Sales Engineer (m/f/d)

• 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.

Basic 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.

Preferred Qualifications• 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.

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.