Senior Solutions Engineer

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.

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.

• 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)

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.