Note: The job is a remote job and is open to candidates in USA. Ververica, the original creator of Apache Flink, builds a unified streaming data platform for real-time decisioning. The Senior Sales Engineer will serve as the technical counterpart in customer engagements by identifying needs, designing streaming solutions, delivering demonstrations and proofs of concept, and supporting adoption in partnership with Sales, Product, Customer Success, Marketing and Engineering.
Responsibilities
- 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
Skills
- 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
Benefits
- Remote-first work arrangement
Company Overview