Senior Product Manager – Prediction Markets & US Sports Data

Sits within Sportradar's Live Data Unit in the United States and owns the continued development, growth, and commercial success of the Prediction Market Feed, a low-latency sports data proposition for prediction markets, market makers, and other latency-sensitive clients. Prediction Markets is the primary focus, but the role also supports broader US sports data initiatives where strong product leadership, technical analysis, customer engagement, or collaboration with US sports leagues and partners is required. It is a hands-on product leadership position at the intersection of sports, technology, data, AI, and emerging prediction markets.

• Own the product vision, strategy, and roadmap for the Prediction Market Feed, driving it from development through scalable adoption, commercial growth, and continuous improvement.
• Develop deep understanding of prediction markets, market makers, and other latency-sensitive customers, translating their needs into clear product priorities and identifying which sports, competitions, events, and capabilities create the greatest value.
• Define and continuously improve product KPIs covering latency, data quality, reliability, customer adoption, and commercial impact.
• Work hands-on with engineering and operations teams to understand product behaviour, analyse 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, exploring 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 prioritisation, maintain direct customer contact to bring feedback into the roadmap, and champion high standards for product quality, ownership, execution, and continuous improvement in a fast-moving and dynamic environment.

• Proven experience owning and scaling 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 the candidate approaches 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 in sports data, sports betting, prediction markets, or trading technology products.
• Experience with APIs, SQL, data visualisation, real-time event processing, sports trading, predictive analytics, or machine-learning products.

• Office-first hybrid model, with team members working in the office three days a week.
• Role based in-office in New York or Las Vegas.
• The company values in-person collaboration, believing it fosters stronger connections, encourages collaboration, and drives innovation.

• 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 organisations, 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.

We're the world's leading sports technology company, at the intersection between sports, media, and betting.