• Lead the transition from predominantly manual testing toward a balanced Quality Engineering model.
• Build sustainable E2E and regression automation for critical product scenarios.
• Introduce quality gates into CI/CD pipelines.
• Improve test environments, test data, reporting, and automation stability.
• Introduce risk-based testing, shift-left practices, and appropriate AI-assisted QA tools.
• Reduce regression time and release uncertainty without sacrificing product quality.

Product Quality team leadership

• Build and lead the Product Quality team responsible for:
• product acceptance;
• critical regression;
• E2E testing;
• user-experience validation;
• E2E and regression automation.
• Hire, develop, and mentor manual QA, automation, and SDET engineers.
• Assess existing QA engineers and define appropriate development paths based on skills, motivation, and demonstrated results.
• Establish clear ownership, expectations, and measurable outcomes for every team member.

Matrix quality leadership

• Coordinate the quality function across Backend QA, Client QA, and other QA.
• Work with engineering leaders to ensure that component-level testing is completed before Product Quality acceptance.
• Establish common quality standards, metrics, and audit practices across QA teams.
• Conduct regular quality reviews and identify gaps in domain-level testing.
• Ensure that standards reflect the needs of all QA directions rather than one specific platform or domain.
• Act as the technical owner of QA standards or appoint and support an appropriate Quality Engineering Technical Lead.

Data-driven quality management

• Define and monitor meaningful quality indicators, including:
• escaped defects;
• critical regression coverage;
• automation stability and flaky-test rate;
• regression duration;
• release-blocking defects;
• defects at system boundaries;
• production and support trends.
• Use analytics, support cases, incidents, and production signals to identify areas requiring additional coverage.
• Present product-quality risks and improvement progress to engineering and product leadership.

Requirements:

• 5+ years of experience in QA or Quality Engineering.
• 3+ years in a QA leadership or Quality Engineering leadership role.
• Strong product mindset, with the ability to identify user, business, and systemic risks—not just verify compliance with documented requirements.
• Proven experience transforming manual testing into an engineering-driven quality function.
• Experience building or significantly improving E2E and regression automation.
• Strong understanding of test automation architecture, CI/CD integration, test environments, and quality gates.
• Ability to review automation approaches, framework architecture, code quality, and engineering practices.
• Experience testing high-scale mobile applications or games.
• Strong knowledge of:
• mobile application testing;
• backend and API testing;
• distributed and cross-system scenarios;
• analytics validation, including Firebase;
• databases and SQL-based platforms;
• advertising and attribution systems such as Adjust or AppsFlyer;
• release and production quality management.
• Experience working with Android Studio, Xcode, Charles Proxy or similar tools, API clients, and mobile automation frameworks.
• Strong leadership skills and the ability to influence teams in a matrix structure.
• Ability to make difficult quality decisions and clearly explain product risks.
• Russian — fluent.
• English — Intermediate or higher.

Nice to Have:

• Experience with ad-driven mobile products.
• Experience testing monetization, consent, GDPR/CCPA, payments, or analytics.
• Experience building SDET or automation teams.
• Experience applying AI tools to testing, test design, defect analysis, or QA operations.
• Experience working with incident, support, and production data.

What Success Looks Like:

During the first months, the Head of Quality Engineering is expected to:

• establish the Product Quality function and its responsibilities;
• define the interaction between Backend QA, Client QA and Product Quality;
• introduce transparent product-acceptance criteria;
• identify critical E2E and regression scenarios;
• create a prioritized automation roadmap;
• launch measurable improvements to automation, CI quality gates, and regression speed;
• provide leadership with a transparent view of product readiness and quality risks.

What We Offer:

• Competitive salary and benefits package.
• Opportunity to work with a talented and passionate team in a creative and dynamic environment.
• Flexible working hours and remote/office work options.
• Career growth and professional development opportunities.
• A fun and inclusive company culture that celebrates diversity and creativity.

Join us and let’s create great content together!