Senior Product Manager – Prediction Markets & US Sports Data

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.

Senior Product Manager – Prediction Markets & US Sports Data
About the Role

We are looking for a Senior Product Manager – Prediction Markets & US Sports Data to join Sportradar’s Live Data Unit in the United States.

You will own the continued development, growth, and commercial success of Sportradar’s Prediction Market Feed, our low-latency sports data proposition for prediction markets, market makers, and other latency-sensitive clients. The product is focused on delivering market-moving sports events with ultra-low latency, supported by purpose-built data collection and distribution capabilities.

Prediction Markets will be your primary focus, but your impact will extend beyond a single product. You will also support broader US sports data initiatives, particularly where strong product leadership, technical analysis, customer engagement, or collaboration with US sports leagues and partners is required. This broader US sports scope is an explicit part of the role.

This is a hands-on product leadership role at the intersection of sports, technology, data, AI, and emerging prediction markets. You will work closely with engineering, AI, Live Data operations, commercial teams, customers, and partners to turn technical capabilities into reliable, differentiated products that create measurable customer and business value.

The Challenge

• Drive and own the product vision, strategy, and roadmap for the Prediction Market Feed.
• Drive the product from development through scalable adoption, commercial growth, and continuous improvement.
• Develop a deep understanding of prediction markets, market makers, and other latency-sensitive customers, translating their needs into clear product priorities.
• Identify which sports, competitions, events, and product capabilities create the greatest value for customers.
• Define and continuously improve product KPIs covering areas such as latency, data quality, reliability, customer adoption, and commercial impact.
• Work hands-on with engineering and operations teams to understand product behavior, analyze data flows, troubleshoot issues, and support root-cause analysis.
• Use AI tools and rapid prototyping to accelerate discovery, analysis, decision-making, and product delivery.
• Translate complex technical concepts into clear product narratives and value propositions for customers, commercial teams, and senior leadership.
• Partner with US sports leagues, federations, and internal stakeholders to support data cooperation, product development, and growth opportunities.
• Coordinate across Live Data, engineering, AI, operations, QA, commercial, and go-to-market teams to ensure successful product launches and customer onboarding.
• Support broader US sports data product and technology needs where strong local product ownership is required.
• Explore new opportunities across ultra-low-latency sports data, predictive events, sports-specific data collection, and AI-powered sports products.
• Build compelling business cases for product investment and prioritization.
• Maintain direct contact with customers, bringing their feedback into the roadmap while balancing individual needs with building a scalable product.
• Champion high standards for product quality, ownership, execution, and continuous improvement in a fast-moving and dynamic environment.

Your Profile

• Proven experience owning and scaling technology products, ideally in sports data, sports betting, prediction markets or trading technology products.
• Deep familiarity with the US sports ecosystem, including major sports, competition structures, and how live sports events and data translate into betting, prediction markets, trading, and customer value.
• AI-native mindset: AI is a natural part of how you approach discovery, analysis, research, prototyping, and everyday product work.
• Strong commercial product instincts, with experience translating customer problems into scalable products rather than building one-off solutions.
• Excellent analytical skills with the ability to define meaningful KPIs, interpret data, and turn insights into clear product decisions.
• Excellent communication and stakeholder-management skills, with the ability to work effectively across technical teams, commercial functions, senior leadership, customers, leagues, and organisations.
• Strategic thinker with a hands-on, execution-oriented mindset who is comfortable moving between long-term product strategy and solving immediate customer or technical problems.
• Comfortable operating in a global environment and collaborating across US and European teams and time zones.
• Curious, ambitious, and eager to continuously learn in a fast-moving market.
• Passionate about sports, technology, data, and building products that make a measurable difference for customers.
• Experience with APIs, SQL, data visualisation, real-time event processing, sports trading, predictive analytics, or machine-learning products is a strong plus.

What We Offer

• A central product role in one of Sportradar’s most strategically important emerging product areas.
• The opportunity to shape the future of real-time sports data for prediction markets and market makers.
• Significant ownership of a product where speed, data quality, technology, and customer value directly determine success.
• Direct exposure to customers operating at the intersection of sports, technology, and trading.
• The opportunity to influence not only Prediction Markets, but also the broader direction and growth of Sportradar’s US sports data products.
• Close collaboration with experienced product, AI, engineering, operations, and commercial teams across the US and Europe.
• The opportunity to work closely with leading US sports leagues and organizations, including the NBA, MLB, NHL, and MLS, while shaping products built around low-latency data distribution, purpose-built data collection, and emerging AI technologies.
• A high level of ownership, visibility, and influence over product strategy and execution.
• A collaborative, international environment with the role based in-office in New York or Las Vegas.

While we appreciate the flexibility and benefits of working from home, we strongly believe that coming together in person fosters stronger connections, encourages collaboration, and drives innovation—both as individuals and as a company. The energy, shared ideas, and team support we experience in the office strengthen the foundation of our success and culture. For this reason, we are an office-first business operating on a hybrid model, with team members working in the office three days a week to build relationships, exchange ideas, and grow together. 

Sportradar intends to offer the selected candidate base pay within this range, dependent on job-related, non-discriminatory factors including but not limited to experience, qualifications, and location. Base pay is just one component of the Total Rewards that Sportradar provides to compensate and recognize employees for their work. Sportradar offers best-in-class benefits such as a comprehensive benefits package, performance bonus program, equity stock purchase and 401k contribution. Please consult with your recruiter to learn more as all benefits are subject to eligibility requirements.

At Sportradar, we celebrate our diverse group of hardworking employees. Sportradar is committed to ensuring equal access to its programs, facilities, and employment opportunities. All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. We encourage you to apply even if you only meet most of the requirements (but not 100% of the listed criteria) – we believe skills evolve over time. If you’re willing to learn and grow with us, we invite you to join our team!

The ideal candidate will have proven experience owning and scaling technology products, specifically in sports data, sports betting, prediction markets, or trading technology. You should possess a deep familiarity with the US sports ecosystem and an AI-native mindset for discovery, analysis, and product work. Strong commercial product instincts, excellent analytical skills, and effective communication are essential. Experience with APIs, SQL, data visualization, real-time event processing, sports trading, predictive analytics, or machine-learning products is a strong plus.