Platform Quality Engineer

AI Digital is reshaping the future of programmatic media through Elevate, our proprietary AI-powered platform designed to enable smarter marketing research, media planning and ad campaign optimization. We’re looking for a Platform Quality Engineer (Technical Support & QA Specialist) to join our team and act as a key link between Support, Product and Engineering. This is a hybrid role combining hands-on QA within our release cycle with second-line technical support and in-depth investigation of platform and reporting issues. You’ll help identify and resolve issues before they reach our clients, while also taking ownership of complex technical queries and ensuring effective collaboration across teams. Responsibilities: Ensure that new features and updates do not introduce regressions or impact existing platform functionality, enabling smooth and reliable releases. Execute comprehensive QA and regression testing for every release of Elevate across both development and production environments. Identify, document and communicate issues through clear, precise, and reproducible bug reports, including expected versus actual platform behavior. Develop and continuously improve test cases, regression checklists, and known-issue documentation to make each release more efficient and consistent. Own second-line technical support for Elevate across both external and internal users. Manage technical escalations from the first-line Support team, translate incoming requests into clear and actionable requirements, and drive issues through to resolution. Investigate complex technical issues end-to-end, including dashboard preparation problems, unexpected platform behavior, data discrepancies, integration failures, and other issues affecting platform functionality or reporting. Provide technical support to operational teams during migrations, implementations, and rollouts of new solutions, ensuring a smooth transition and timely resolution of technical challenges. Review client-facing dashboards and reporting outputs, identify data discrepancies and UI/UX inconsistencies, determine the most effective path to resolution, and coordinate with relevant teams to ensure issues are addressed. 2+ years of experience in manual QA and/or technical support within a SaaS or software product environment. Experience working in an independent SaaS or product company, where you are expected to take ownership of issues end-to-end. Hands-on experience testing complex software products, including API integrations, multiple data sources, and multi-module web applications. Strong troubleshooting and communication skills, with the ability to write clear, concise, and actionable bug reports and expected-behavior descriptions that enable developers to investigate and resolve issues without extensive follow-up. 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, with the ability to validate dashboards, identify discrepancies, and trace data issues back to their source. Understanding of AdTech and/or MarTech products, particularly DSPs, campaign data, media buying, and performance reporting. Familiarity with AI-powered and LLM-based features or agentic workflows, including an understanding of how to test and evaluate outputs in systems where results may not be fully deterministic. Russian language proficiency. 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.