Solutions Engineer - m/f/d

About the role

AI is the biggest transformation of our lifetime. Most companies know they need to move. Few know how. This is where you come in. As a Solutions Engineer in Langdock's Customer Success team, you turn ambition into working solutions. You sit at the intersection of customer, product, and engineering: discovering high-value use cases, scoping them, building them, and making sure they stick . You understand a customer's workflows, identify where AI creates real leverage, and deliver solutions they can maintain and scale on their own. This is a technical role . You write code. You build MCP servers and custom integrations. You work with agentic coding tools daily. You understand our platform at the code level and you're comfortable operating at the boundary between product and engineering. Everyone at Langdock builds AI agents and workflows to automate their own work. As a Solutions Engineer, you set the standard for what that looks like. You work project-based with our most relevant customers: running use case workshops, leading on-site hackathons, building complex agents and integrations, and handing over production-ready solutions. You also serve as the technical expert during Sales conversations, helping prospects understand what's possible and how Langdock fits into their architecture. You work closely with Customer Success to drive adoption, with Product and Engineering to push the platform forward, and with Marketing to create reusable resources that help customers build independently. When you hit a platform limitation, you articulate what needs to change and why, and work with the team to make it happen.

Responsibilities

• 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.
• 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.
• Push the platform forward: identify product limitations blocking high-value use cases, articulate 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

• You have 3+ years of 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 understand AI deeply and know how to turn it into working systems. You can judge when an LLM-based approach is the right tool and when it isn't, and you can hold your own in technical conversations with engineering teams. You write production-quality code in JavaScript and Python,

Additional Information

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 serve over 7,000 customers, from DAX companies to startups, including enterprise clients like Merck KGaA, Der Spiegel, GetYourGuide, Babbel, and Personio. We are model-agnostic, fully GDPR-compliant, and ISO 27001 & SOC-2 Type 2 certified. Made in Germany, backed by Y Combinator.

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