Job Opportunities API

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.