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.
Responsibilities
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.
Requirements
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.
Conditions
Base salary: $120,000 to $150,000 USD annually. Visa sponsorship is not available.
Hybrid, based in Munich, Bavaria, Germany. New York or London may also be considered.