Product Specialist - Software Support & Operations

About the role

MSX International, a partner to vehicle manufacturers, retailers and mobility organizations for more than 30 years, is hiring a Product Specialist in Troy. The role supports the quality, operation and continuous improvement of software products and client applications, working closely with the Product Owner, Development and QA. It suits an early-career professional interested in product operations, quality assurance, business analysis and product management.

Key responsibilities

• Support Product Owner backlog management: prepare work items with business context, acceptance criteria, dependencies and documentation, and track decisions and action items from Agile platform discussions and product meetings.
• Perform manual testing of enhancements, defect fixes and configuration changes, create and maintain test plans, test cases and test scenarios, and document defects, risks and testing outcomes.
• Investigate reported product issues, distinguish user questions, configuration and data issues from software defects, and turn validated support issues into documented work items.
• Participate in regression testing and release validation, and identify recurring trends and improvement opportunities.
• Partner with Product, Development and QA, contributing operational insights to support process improvement, release readiness and documentation.

Required profile

• Bachelor's degree in Computer Science, MIS/CIS or Business Analytics.
• 1-3 years in software support, preferably with 1-3 years of automotive experience with OEMs or large dealer groups.
• Experience in QA, testing, product operations, business analysis or a similar role.
• Ability to learn new business domains quickly, strong analytical thinking and problem-solving, and excellent written and verbal communication.

Required skills

• Familiarity with Jira/Azure DevOps, Agile practices, issue documentation and Microsoft Office/Google Workspace.
• SaaS experience, test case development, defect investigation, user stories, acceptance criteria, regression testing and basic SQL/data analysis.