Sales Engineer

Ververica | Original creators of Apache Flink®

Sales Engineer designing streaming architectures and demos for Ververica's real-time data platform. Supporting technical validation, proofs of concept, and customer adoption from discovery through production.

Posted 8/17/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Sales Engineering and Solutions Architecture, with a strong focus on streaming architectures and data processing. Proficient in SQL and programming languages such as Java, Scala, and Python, while effectively communicating technical concepts to both engineers and executives.

Highest-signal resume keywords

Sales Engineering ExperienceStreaming ArchitecturesCloud Platform KnowledgeSQL ProficiencyApache Flink Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Sales EngineeringSolutions ArchitectureStreaming ArchitecturesData ProcessingSQLJavaScalaPythonProofs of ConceptData Pipelines

Soft Skills

Clear CommunicationInitiativeCustomer Trust Building

Tools & Technologies

AWSAzureGCPDockerKubernetesApache FlinkApache Kafka

Industry Keywords

Financial ServicesGamingTelecommunicationsManufacturingReal-Time AIMachine Learning

Tech Stack

Tools & technologies

ApacheAWSAzureCloudDockerGoogle Cloud PlatformJavaKafkaKubernetesPythonScalaSQL

About the role

Key responsibilities & impact

Run technical discovery to identify customer pain points, current-state architecture, and desired outcomes
Craft tailored streaming architectures and solutions mapping Ververica's platform to customers' data landscapes
Deliver product demonstrations and lead proofs of concept demonstrating measurable value
Provide technical validation supporting deals and earning customer trust from first call through close
Own the technical narrative in RFPs, security and architecture reviews, and executive briefings
Act as the customer voice to Product and Engineering and feed field insight into the roadmap
Build reusable demo assets, reference architectures, and enablement materials
Partner with Customer Success on clean handovers and successful paths to production
Represent Ververica in the Apache Flink community and at industry events, meetups, and webinars
Stay current on streaming, data, and AI and apply that knowledge to platform positioning

Requirements

What you’ll need

Demonstrated experience in Sales Engineering, Solutions Architecture, Solutions Engineering, or a comparable customer-facing technical role
Hands-on familiarity with streaming architectures, distributed data processing, data pipelines, or analytics platforms
Working knowledge of at least one major cloud platform: AWS, Azure, or GCP
Knowledge of deployment models including on-premises and BYOC
Ability to communicate clearly and credibly with engineers and executives
Proficiency in SQL and comfort reading or writing code in Java, Scala, Python, or SQL-based streaming dialects
Experience scoping and running proofs of concept against customer success criteria
Demonstrated ability to take initiative and work with limited supervision
Willingness to travel to customers and events as needed
Preferred: hands-on experience with Apache Flink, Apache Kafka, or comparable stream processing and event streaming technologies
Preferred: knowledge of Docker and Kubernetes
Preferred: experience selling or implementing open-source or open-core software
Preferred: exposure to real-time AI and machine learning use cases, including feature pipelines and streaming inference
Preferred: domain experience in financial services, gaming, telecommunications, or manufacturing
Preferred: experience with data warehouses and lakehouse architectures

Benefits

Comp & perks

Remote-first, global and tech-first team
Opportunity to help shape the future of real-time data processing
Technical judgment directly shapes how customers adopt streaming
Exposure to the next wave of AI
Backed by Alibaba Group since 2019
Opportunity to represent Ververica at industry events, meetups and webinars