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.