QA Manager | Poland

✔ Do you enjoy working closely with developers, architects and product teams to embed quality throughout the development lifecycle rather than treating testing as a final phase?

If you're motivated by combining technical leadership, AI-driven innovation, Quality Engineering excellence and delivery ownership within an international Digital Team, we'd love to meet you.

🎯 What We Expect From You

Essential

• Extensive experience in Test Automation, Quality Engineering or Software Development in Test (SDET)
• Strong expertise in JavaScript and TypeScript
• Hands-on experience with Playwright and modern UI automation frameworks
• Experience designing, developing and maintaining scalable automation frameworks
• Strong understanding of API testing and modern web application architectures
• Practical experience with Python for automation, tooling, AI integration and test data generation
• Experience with Docker and containerized environments
• Strong understanding of CI/CD pipelines and DevOps practices
• Experience driving quality strategy across all testing layers
• Excellent stakeholder management and communication skills
• Ability to take end-to-end ownership of timelines, quality objectives and delivery outcomes
• Experience working closely with product, engineering and architecture teams
• Strong analytical and problem-solving skills
• Ability to balance technical excellence with business priorities
• Experience mentoring and guiding engineers and quality teams in technical best practices
• Strong understanding of Agile delivery methodologies
• Very good English communication skills
• EU residency

AI & Quality Engineering

• Experience working in AI-enabled software delivery environments
• Understanding of AI-assisted software development and testing practices
• Ability to direct and leverage testing agents and AI-powered engineering tools
• Experience generating and validating AI-generated test assets and outputs
• Ability to assess quality risks associated with AI-driven development
• Passion for exploring and implementing emerging AI-driven Quality Engineering practices
• Strong critical thinking and independent quality judgement when evaluating AI-generated solutions

Nice to Have

• Experience with cloud platforms (AWS, Azure or GCP)
• Experience with Kubernetes
• Experience with performance and load testing
• Experience with security testing
• Experience with semantic testing approaches
• Experience with mutation testing
• Experience with property-based testing
• Experience with AI agents and agent-based workflows
• ISTQB certification
• German language skills

Your future role

As a QA Manager , you will act as a technical quality leader within an AI-first delivery environment, combining hands-on Quality Engineering expertise with delivery ownership and stakeholder management.

Technical & Quality Leadership

• Define and drive Quality Engineering strategy across the project
• Design and evolve scalable test automation frameworks using Playwright and TypeScript
• Establish testing standards, automation architecture and quality best practices
• Ensure effective integration of automated testing into CI/CD pipelines
• Promote engineering excellence, maintainability and reusable automation solutions
• Support technical decision-making across testing and quality domains
• Drive adoption of modern Quality Engineering practices across the team

AI-First Quality Engineering

• Build and shape an AI-first QA capability skilled in directing testing agents, generating test data and validating AI-generated outputs
• Drive adoption of AI-powered approaches across software development and testing activities
• Lead QA innovation initiatives, including evaluation and validation of approaches such as semantic snapshots, agentic property-based testing and AI-driven mutation testing
• Identify opportunities to leverage AI to improve delivery quality, efficiency and engineering productivity
• Ensure teams maintain independent quality judgement and effectively challenge AI-generated tests and recommendations

Delivery Ownership & Stakeholder Management

• Take end-to-end ownership of project timelines from a quality perspective
• Support planning, execution, risk management and quality governance activities
• Communicate delivery progress, risks, dependencies and quality outcomes to senior stakeholders and C-level audiences
• Drive quality-related decision making throughout the software delivery lifecycle
• Ensure release readiness and alignment between quality objectives and business goals

Embedding Quality Across Delivery

• Embed Quality Engineering practices throughout the entire software development lifecycle
• Partner with developers and product teams to define executable acceptance criteria before implementation starts
• Promote Shift-Left Testing and Test-Driven Development practices
• Coach teams to uncover missing scenarios, challenge assumptions and assess business risks
• Strengthen a culture of quality ownership across engineering and product teams
• Continuously improve testing approaches, automation capabilities and quality processes

What we offer

🌟 Why Join Us

🚀 AI-First Project : Work on a project where AI is embedded throughout the entire software delivery lifecycle, not just within testing.

💡 Innovation & Impact : Help shape the future of Quality Engineering through AI-enabled delivery and modern testing practices.

🛠️ Modern Technology Stack : Playwright, TypeScript, Python, Docker, AI-powered engineering tools and cloud-native development practices.

🌍 International Environment : Collaborate with global teams, architects, engineering leaders and business stakeholders.

📈 Strategic Role : Influence technical direction, delivery outcomes and product quality at scale.

📚 Continuous Learning : Work with emerging AI technologies and next-generation engineering approaches in a rapidly evolving environment.

Selection process

• HR Interview (15 minutes).
• Technical interview (approx. 45 minutes)
• Professional interview with Team Leaders (approx. 45 minutes)
• Technical task (approach and execution of automation tests)
• Final interview with Project Leadership about task results (approx. 45 minutes)