Solutions Engineer - m/f/d

About the role

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.

What you'll do

• Run AI Use Case Workshops, Department Deep-Dives, and Scoping Sessions to identify where AI creates the most impact for each customer.
• Lead On-Site Hackathons, Implementation Sprints, and Architecture Reviews; deliver working agents, integrations, and workflows that customers can own and maintain.
• Join sales conversations to answer technical questions, build tailored demos and proof-of-concept environments, evaluate integration architectures, and help prospects understand what Langdock can do for them.
• Ensure customers actually adopt what you build; create documentation, run Office Hours, provide hands-on support, and enable power users to build independently.
• Build templates, documentation, and reference architectures that Account Management and Marketing can share with customers and prospects.
• Identify product limitations blocking high-value use cases, articulate requirements clearly, and work directly with Product and Engineering to close the gaps.
• Build MCP servers, develop custom integrations, and use agentic coding tools to build on top of the platform and automate your own workflows.

What you'll need

• 3+ years of experience in a technical, customer-facing role such as Solutions Engineering, Technical Customer Success, or Technical Consulting.
• Experience working with enterprise customers on high-impact use cases: scoping projects, managing stakeholders, and delivering outcomes in large organizations.
• Ability to run workshops with senior stakeholders and follow up with sharp scoping documents that align everyone.
• Production-quality code in JavaScript and Python, and comfort with HTML/CSS, APIs, and integration architectures.
• Deep understanding of AI and ability to judge when an LLM-based approach is the right tool and when it isn't.
• Fluency in English (C1+). German is a strong plus.

Nice to have

• Background in technical consulting, an AI-native company, or an early-stage startup.
• Experience with enterprise software, developer tools, or platform products.

What they offer

• Competitive salary with equity participation
• Free lunch and dinner every day in the office
• Premium gym access
• Relocation support for those moving to Berlin