🎯 Role Overview:
We're an iGaming product company building and operating white-label casino and betting platforms — web products, payment systems, and game integrations across dozens of brands;
Our QA function currently consists of 20+ manual QA engineers and a small automation team distributed across 7 product teams:
Platform Core;
Payments;
Brand Setup;
Operations;
Games.
We're looking for a Head of QA to transform our quality assurance function from a reactive, manual-heavy process into a proactive, metrics-driven, automation-first practice;
This is a change-agent role, not a caretaker role. You'll own the QA strategy, rebuild processes, introduce and manage quality metrics, and drive the reduction of manual testing through automation and AI tooling;
You'll report to the CDO and work closely with PMs, development leads, and the Release Manager.
👤 Our Criteria:
7+ years of experience in QA, including 3+ years leading QA teams of 10+ engineers across multiple product teams;
Proven track record of transforming QA processes — you've moved at least one organization from reactive "firefighting" testing to proactive quality engineering through shift-left practices, risk-based testing, and quality gates in the delivery pipeline;
Hands-on experience designing, implementing, and managing quality metrics: escaped defects, reopen rate, test coverage, time-in-QA, release timeliness — and using them to manage the team, not just report results;
Strong experience building and scaling test automation: defining automation strategy, prioritizing automation based on ROI, growing AQA capacity, and integrating automated suites into CI/CD pipelines;
Practical, demonstrable experience using AI tools in QA workflows — including test case generation, autonomous/agent-based testing, AI-assisted test maintenance, and LLM-based log and defect analysis. Not just "interested in" — but actual production usage with measurable results;
Experience with QA estimation and capacity planning (estimates vs. actuals, workload balancing across teams);
Strong understanding of testing web applications, APIs, and integrations; comfortable working with logs, API responses, and DB queries;
Experience managing Jira/Confluence-based workflows, including standardizing workflows and statuses across teams;
Strong people leadership skills: hiring, performance reviews, grading, growth plans, and retention of senior engineers.
⚙️ Your Tasks:
Own and rebuild QA processes across all product teams: unified test strategy, entry/exit criteria, consistent workflows, defect lifecycle management (including acceptance quality measurement where it doesn't exist today), and documentation standards;
Introduce and manage quality metrics: define the metric framework, set targets, build dashboards, review results monthly with team leads and the CDO, and integrate quality metrics into the team KPI framework;
Shift the QA organization from reactive to proactive: involve QA at the requirements and design stages, implement risk-based test planning, and focus on regression prevention instead of regression firefighting;
Drive test automation: define the automation roadmap, grow the AQA function, prioritize automation areas (regression, smoke tests, payment-critical flows), integrate automation into release pipelines, and measurably reduce manual testing quarter over quarter;
Introduce AI tooling into daily QA workflows: select tools, run pilots, train the team, and measure impact on throughput and test coverage;
Manage the QA organization: conduct performance reviews and grading, balance workload across teams, improve time-logging discipline, address overtime issues, and build hiring and growth tracks for QA leads;
Improve product stability: own escaped-defect analysis, drive root-cause investigations with development leads, and reduce reopen rates in the weakest-performing teams;
Continuously optimize QA processes through regular retrospectives and quarterly i
