Forward Deployed Engineer

About the Role

We're a fast-growing, seed-stage AI startup automating inside sales processes - quoting, order handling, and product matching - for distributors and manufacturers. Our platform integrates deeply into enterprise ERP and CRM systems (including SAP and Oracle) and is trusted by a growing number of customers across industries like HVAC, electrical, and building materials.

As a Forward Deployed Engineer, you'll be the critical technical bridge between our AI product and its real-world deployment inside complex enterprise environments. You'll own the full implementation lifecycle - from sales handoff to go-live - working directly with customers every day while feeding insights back to the core engineering team. This is a high-ownership, high-impact role at the intersection of engineering, product, and customer success.
What You'll Do

• Own end-to-end technical implementation of customer deployments, from initial handoff through go-live.
• Configure and fine-tune AI models for customer-specific use cases, including prompt engineering and model behavior adjustments.
• Structure customer data and build system integrations with platforms like SAP and various REST/GraphQL APIs.
• Interpret unstructured RFQs (PDFs, emails, Excel files) and translate them into automated quoting workflows.
• Develop prototypes to demonstrate new features or solve emerging customer problems, then evolve them into scalable solutions.
• Engage daily with technical users and senior business stakeholders to translate real pain points into engineering decisions.
• Act as the voice of the customer internally, surfacing product gaps and patterns to the core engineering team.

What We're Looking For

Required:

• Native fluency in German (non-negotiable).
• Strong full-stack engineering skills - comfortable with Python, React, TypeScript, SQL, and APIs across frontend, backend, and data pipelines.
• Proven experience delivering customer-facing software deployments and gathering client requirements.
• Hands-on experience with system integrations: ERP systems, REST/GraphQL APIs, webhooks, or B2B SaaS implementations.
• Ability to wrangle messy, inconsistent real-world data and establish reliable structures quickly.
• Practical experience with LLMs, AI agents, and prompt engineering, with ability to adapt model behavior to specific domains.
• Excellent written and verbal communication skills - able to explain complex technical concepts to diverse audiences.
• High agency and ownership mindset; proactively identifies and drives solutions without needing explicit direction.
• Comfortable with ambiguity, imperfect data, and legacy systems; scrappy and resourceful problem-solver.
• Willingness to work on-site in Munich with a high-intensity work ethic.

Nice to Have:

• Familiarity with AI/ML concepts and reinforcement learning, particularly product-matching engines.
• Background in distribution, manufacturing, or industrial sales technology.

Compensation & Benefits

• Salary: €90,000 - €200,000 annually, depending on experience.
• Opportunity to make a direct, lasting impact at an early-stage company in a high-growth market.
• Work closely with a lean, high-caliber team with backgrounds spanning top consulting firms, enterprise software, and applied research.

Location

• Munich, Germany - on-site.
• Visa sponsorship is not available; candidates must have the right to work in Germany.