Forward Deployed Engineer

United States Digital Space LLC; München; Vor Ort; EUR 90.000 - 200.000; Vollzeit

Zusammenfassung

United States Digital Space LLC in Munich is seeking a Forward Deployed Engineer to bridge our AI platform with enterprise deployments, owning the full lifecycle from handoff to go-live.

You will work directly with customers, tailor AI models, and integrate ERP/CRM systems like SAP/Oracle, translating real-world data into scalable solutions while collaborating with product and engineering teams.

Qualifikationen

• Native fluency in German is required and non-negotiable.
• Experience delivering customer-facing software deployments and gathering client requirements.
• Hands-on experience with system integrations including ERP systems and REST/GraphQL APIs.

Aufgaben

• Own end-to-end technical implementation of customer deployments from handoff to go-live.
• Configure and fine-tune AI models for customer-specific use cases, including prompt engineering.
• Structure customer data and build system integrations with ERP and API platforms such as SAP and Oracle.
• Translate unstructured RFQs into automated quoting workflows.
• Develop prototypes and evolve them into scalable solutions addressing customer problems.
• Engage daily with technical users and senior stakeholders to translate pain points into engineering decisions.
• Represent the voice of the customer to the core engineering team.

Kenntnisse

Full-stack engineering

Python

React

TypeScript

SQL

APIs

German native

Customer-facing deployments

Problem-solving

Tools

ERP integrations

REST/GraphQL APIs

Webhooks

Jobbeschreibung

About the RoleWe are 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

• 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.