Platform Quality Engineer

Job description

AI Digital is reshaping the future of programmatic media through Elevate, our proprietary AI-powered platform that helps agencies make smarter decisions across marketing research, media planning, and campaign optimization. We’re looking for a Platform Quality Engineer (Technical Support & QA Specialist) to join our Product Operations team. This newly created role offers the opportunity to help shape quality standards for Elevate, collaborate closely with Product and Engineering, and make a visible impact on a growing platform used by more than 100 media agencies. Responsibilities: Technical Support and Investigation Own second-line technical support for Elevate, taking escalations from the first-line support team and driving them through to resolution. Work with support team, internal users, client-facing teams, and, when necessary, users directly to clarify requests, gather relevant context, and reproduce reported issues. Investigate unexpected platform behavior, browser-specific problems, dashboard preparation errors, data discrepancies, and integration failures across the web application, data sources, reporting tools, and connected services. Use browser developer tools and available technical information to identify potential causes, including front-end behavior, console errors, and failed network requests. Document investigation findings through clear, actionable technical requirements and bug reports that include reproduction steps and expected versus actual behavior. Coordinate with Product, Engineering, BI, Data, AdOps, and other relevant teams to ensure that identified issues are resolved. Release QA and Web Testing Perform manual functional and regression testing for every Elevate release across development and production environments and supported web browsers. Verify that new features and updates work as expected from an end-user perspective and do not affect existing platform functionality, including scenarios that may not be covered by automated code-level testing. Develop and continuously improve test cases, regression checklists, and known-issue documentation to make each release more efficient and consistent. Reporting Quality and Product Rollouts Review client-facing dashboards and reporting outputs, identify data, functional, and UI/UX inconsistencies, and help determine whether the source is the data, integration, platform, or dashboard configuration. Provide technical support to operational teams during migrations, implementations, and new product rollouts, including resolving technical issues and confirming that users have the necessary access and documentation. 2+ years of experience in manual QA, technical support, product support, or a related hybrid role within a web-based SaaS or software product environment. Hands-on experience testing complex web applications, including functional and regression testing. Experience reproducing and investigating browser-specific issues using browser developer tools, console information, network requests, or similar technical resources. Experience investigating user-reported technical issues and communicating with users or stakeholders to gather the information needed to understand and reproduce a problem. Experience working with complex software products involving API integrations, multiple data sources, or multi-module web applications. Strong troubleshooting and root-cause analysis skills, with the ability to follow an issue across several systems rather than focusing only on one product component. Ability to write clear and actionable bug reports with reproduction steps, expected behavior, and actual behavior so that developers can investigate without extensive follow-up. Experience working in an independent SaaS or product company where you were expected to take ownership of issues end-to-end rather than simply pass tickets to another team. Professional working proficiency in English, both written and verbal. Nice to have: Hands-on experience with BI and reporting tools such as Tableau or Power BI, including validating dashboards, identifying discrepancies, and tracing where data diverges. Basic SQL and comfort working with data tables: able to read a query and reconcile numbers against a source. Familiarity with AI-powered features, LLM-based systems, or agentic workflows, including an understanding of how to test outputs that may not be fully deterministic. Understanding of AdTech or MarTech products, particularly DSPs, campaign data, media buying, and performance reporting. What we offer: USD compensation that values your expertise‍. Work from anywhere: Fully remote to suit your lifestyle‍. 31 days of paid time off: 21 days of annual leave + 10 days of sick leave, because your health and work-life balance matter‍. Growth-focused environment: Access to learning resources and clear pathways for growth‍. Fun team events: Virtual cooking classes, yoga sessions, team quizzes and more. ‍A culture of trust: We cut the red tape - results over rules always. Open talk, ownership and getting things done together. Location: EMEA (selected countries only).