Confluent is pioneering a fundamentally new category of data infrastructure focused on data in motion. Have you ever found a new favorite series on Netflix, picked up groceries curbside at Walmart, or paid for something using Square? That’s the power of data in motion in action—giving organizations instant access to the massive amounts of data that is constantly flowing throughout their business. At Confluent, we’re building the foundational platform for this new paradigm of data infrastructure. Our cloud-native offering is designed to be the intelligent connective tissue enabling real-time data, from multiple sources, to constantly stream across the organization. With Confluent, organizations can create a central nervous system to innovate and win in a digital-first world.

We’re looking for self-motivated team members who crave a challenge and feel energized to roll up their sleeves and help realize Confluent’s enormous potential. Chart your own path and take healthy risks as we solve big problems together. We value having diverse teams and want you to grow as we grow—whether you’re just starting out in your career or managing a large team, you’ll be amazed at the magnitude of your impact.

About the Role:

Confluent Enterprise 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 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

At Confluent, we are committed to providing competitive pay and benefits that are in line with industry standards. We analyze and carefully consider several factors when determining compensation, including work history, education, professional experience, and location. This position has an annual estimated salary of $RANGE - $RANGE, a competitive equity package and is also eligible for additional commission and/or bonus pay. The actual pay may vary depending on your skills, qualifications, experience, and work location. In addition, Confluent offers a wide range of employee benefits. To learn more about our benefits click HERE (https://confluentbenefits.com/) .

Click HERE (https://assets.confluent.io/m/218a6fc0d6853fbe/original/20200901-Confluent_Candidate_Privacy_Notice.pdf?_ga=2.185152681.1011754656.1680027617-1279330564.1679420570) to review our Candidate Privacy Notice which describes how and when Confluent, Inc., and its group companies, collects, uses, and shares certain personal information of California job applicants and prospective employees.

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