Senior Product Manager – Prediction Markets & US Sports Data

Sportradar · New York, , United States

  • Senior
  • Full-time
  • Posted 2026-11-09
  • Confirmed live on 10 November 2026

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Job description

Job Description
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

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