Description
We’re the world’s leading sports technology company, at the intersection between sports, media, and betting. More than 1,700 sports federations, media outlets, betting operators, and consumer platforms across 120 countries rely on our know-how and technology to boost their business.
The Live Data Services team is the heart of our live data ecosystem, gathering, validating, processing, and delivering live sports data for more than 30 sports to customers worldwide. You will be a key contributor to the platform that powers one of the industry's largest sports data ecosystems.
As a Product-Minded QA Engineer, you will work side-by-side with Product Managers to refine requirements before development starts ("Shift Left"). You will use modern tools (AI, Copilot, and LLMs) to improve team efficiency, build smart quality solutions, and ensure our platform delivers accurate, reliable, and high-quality sports data.
Key Responsibilities:
- Collaborate with Product Managers and Engineers to turn business ideas into clear, testable user stories.
- Get involved in the design phase to challenge assumptions, identify gaps, and help prevent issues before development begins.
- Act as a quality champion within the team, helping stakeholders understand risks from both technical and business perspectives.
- Use modern tools, including AI and LLMs, to improve efficiency, generate test assets, analyze data, and automate repetitive activities where it creates value.
- Perform exploratory and structured testing across APIs, integrations, internal tools, workflows, and business processes to identify issues and validate expected behavior.
- Ensure sports, betting, and customer-facing business rules behave correctly across different sports, competitions, and products.
- Act as the gatekeeper for quality, validating that new features meet both technical expectations and customer needs before release.
Our Toolkit:
- Strong experience with API testing, structured data validation, and SQL.
- Comfortable reading existing code and creating simple scripts or utilities using Java, Python, and modern AI-powered development tools.
- Experience using AI tools (LLMs, Copilot, AI assistants) to improve testing, analysis, and productivity.
- Ability to analyze complex workflows, integrations, and data flows to identify root causes and quality issues.
About You:
- 3+ Years Experience in driving quality practices within complex product teams.
- Product mindset with a focus on user experience, business logic, and customer impact.
- Strong interest in sports and willingness to develop expertise across a broad portfolio of sports.
- Betting domain awareness is a strong advantage.
- Proactive with excellent communication skills.
Our Offer:
- Opportunity to work and develop within an inspiring and fast-growing company.
- Flat organization with high degree of individual responsibility.
- Collaborative environment with colleagues from all over the world.
- Very good social and physical working environment.
- Company culture that promotes social aspects, sports, physical exercise, and fun.
- Competitive salary and benefits.