Product Experimentation Specialist
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Overview
Join Kaizen Gaming as a Product Experimentation Specialist to lead A/B testing strategies and enhance product development through data-driven insights in the Gaming & Rewards vertical. We are Kaizen Gaming, the team powering Betano, one of the biggest GameTech companies in the world, operating in 20 markets. We always aim to leverage cutting-edge technology, providing the best experience to our millions of customers who trust us for their entertainment. We are a diverse team of more than 2.700 Kaizeners, from 40+ nationalities spreading across 3 continents. Our #oneteam is proud to be among the Best Workplaces in Europe and certified Great Place to Work across our offices.
What You'll Do
- •Own the end-to-end design, execution, and analysis of A/B tests and other experiment types evaluating new features, optimizations, and UX improvements.
- •Shape the experimentation roadmap, prioritizing tests by business impact and user need.
- •Build and evolve the internal experimentation framework — best practices, standards, and processes that keep testing rigorous and consistent across teams while improving efficiency with the use of AI Tool stack that Kaizen Gaming offers.
- •Partner with product managers, designers, product analysts, and engineers to ensure every experiment launches with a clear hypothesis, sound design, and accurate tracking, in collaboration with Product Analysts.
- •Champion a test-and-learn culture across Gaming & Rewards, turning both wins and failed tests into organizational learning.
- •Translate experiment results into clear, actionable recommendations for product, design, and senior leadership.
- •Compile concise reports covering performance and key findings.
- •Turn complex data into narratives non-technical stakeholders can act on.
What You'll Bring
- •3+ years in product analytics or product management with a strong focus on experimentation / A/B testing, ideally in consumer internet or a high-growth environment.
- •Deep expertise in experiment design, execution, and analysis, with solid grounding in statistical rigor.
- •A track record of turning experimentation into product strategy, balancing data with business judgment.
- •Comfort working closely with product, design, product analysts and engineering throughout the product development cycle.
- •Strong storytelling and presentation skills — you can make results land with both technical and non-technical audiences.
- •Hands-on experience with Databricks (or similar) for reporting and experiment monitoring.
- •Familiarity with experimentation platforms (Kameleoon, Optimizely, or similar) and product analytics tools (FullStory, Looker, or similar).
- •Demonstrated AI-first mindset, actively leveraging AI tools and assistants to improve productivity, problem-solving and decision-making.