Serve as the technical counterpart in customer engagements: run discovery, design streaming architectures, deliver demos and proofs of concept, validate solutions through close, own technical RFPs and handovers, create reusable assets, and represent Ververica in community and events.
Overview
RequirementsBasic Qualifications
BenefitsWhy Join Us?
We are seeking a Sales Engineer who combines strong technical acumen with business awareness. Ververica is the original creator of Apache Flink® and builds the unified streaming data platform that powers real-time decisioning for customers in finance, gaming, telco and manufacturing. As a Sales Engineer, you are the technical counterpart in every customer conversation: you connect customer problems to our platform capabilities, and you translate technical value into business impact. You will work closely with Sales, Product, Customer Success, Marketing and Engineering to help organizations understand, evaluate and adopt Ververica.
In This Role You Will Have The Opportunity To- Discover: run technical discovery to identify customer pain points, current-state architecture and desired outcomes.
- Design: craft tailored streaming architectures and solutions that map Ververica's platform to the customer's data landscape.
- Demonstrate: deliver product demos and lead proofs of concept that prove real, measurable value.
- Win: provide the technical validation that supports the deal and earns customer trust, from first call through to close.
- Own the technical narrative in RFPs, security and architecture reviews, and executive briefings.
- Act as the voice of the customer to Product and Engineering, feeding field insight back into the roadmap.
- Build reusable demo assets, reference architectures and enablement material that scale beyond a single deal.
- Partner with Customer Success to ensure a clean handover and a successful path to production.
- Represent Ververica in the Apache Flink community and at industry events, meetups and webinars.
- Stay current on the streaming, data and AI landscape, and apply that knowledge to sharpen how we position the platform.
RequirementsBasic Qualifications
- Demonstrated experience in a Sales Engineering, Solutions Architecture, Solutions Engineering or comparable customer-facing technical role.
- Hands-on familiarity with data systems: streaming architectures, distributed data processing, data pipelines or analytics platforms.
- Working knowledge of at least one major cloud platform (AWS, Azure or GCP) and of deployment models including on-premises and BYOC.
- Ability to communicate clearly and credibly with both engineers and executives, adjusting depth to the audience.
- Proficiency in SQL, and comfort reading or writing code in at least one language such as Java, Scala, Python or SQL-based streaming dialects.
- Experience scoping and running proofs of concept against customer success criteria.
- Demonstrated ability to take initiative, seek clarity and make things happen with limited supervision.
- Willingness to travel to customers and events as needed.
- Hands-on experience with Apache Flink, Apache Kafka, or comparable stream processing and event streaming technologies.
- Knowledge of containerization (Docker) and orchestration tools (Kubernetes).
- Experience selling or implementing open-source or open-core software, and comfort working with technical communities.
- Exposure to real-time AI and machine learning use cases, including feature pipelines and streaming inference.
- Domain experience in financial services, gaming, telecommunications or manufacturing.
- Experience with data warehouses and lakehouse architectures, and with the ecosystem around them.
BenefitsWhy Join Us?
At Ververica, you will help shape the future of real-time data processing. Founded in 2014 by the original creators of Apache Flink and backed by Alibaba Group since 2019, we combine deep open-source roots with the pace of a scaling company. You will join a remote-first, global and tech-first team where your technical judgment directly shapes how customers adopt streaming, and where real-time meets the next wave of AI.
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