As a QA Engineer / Product Operations Engineer, you will play a key role in ensuring the quality, reliability, and usability of an innovative digital marketplace powered by artificial intelligence and additive manufacturing technologies. You will combine software testing, product analytics, operational monitoring, and light engineering to improve platform performance and customer experience. Working across customer and supplier applications, you will validate critical workflows, investigate technical issues, and identify opportunities to optimize product functionality. You will also analyze user behavior, build dashboards, and transform product data into actionable insights that support informed decisions. The role offers the opportunity to explore the intersection of software engineering, AI-driven manufacturing, and 3D printing while collaborating closely with technical and product teams. If you enjoy solving problems, working across disciplines, and taking ownership in a fast-paced startup environment, this remote opportunity offers a chance to make a tangible impact on a growing technology platform.
Product Quality Assurance and Testing
Test customer-facing and supplier-facing web applications across essential workflows, including registration, authentication, part uploads, file processing, printability analysis, supplier matching, requests for quotation (RFQs), quote submissions, and order management.
Create, maintain, and execute QA checklists, test cases, regression test plans, and validation procedures.
Test applications across different browsers, devices, file formats, and edge cases to identify potential usability and functionality issues.
Identify, reproduce, document, and prioritize software defects, clearly outlining expected versus actual behavior.
Verify bug fixes before release and help maintain product quality as new features are introduced.
Application Monitoring and Reliability
Monitor production applications to ensure critical workflows remain operational and perform as expected.
Identify failed file uploads, broken pages, API errors, background job failures, and unusual user activity.
Investigate incidents, document findings, escalate critical issues, and collaborate with engineers on root-cause analysis.
Help maintain platform availability and customer confidence by identifying issues before they significantly affect users.
Develop or maintain internal dashboards, alerts, and monitoring tools to track product health and system reliability.
3D Printability Review and Manufacturing Support
Review customer-uploaded CAD files, technical drawings, PDFs, and part metadata to assess their suitability for additive manufacturing.
Evaluate potential printability risks related to geometry, material selection, dimensions, tolerances, wall thickness, unsupported features, overhangs, small holes, warping, and file quality.
Collaborate with engineering teams and manufacturing specialists to improve printability scoring systems and analysis workflows.
Develop internal review checklists and part-classification processes to support consistent and reliable assessments.
Compare automated printability analysis results with human evaluations, identify discrepancies, and recommend improvements to the underlying workflows.
Customer Behavior and Product Insights
Analyze platform usage patterns to understand how customers interact with the product and complete key workflows.
Identify onboarding challenges, abandoned processes, unsuccessful uploads, and points where users fail to complete RFQs or other important actions.
Review customer feedback, support tickets, uploaded part data, and usage trends to uncover recurring issues and improvement opportunities.
Translate observations into actionable bug reports, product recommendations, and clear technical requirements.
Help product and engineering teams understand customer needs and distinguish actual user behavior from expected application behavior.
Analytics and Reporting
Build and maintain dashboards that track product usage, customer activity, part uploads, RFQs, supplier responses, conversion funnels, and system errors.
Monitor key performance indicators, including user registrations, active users, upload success and failure rates, file types, printability analysis completion, RFQs submitted, supplier response rates, and customer drop-off points.
Use analytics and reporting tools such as Google Analytics, PostHog, Mixpanel, Metabase, Looker Studio, Supabase, SQL, or comparable platforms.
Prepare regular product quality and usage reports that help teams monitor performance and prioritize improvements.
Translate data into clear, actionable insights that support product decisions and operational efficiency.
Bug Fixing and Light Engineering
Investigate defects across frontend applications, backend services, APIs, databases, and third-party integrations.
Implement small code fixes independently where appropriate and collaborate with engineers to resolve more complex issues.
Improve error handling, application logging, input validation, and user-facing error messages.
Review code changes from a quality assurance, usability, and product reliability perspective.
Contribute to internal tools, scripts, dashboards, and test automation to improve operational efficiency.
Collaborate through version control, code reviews, pull requests, and deployment workflows.