Datacor is the leading provider of software solutions for the process manufacturing space. They are seeking a dynamic Lead Application Support Engineer to interface with users, resolve technical issues, and support product development with customer insights.
Responsibilities:
- Provide excellent, proactive customer service to GoldSim customers
- Advise the development team with QA testing during product release
- Apply deep industry and product expertise to author product documentation (methods, features, procedures, workarounds) in the form of help topics, user manuals, knowledge base articles, FAQ pages, and example simulations
- Update and maintain training materials and lead training seminars both in person and virtually
- Serve as subject matter expert to support marketing efforts through representation as a technical resource at conferences & trade shows, authoring blog posts, and developing materials for the GoldSim/Datacor website
- Support the Pre-Sales team by demonstrating our software to prospective customers with specific customer or industry examples
- Utilize customer feedback and industry expertise to partner with development & product teams to set strategy for product and advise on development imperatives
Requirements:
- Master's degree in Engineering or related science field
- 5+ years' experience using GoldSim software as a user
- Advanced knowledge of Monte Carlo methods and basic statistical analysis
- Domain knowledge in one of our core industries, including mining, water resources, environmental/radioactive waste management
- Analytical approach to troubleshooting and problem solving
- Ability to proactively identify problems and propose solutions
- Ability to work independently and within a team
- Fast learner of technical software and an interest in understanding engineering fundamentals behind the software (what calculations are done and how results are produced)
- Exceptional communication and cross-functional collaboration skills and a customer-centric attitude
- 10+ years' experience in water resource or environmental modeling field, either as an Engineer or consultant
- Comfortable with integration and application of AI-based tools to maximize product and individual performance