Forward Deployed Engineer
Clera · Not provided by source
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Job details
- Work model
- Not provided by source
- Salary
- Not listed by source
- Location
- Munich
Job description
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. Find more English Speaking Jobs in Germany on Arbeitnow