Forward Deployed Engineer

Clera; München; Vor Ort; EUR 80.000 - 130.000; Vollzeit

Zusammenfassung

Clera in Munich is seeking a high-ownership, customer-facing engineer to own the full technical lifecycle from sales handoff through live deployment, interfacing with product and real customer environments. Your work directly shapes how AI lands in complex enterprise settings.

You will configure AI models, integrate ERP systems, and engage with stakeholders to translate pain points into engineering decisions, while working on-site in Munich.

Qualifikationen

• Native or C2-level German fluency required.
• Proven customer-facing engineering experience.
• Strong full-stack skills in Python, React, TypeScript, and SQL.
• Experience integrating ERP platforms and REST/GraphQL APIs.
• Hands-on experience with LLMs and prompt engineering.
• Ability to clean and structure messy real-world data.

Aufgaben

• Own end-to-end technical implementation from sales handoff to go-live.
• Configure and fine-tune AI models for customer use cases.
• Structure customer data and build integrations with ERP and APIs.
• Develop prototypes and evolve them into scalable solutions.
• Engage daily with users and business stakeholders to inform engineering decisions.
• Represent customer needs to the core engineering team.

Kenntnisse

German fluency

Customer-facing engineering

Python/React/TypeScript

ERP/API integrations

LLMs / prompt engineering

Data wrangling

Strong communication

Ownership mindset

Jobbeschreibung

About The Role

This is a high-ownership, customer-facing engineering role at a Y Combinator-backed AI startup automating inside sales workflows for distributors and manufacturers. You will own the full technical lifecycle from sales handoff through live deployment, sitting at the intersection of engineering, product, and real customer environments. Your work directly shapes how AI lands in complex enterprise settings.

What You’ll Do

• Own end-to-end technical implementation of the product, from sales handoff to 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 such as SAP and various REST or GraphQL APIs.
• Develop prototypes to demonstrate new features or solve emerging customer problems, then evolve them into scalable solutions.
• Engage daily with both end users and senior business stakeholders to translate real pain points into engineering decisions.
• Surface product gaps and patterns back to the core engineering team, acting as the voice of the customer internally.

What We’re Looking For

• Native or C2-level German fluency, required.
• Proven forward deployed or customer-facing engineering experience, not general engineering alone.
• Strong full-stack skills across Python, React, TypeScript, SQL, and data pipelines.
• Hands-on experience integrating enterprise systems such as ERP platforms, REST or GraphQL APIs, and webhooks.
• Practical experience with LLMs, AI agents, and prompt engineering in real production or customer contexts.
• Ability to wrangle messy, inconsistent real-world data and establish reliable structures quickly.
• Excellent communication skills across both technical and non-technical audiences.
• High agency and ownership mindset, comfortable with ambiguity, legacy systems, and imperfect information.
• Willingness to work on-site in Munich in a fast-paced, high-intensity environment.

Compensation & Benefits

Salary range: 80,000 to 130,000 EUR annually

Visa sponsorship is not available for this role.

Location

On-site in Munich, Bavaria, Germany. Remote work is not available for this position.