Customer Success & Solutions Engineer
We’re looking for a talented and versatile Customer Success & Solutions Engineer to join our growing team. This is a hybrid role combining technical problem-solving with relationship management. You’ll work directly with customers to onboard and configure the platform, support their ongoing success, and help them realize tangible value from day one. You will be part of our Customer Success & Solutions team, working closely with the Sales, Product, and Data Science Teams to guide technical implementation and ensure long-term customer impact.
MaterialsZone is a pioneering AI-Driven Materials Informatics company accelerating R&D in the Advanced Materials, Chemicals, and FMCG industries. Our platform empowers R&D teams by unifying data management, collaboration, visualization, and AI-powered insights — including a Predictive Co-Pilot that guides experimentation, reduces trial-and-error, and supports guided R&D. With MaterialsZone, organizations unlock faster innovation cycles, more informed decisions, and better-performing products.
Responsibilities
- Understand Materials-related product development
- Analyze, manipulate, and design data schemes for Materials Science data sets
- Lead technological aspects of the sales cycle: discovery calls, platform demo, and pilots
- Communicate with potential and existing customers
- Work closely with internal stakeholders
- Product and domain use cases content writing
- Coordinate projects, draft and submit grants and research proposals
Requirements
- M.Sc. / Eng. in Materials Science/Chemistry
- Fluent in English (oral & written) is a must
- 3+ years of work experience in R&D related to materials development
- Strong understanding of the Materials industry and work processes
- Proficient in Excel
- Fast learner
- A “can-do” attitude
- High attention to detail, strong organizational skills, and a methodical approach
- Excellent communication and interpersonal skills
Advantages
- Ph.D. in Materials Science/Chemistry or related field
- Understanding of the basic concepts in AI / ML / statistical tools
- Knowledge of SQL
- Programming and/or Data Science experience
- CRM systems work experience
