Your mission
As an AI NLP Solutions Engineer, based in Munich Germany, you will play a key role in supporting both pre-sales and customer adoption of our AI-driven NLP enterprise software for collaborative RFQ evaluation. With a strong focus on back-office execution, you will prepare tailored, data-driven demos and deeply investigate customer-specific use cases to ensure successful onboarding and long-term value realization.
Prepare and configure tailored demos on customer data to support pre-sales activities and showcase platform capabilities
Investigate and resolve customer-specific use cases and edge cases during onboarding and adoption
Collaborate with sales and customer-facing teams to translate RFQ evaluation workflows into effective platform configurations
Support the implementation of collaborative requirements elicitation processes within the platform
Perform initial legacy data ingestion using Python-based ETL workflows where required
Utilize Python-based APIs for data integration and platform setup
Troubleshoot data, document processing, and workflow-related issues
Document solutions, patterns, and best practices to improve scalability and reuse
Your profile
University degree in Computer Science, Data Science, Engineering, or a related field
5+ years of experience in a technical sales, solutions engineering, or similar role within enterprise software
Strong hands-on experience with data preparation, ETL processes, and enterprise datasets
Proficiency in Python, including scripting for data processing and API interactions
Ability to analyze complex customer scenarios and translate them into structured solutions
Detail-oriented, with a strong problem-solving mindset and ability to work independently
Comfortable working in a cross-functional environment with sales, product, and engineering teams
Fluent in English, other European languages are a plus.
What You Bring to the Team
A structured and analytical approach to customer-specific problem solving
The ability to bridge technical implementation and business use cases
A strong focus on enabling successful adoption and tangible customer value
Why us?
We are building an enterprise AI platform that enables teams to analyze, structure, and evaluate requirements from RFQs, tenders, and technical specification documents in the industrial domain (including energy, machinery, EPC, and related industries).
As a Solutions Engineer, you are responsible for making DRIM deliver in real customer environments. You will work directly with customer data and documents, implement and adapt use cases, resolve edge cases, and guide customers in using the platform as part of their daily workflow. Your goal is to ensure that the product delivers consistent, usable results in practice.
You also support the sales process by preparing and delivering tailored demos based on real customer data, demonstrating how the platform can be applied in realistic scenarios.