strong relationships with them throughout the sales cycle and beyond.
What You Will Do:Help advance new & innovative Data Streaming use-cases from conception to Go-Live
Execute on and lead Technical Proofs of Concept
Conduct Discovery & Whiteboard Sessions to develop new use-cases
Provide Thought Leadership by delivering Technical Talks and Workshops
Guide customers with hands-on help and best practice to drive operational maturity of their Confluent Deployment
Analyze Customer Consumption trends and identify Optimization opportunities
Work closely with Product and Engineering teams, and serve as a key Product advocate across the Customer, Partner and Industry ecosystem
Forge strong relationships with key customer stakeholders and serve as a dependable partner for them
Becoming a Trusted Advisor to key customer personas we engage with including Software Engineers, Architects and Technical Executives to drive platform consumption
Autonomously lead engagements with customers whilst working closely with Account Executive and other internal teams
Having an understanding of MEDDIC/MEDDPICC or similar frameworks used for qualification
Exceptional presentation and communications capabilities. Confidence presenting to a highly skilled and experienced audience, including enterprise architects and C-level executives
Experience with technical sales of distributed systems, infrastructure software like databases, message queues, SaaS, or Big Data products
Some experience in Java or Python and familiarity with developing ETL applications
Bachelor’s level degree in Computer Science or relevant experience
Previous experience building solutions with Apache Kafka
Understanding of systems operations concepts (disk, network, operating systems, etc)
Experience building and operating large scale systems
Belonging isn’t a perk here. It’s the baseline. We work across time zones and backgrounds, knowing the best ideas come from different perspectives. And we make space for everyone to lead, grow, and challenge what’s possible.
We’re proud to be an equal opportunity workplace. Employment decisions are based on job-related criteria, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by law.
