Dubbed an "open-source unicorn" by Forbes, Confluent is the fastest-growing enterprise subscription company our investors have ever seen. And how are we growing so fast? By pioneering a new technology category with an event streaming platform, which enables companies to leverage their data as a continually updating stream of events, not as static snapshots. This innovation has led Sequoia Capital, Benchmark, and Index Ventures to recently invest a combined $125 million in our Series D financing. Our product has been adopted by Fortune 100 customers across all industries, and we’re being led by the best in the space—our founders were the original creators of Apache Kafka®. We’re looking for talented and amazing team players who want to accelerate our growth, while doing some of the best work in their career. Join us as we build the next transformative technology platform!
Confluent systems engineers drive the technical evaluation stage of the overall sales process, making them critical drivers of customer success as realtime 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 we're looking for:
Experience with technical sales of distributed systems, infrastructure software like databases, message queues, SaaS, or Big Data products
Exceptional presentation and communications capabilities. Confidence presenting to a highly skilled and experienced audience, including enterprise architects and C-level executives
Clear, consistent demonstration of self-starter behavior and a desire to tackle hard technical problems
Bachelor’s level degree in Computer Science or relevant experience
Proficiency in Java or Python with experience developing ETL applications
What gives you an edge:
Previous experience building solutions with Apache Kafka
Understanding of systems operations concepts (disk, network, operating systems, etc)
Experience building and operating large-scale systems
Culture is a huge part of Confluent, we’re searching for the best people who not only excel at their role, but also contribute to the health, happiness and growth of the company. Inclusivity and openness are important traits, with regular company wide and team events. Here are some of the personal qualities we’re looking for:
Smart, humble and empathetic
Hard working, you get things done
Hungry to learn in a field which is ever evolving
Adaptable to the myriad of challenges each day can present
Inquisitive and not afraid to ask all the questions, no matter how basic
Ready to roll up your sleeves and help others, getting involved in projects where you feel you can add value
Strive for excellence in your work, your team and the company
Come and build with us. We are one of the fastest growing software companies in the market. A company built on the tenets of transparency, direct communication and inclusivity. Come meet the streams dream team and have a direct impact on how we shape Confluent.
Founded by the team that built Apache Kafka®, Confluent builds a streaming platform
that enables companies to easily access data as real-time streams
Every byte of data has a story to tell, something of significance that will inform the next thing to be done. In a data-driven enterprise, how we move our data becomes nearly as important as the data itself. With greater speed and agility, data’s value increases exponentially.
From its very early days, we have open-sourced Apache Kafka™ and have led it to impressive industry-wide adoption across several thousand companies. Now we are focusing on building a streaming platform to help other companies get easy access to enterprise data as real-time streams.