engineering
Posted May 6Solutions Engineer - m/f/d
at Langdock
Berlin, GermanyOn-site
Responsibilities
- - Build and deploy solutions: lead On-Site Hackathons, Implementation Sprints, and Architecture Reviews; deliver working agents, integrations, and workflows that customers can own and maintain.
- - Drive use case adoption: make sure customers actually adopt what you build; create documentation, run Office Hours, provide hands-on support, and enable power users to build independently.
- - Create reusable resources: build templates, documentation, and reference architectures that Account Management and Marketing can share with customers and prospects.
- requirements clearly, and work directly with Product and Engineering to close the gaps. - Build your own tools: build MCP servers, develop custom integrations, and use agentic coding tools to build on top of the platform and automate your own workflows.
Requirements
- ABOUT LANGDOCK We help organizations drive internal AI adoption through our enterprise-ready AI platform.
- Our product suite includes AI Chat, Assistants, Search, API, and Workflows - enabling companies to roll out AI internally and build custom AI use cases.
- We are model-agnostic, fully GDPR-compliant, and ISO 27001 & SOC-2 Type 2 certified.
- ABOUT THE ROLE AI is the biggest transformation of our lifetime.
- You understand a customer's workflows, identify where AI creates real leverage, and deliver solutions they can maintain and scale on their own.
- Everyone at Langdock builds AI agents and workflows to automate their own work.
- WHAT YOU WILL DO - Discover and scope high-value use cases: run AI Use Case Workshops, Department Deep-Dives, and Scoping Sessions to identify where AI creates the most impact for each customer.
- experience in a technical, customer-facing role - Solutions Engineering, Technical Customer Success, Technical Consulting, or similar - where you both built things and worked directly with customers on a real technical product. You have
- experience working with enterprise customers on high-impact use cases: scoping projects, managing stakeholders, and delivering outcomes in large organizations where things move slowly, people change roles, and requirements shift.
- You know how to listen for the real problem behind a feature request.
- You understand AI deeply and know how to turn it into working systems.