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Join the technical pre-sales team at a Series A industrial R&D software company. You will help enterprise science and engineering organizations understand how modern data tools can improve research workflows and accelerate product development.
Lead the technical pre-sales process, from demonstrations and business value cases to technical evaluations and pilot execution.
Build tailored demonstrations, workshops, and pilots around each prospect's R&D workflows.
Partner with account executives and customer champions to support value-based selling and new business.
Present technical evaluations and explain how digital R&D data management can support innovation.
Mentor newer team members supporting technical evaluations.
Write Python scripts and configure platform integrations for prospect engagements as needed.
Travel 25% to 50% for prospect meetings, presentations, and workshops.
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, ideally with a machine learning or computational focus.
Experience building and demonstrating technical platforms for enterprise customers, with strong chemistry or materials science expertise.
Background in R&D leadership at a large chemical or materials organization; consulting experience with a science background is also relevant.
Familiarity with enterprise R&D workflows, laboratory informatics systems, and Python scripting.
Fluent English and C1 or higher proficiency in the relevant local European language.
Willingness and ability to travel, and existing authorization to work in the United States, United Kingdom, or Germany.
Salary range: $120,000 to $150,000 USD annually. Visa sponsorship is not available.
Remote, with Munich, Germany as the primary location.