Solutions Engineer

About the Role Join a scientific software team as the technical partner to its sales organization. You will help research and development teams evaluate digital tools for managing and analyzing R&D data, shaping tailored demonstrations and pilots that show how technology can support innovation.

What You'll Do

Own technical pre-sales engagements from initial demonstrations through value cases, evaluation planning, and pilot execution. Build customized demonstrations, workshops, and pilots aligned with prospective customers' R&D workflows.

Partner with sales colleagues and customer stakeholders to communicate value and support new business. Lead technical evaluations and presentations that explain how digital R&D data management can improve research workflows. Mentor early-career team members supporting technical evaluations.

Write scripts and configure integrations as needed for prospect engagements. Travel 25% to 50% for customer meetings, presentations, and workshops. What We're Looking For Four to seven years of experience, including at least four years in digitalization, change management, or R&D leadership.

An advanced degree in chemistry, chemical engineering, materials science, or a related field, with a focus on machine learning or computational methods. Strong chemistry or materials science expertise and understanding of enterprise R&D workflows and laboratory informatics.

Experience building and demonstrating technical platforms for enterprise customers, ideally alongside R&D digitalization or organizational change initiatives. A value-focused pre-sales approach, strong communication skills, and the ability to take ownership in a fast-paced environment.

Python scripting ability is helpful. Experience in technical consulting or software engineering is also useful. Fluent English; for European locations, advanced proficiency in the local language is expected. Willingness to travel 25% to 50% and authorization to work in the United States, United Kingdom, or G