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.
Benefits
EOE Statement: Datacor is an Equal Opportunity Employer and does not discriminate on the basis or race, color, religion, sex, national origin, age, disability, veteran status, or any other protected characteristic.
Use of AI During Interviews: At Datacor, we value thoughtful problem-solving and authentic perspectives. To ensure a fair and consistent evaluation process, we ask that candidates do not use generative AI tools or outside assistance during live interviews unless explicitly stated otherwise.