Senior Data Product Manager - Experimentation
Senior Data Product Manager - Experimentation

Senior Data Product Manager - Experimentation

Full-Time 70000 - 90000 ÂŁ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Lead the vision and strategy for our experimentation platform, driving innovation in sports and gaming.
  • Company: Join Super, a global tech group revolutionising entertainment and fan experiences.
  • Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
  • Other info: Be part of a diverse team dedicated to creating immersive experiences worldwide.
  • Why this job: Shape the future of play and impact millions with cutting-edge technology.
  • Qualifications: 6-8 years in product management, strong data and experimentation expertise required.

The predicted salary is between 70000 - 90000 ÂŁ 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! From operations, to marketing, to product, we are looking for talented people who will shape how millions of customers play, watch, and connect every day.

As a Senior Data Product Manager – Experimentation, you will own the vision, strategy, and roadmap of our internal experimentation platform. Your primary focus will be defining “what” we build and “why”—ensuring our teams have robust, intuitive tools for A/B testing, audience segmentation, feature flag management, and data-driven decision-making. Through close collaboration with Engineering, Data Science, Marketing, and Product teams, you will champion a hypothesis-driven culture, transforming how we learn, iterate, and innovate at scale. Your work will empower every team at SuperBet to rapidly experiment, reduce time-to-insight, and drive measurable business impact.

Key responsibilities

  • Product strategy & vision: Develop a clear, long-term product vision for the Experimentation Platform, aligning with the broader data-driven objectives. Stay attuned to industry best practices, academic research, and emerging technologies to keep our platform at the cutting edge.
  • Defining the “What” and “Why”: Translate business goals and user requirements into well-defined problem statements, expected business impact, and success metrics. Advocate for the importance of hypothesis-driven development, evangelizing experimentation methodologies across the organization.
  • Roadmap & stakeholder management: Build and maintain a prioritized product roadmap for experimentation, balancing quick wins with strategic, long-term initiatives. Collaborate with cross-functional stakeholders (Product, Marketing, Data Science, Engineering) to gather feedback, refine requirements, and drive alignment.
  • Cross-functional collaboration: Partner closely with the Senior Engineering Manager to transform high-level product objectives into a scalable, reliable, and efficient technical platform. Collaborate with Data Scientists and Analysts to define statistical engines, experiment design templates, and consistent KPI frameworks. Work with Marketing and Product teams to ensure the experimentation platform meets diverse needs—ranging from audience segmentation to feature flagging and surveys.
  • Execution & delivery: Clearly communicate product requirements, user stories, and acceptance criteria to engineering teams. Manage the development cycle in an Agile environment, providing clarity on priorities and monitoring progress. Ensure each initiative launches with a defined Problem to Solve, Business Impact, and Success Measurement, tracking progress to inform continuous improvement.
  • Performance & impact tracking: Define robust product success metrics (adoption rates, number of experiments run, time-to-insight, etc.) and implement tracking mechanisms. Analyze usage data and experiment results to validate assumptions, identify gaps, and inform product enhancements. Champion experimentation quality measurements—ensuring teams follow best practices and extract meaningful insights. Work with user communities to collect feedback, refine feature requirements, and iterate on platform improvements.
  • Domain expertise & thought leadership: Serve as the in-house expert on experimentation methodologies, statistical significance, confidence intervals, and advanced testing frameworks. Lead initiatives like an Experimentation Embassy, workshops, and knowledge-sharing sessions to promote best practices across the company.
  • Communication & evangelism: Own the narrative around experimentation—communicating platform updates, success stories, and impact to both technical and non-technical audiences. Continuously evangelize the power of a hypothesis-driven, data-informed approach within the organisation, aligning executives and teams on key objectives.

Qualifications

  • Education & experience: Bachelor’s or Master’s degree in Business, Computer Science, Data Science, Statistics, or a related field (or equivalent practical experience). 6–8+ years of product management experience, ideally with a focus on data products, analytics, or experimentation platforms.
  • Technical & domain expertise: Strong familiarity with A/B testing, multivariate testing, feature flag management, and audience segmentation. Understanding of statistical methods (confidence intervals, p-values, hypothesis testing) and ability to collaborate with data scientists on experiment designs. Exposure to data infrastructure, ETL pipelines, BI tools, and relevant technologies.
  • Product management skills: Proven track record in leading cross-functional teams (Engineering, Data Science, UX) using Agile methodologies. Ability to convert complex data or statistical concepts into clear business value and actionable product requirements. Skilled in developing roadmaps, facilitating stakeholder alignment, and prioritizing high-impact features.
  • Strong differentiators: Hands-on experience building experimentation platforms, customer segmentation systems, or ML evaluation frameworks. Previous work in entertainment, online gaming, or sports betting industries, especially around experimentation and user experience improvements. Previous experience driving large-scale data product initiatives, from ideation to launch.

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. Want to explore our culture in more detail? Visit our careers page: super.xyz/careers

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.

Senior Data Product Manager - Experimentation employer: Super Technologies

At Super, we are not just building a platform; we are creating a vibrant community where innovation thrives and every team member's contribution is valued. Our commitment to a hypothesis-driven culture fosters an environment of continuous learning and experimentation, empowering you to make a tangible impact in the world of sports and gaming. With a diverse and inclusive work culture, ample opportunities for professional growth, and a mission that resonates with millions, joining us as a Senior Data Product Manager means being part of something truly transformative.
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Contact Detail:

Super Technologies Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Data Product Manager - Experimentation

✨Tip Number 1

Network like a pro! Reach out to people in the industry, attend events, and connect with potential colleagues 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 researching the company and its products. Understand their mission and how your role as a Senior Data Product Manager fits into their vision. Tailor your answers to show how you can contribute to their goals.

✨Tip Number 3

Practice your pitch! Be ready to explain your experience and how it aligns with the role. Highlight your expertise in A/B testing and data-driven decision-making, and don’t forget to share examples of past successes.

✨Tip Number 4

Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in being part of our team at Super. Don’t miss out on the chance to shape the future of play!

We think you need these skills to ace Senior Data Product Manager - Experimentation

Product Strategy
A/B Testing
Audience Segmentation
Feature Flag Management
Data-Driven Decision-Making
Statistical Methods
Agile Methodologies
Cross-Functional Collaboration
Roadmap Development
Stakeholder Management
Experimentation Methodologies
Communication Skills
Performance Tracking
User Experience Improvement
Data Infrastructure Knowledge

Some tips for your application 🫡

Show Your Passion: When writing your application, let your enthusiasm for the role and our mission shine through. We want to see how excited you are about pioneering the next era of play and how your experience aligns with our goals.

Be Specific: Use concrete examples from your past experiences to illustrate your skills and achievements. We love seeing how you've tackled challenges in product management, especially in data-driven environments like experimentation platforms.

Tailor Your Application: Make sure to customise your CV and cover letter for this specific role. Highlight relevant experiences that relate directly to the responsibilities outlined in the job description, showing us why you're the perfect fit for our team.

Apply Through Our Website: We encourage you to submit your application through our careers page. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy to do!

How to prepare for a job interview at Super Technologies

✨Know Your Experimentation Inside Out

Make sure you’re well-versed in A/B testing, multivariate testing, and feature flag management. Brush up on statistical methods like confidence intervals and hypothesis testing, as these will be crucial in demonstrating your expertise during the interview.

✨Showcase Your Product Vision

Be prepared to discuss your vision for an experimentation platform. Think about how you would align it with broader data-driven objectives and what innovative features you would propose. This shows you can think strategically and understand the bigger picture.

✨Highlight Cross-Functional Collaboration

Share examples of how you’ve successfully worked with engineering, data science, and marketing teams in the past. Emphasise your ability to gather feedback and drive alignment, as collaboration is key in this role.

✨Prepare for Scenario-Based Questions

Expect questions that ask how you would handle specific challenges related to product strategy or stakeholder management. Practise articulating your thought process and decision-making skills, as this will help you stand out as a candidate who can navigate complex situations.

Senior Data Product Manager - Experimentation
Super Technologies

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