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
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Own second-line technical support for Elevate, taking escalations from the first-line support team and driving them through to resolution.
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Work with support team, internal users, client-facing teams, and, when necessary, users directly to clarify requests, gather relevant context, and reproduce reported issues.
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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.
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Use browser developer tools and available technical information to identify potential causes, including front-end behavior, console errors, and failed network requests.
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Document investigation findings through clear, actionable technical requirements and bug reports that include reproduction steps and expected versus actual behavior.
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Coordinate with Product, Engineering, BI, Data, AdOps, and other relevant teams to ensure that identified issues are resolved.
Release QA and Web Testing
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Perform manual functional and regression testing for every Elevate release across development and production environments and supported web browsers.
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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.
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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
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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.
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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.
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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.
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Hands-on experience testing complex web applications, including functional and regression testing.
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Experience reproducing and investigating browser-specific issues using browser developer tools, console information, network requests, or similar technical resources.
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Experience investigating user-reported technical issues and communicating with users or stakeholders to gather the information needed to understand and reproduce a problem.
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Experience working with complex software products involving API integrations, multiple data sources, or multi-module web applications.
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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.
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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.
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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.
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Professional working proficiency in English, both written and verbal.
Nice to have:
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Hands-on experience with BI and reporting tools such as Tableau or Power BI, including validating dashboards, identifying discrepancies, and tracing where data diverges.
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Basic SQL and comfort working with data tables: able to read a query and reconcile numbers against a source.
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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.
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Understanding of AdTech or MarTech products, particularly DSPs, campaign data, media buying, and performance reporting.
What we offer:
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USD compensation that values your expertise.
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Work from anywhere: Fully remote to suit your lifestyle.
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31 days of paid time off: 21 days of annual leave + 10 days of sick leave, because your health and work-life balance matter.
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Growth-focused environment: Access to learning resources and clear pathways for growth.
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Fun team events: Virtual cooking classes, yoga sessions, team quizzes and more.
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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).
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