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# Solutions Engineer

- **Company:** True Talent Solutions Partners
- **Location:** München, Germany
- **Experience:** Experienced
- **Salary:** €120,000 - €150,000
- **Contract:** Permanent contract
- **Skills:** Machine Learning, Scripting, Information Technology, Data Management
- **Published:** November 12, 2026
- **Apply:** https://www.adzuna.de/details/5961932417

## About the Role

* Four to seven years of relevant experience, including at least four years in digitalization, change management, or R&D leadership.
 * An MS or PhD in chemistry, chemical engineering, materials science, or a related field, ideally with a computational or machine learning focus.
 * Strong chemistry or materials science expertise and familiarity with enterprise R&D workflows and laboratory informatics systems.
 * Experience building and demonstrating technical platforms for enterprise customers, with a value-based selling approach.
 * Background in digitalization or change management, preferably in industrial R&D; technical consulting experience is also relevant.
 * Python scripting skills and willingness to travel regularly.
 * Fluent English and advanced proficiency in the relevant local language for European-based candidates.
 * Authorization to work in the United States, United Kingdom, or Germany. Visa sponsorship is not available.

## Description

Join the pre-sales team at a Series A industrial R&D software company, serving as a technical partner to prospective customers. You will connect deep chemistry and materials science expertise with value-based selling to help R&D organizations modernize data management and accelerate product development.
What You'll Do

 * Own the technical pre-sales process from initial demonstrations through value cases, technical evaluations, and pilot execution.
 * Build tailored demonstrations, workshops, and pilots around prospective customers' R&D workflows.
 * Partner with account executives and customer champions to communicate business value and support new business growth.
 * Lead technical evaluations and present how modern R&D data platforms can improve data management and innovation.
 * Mentor early-career team members supporting technical evaluations.
 * Write Python scripts and configure integrations as needed for customer engagements.
 * Travel 25% to 50% for prospect meetings, presentations, and workshops.