At a Glance
- Tasks: Lead measurement strategies and experimentation to drive growth and capital allocation decisions.
- Company: Join a global tech group revolutionising sports, gaming, and fan experiences.
- Benefits: Competitive salary, diverse team, and opportunities for personal and professional growth.
- Other info: Dynamic, international environment with a commitment to diversity and inclusion.
- Why this job: Shape the future of play with data-driven decisions that impact millions.
- Qualifications: 4-7+ years in marketing science or analytics with strong causal inference skills.
The predicted salary is between 60000 - 80000 € per year.
We are on a mission to pioneer the world’s next era of play. As we grow across Europe and Latin America, we’re building The Playstack - the technology powering the next generation of sports, gaming, and fan experiences. Join us, and help make it the most widely used platform in the world!
We are looking for a Measurement & Experimentation Manager to own the causal understanding of growth and capital allocation across our global business. This is not a reporting role; it is a decision‑making role at the core of the growth engine. You will operate at the intersection of Marketing, Data Science, and Product, building the systems that determine where and how we invest marketing budget. Your mission is to move the organization from correlation (last‑click) to causation (incrementality). You will act as a product owner of measurement, defining the roadmap, building experimentation frameworks, and directly influencing executive‑level decisions.
What you’ll be doing:
- Own the measurement product & roadmap
- Define and evolve the company‑wide measurement strategy (MMM, incrementality, attribution, pLTV bidding)
- Treat measurement as a product, with clear roadmap, adoption, and business impact
- Establish a single source of truth for marketing effectiveness
- Operate as a senior lead who works independently to link complex technical outputs (MMM, pLTV, incrementality) with core business goals
- Build a causal experimentation engine
- Design and scale incrementality testing (GeoLift, holdouts, synthetic controls)
- Create a unified experimentation framework across channels and markets
- Ensure all major investment decisions are backed by statistically sound evidence
- Drive capital allocation decisions
- Own the transition from correlation to causation by designing incrementality frameworks that directly drive executive‑level capital allocation and marginal ROI decisions
- Translate complex outputs into clear, actionable investment recommendations
- Partner with Growth leadership to optimize marginal ROI and payback curves
- Actively challenge channel and market decisions with data‑backed POVs
- Enable cross‑channel and creative learning
- Build structured testing frameworks for creatives, formats, and bidding strategies
- Turn experimentation into repeatable learning systems, not one‑off tests
- Collaborate with Data & Engineering
- Partner with Data Science on MMM, LTV modeling, and causal inference
- Improve signal quality (tracking, attribution inputs, conversion value signals)
We are looking for someone who:
- Has strong foundation in causal inference, experimentation, or econometrics
- Has experience with incrementality testing and advanced measurement frameworks
- Communicates complex technical concepts efficiently to non‑technical teams, gaining their confidence
- Can proactively mitigate conflicts when data challenges existing channel performance
- Is able to operate as a product owner, not just an analyst
- Has proven ability to influence budget allocation and strategic decisions
- Has strong collaboration skills with Data Science and Engineering teams
- Has at least 4-7+ years in marketing science, experimentation, or analytics
- Has experience in multi‑channel performance marketing environments
- Has hands‑on experience with MMM, Geo experiments, or causal modeling
About Super: We are a global technology group, dedicated to building the future of entertainment and fan‑centric experiences. With commercial markets in Brazil, Belgium, Poland, Romania, Greece and Serbia, and a network of offices across Spain, Croatia, Malta, Gibraltar, the Netherlands and the UK, we are a truly international organization. Our purpose at Super has evolved from sports and betting into creating the platform that stretches into the wider world of technology‑driven entertainment. With a growing and diverse team of more than 5,000 people, we create immersive, responsible, and personalised experiences for millions of customers worldwide.
Shaping the Future of Play: Everything we do at Super is rooted in doing what is right: for customers, for each other, and for our long‑term vision. Our Culture Manifesto is our North Star. It captures our purpose, mission, and the six core beliefs that shape how we think, make decisions, and act every day.
Super is committed to the highest standards of compliance, safety, and responsibility. As such, we are active members of the International Betting Integrity Association (IBIA) and the European Gaming & Betting Association (EGBA). At Super, we operate as a high‑performing team. We hire and grow talent based on ability and potential, regardless of background and identity because we know diverse perspectives drive better performance.
Growth Measurement & Experimentation Manager employer: Superbet Group
At Super, we are not just building a platform; we are shaping the future of entertainment and fan experiences. As a Growth Measurement & Experimentation Manager, you will thrive in a dynamic, high-performing culture that values innovation and collaboration, with ample opportunities for professional growth across our international offices. Join us to make impactful decisions that drive our mission forward while enjoying a diverse and inclusive work environment that prioritises your development and well-being.
StudySmarter Expert Advice🤫
We think this is how you could land Growth Measurement & Experimentation Manager
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by practising common questions and scenarios related to growth measurement and experimentation. We recommend doing mock interviews with friends or using online platforms to get comfortable with your responses.
✨Tip Number 3
Showcase your skills through real-world examples. When discussing your experience, focus on specific projects where you’ve driven results, especially in causal inference or incrementality testing. This will help you stand out!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in being part of our mission at Super.
We think you need these skills to ace Growth Measurement & Experimentation Manager
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience in causal inference and experimentation. We want to see how your skills align with our mission to drive growth through data-driven decisions.
Showcase Your Impact:When detailing your past roles, focus on the impact you've made. Use specific examples of how you've influenced budget allocation or improved marketing effectiveness. We love seeing quantifiable results!
Keep It Clear and Concise:Avoid jargon overload! While we appreciate technical expertise, make sure you communicate complex concepts in a way that's easy for everyone to understand. This will show us that you can bridge the gap between data and decision-making.
Apply Through Our Website:We encourage you to apply directly through our careers page. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you're keen on joining our team!
How to prepare for a job interview at Superbet Group
✨Know Your Numbers
As a Growth Measurement & Experimentation Manager, you’ll need to demonstrate a solid understanding of causal inference and incrementality testing. Brush up on your metrics and be ready to discuss how you’ve used data to influence budget allocation in previous roles.
✨Showcase Your Product Ownership Skills
This role requires you to act as a product owner, so come prepared with examples of how you've defined roadmaps and built frameworks in past positions. Highlight your ability to translate complex technical outputs into actionable insights that drive executive-level decisions.
✨Communicate Clearly
You’ll be working with both technical and non-technical teams, so practice explaining complex concepts in simple terms. Think about how you can gain the confidence of stakeholders by making data relatable and actionable.
✨Prepare for Scenario Questions
Expect questions that challenge your approach to capital allocation and experimentation. Prepare scenarios where you had to make tough decisions based on data, and be ready to discuss how you mitigated conflicts when data contradicted existing channel performance.
