Senior Product Manager – Prediction Markets & US Sports Data

Sportradar•Las Vegas, NV

22h•Hybrid

About The Position

Sportradar is seeking a Senior Product Manager to join its Live Data Unit in the United States. The role owns the continued development, growth, and commercial success of the Prediction Market Feed, a low-latency sports data product for prediction markets, market makers, and other latency-sensitive clients. The product delivers market-moving sports events with ultra-low latency through purpose-built data collection and distribution capabilities. Prediction Markets is the primary focus, alongside broader US sports data initiatives that call for product leadership, technical analysis, customer engagement, or collaboration with US sports leagues and partners. This hands-on product leadership role sits at the intersection of sports, technology, data, AI, and emerging prediction markets. The Senior Product Manager works 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 role is based in-office in New York or Las Vegas and follows an office-first hybrid model, with team members working in the office three days a week.

Requirements

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.
An AI-native approach to discovery, analysis, research, prototyping, and everyday product work.
Strong commercial product instincts and experience turning customer problems into scalable products rather than one-off solutions.
Excellent analytical skills, including defining meaningful KPIs, interpreting data, and using insights to make product decisions.
Excellent communication and stakeholder-management skills across technical teams, commercial functions, senior leadership, customers, leagues, and organizations.
Strategic thinking combined with a hands-on, execution-oriented approach and comfort balancing long-term strategy with immediate customer or technical problems.
Comfort working in a global environment and collaborating across US and European teams and time zones.
Curiosity, ambition, and willingness to keep learning in a fast-moving market.
Passion for sports, technology, data, and building products that make a measurable difference for customers.

Nice To Haves

Experience with APIs, SQL, data visualization, real-time event processing, sports trading, predictive analytics, or machine-learning products.
Experience in sports data, sports betting, prediction markets, or trading technology products.

Responsibilities

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.
Understand prediction markets, market makers, and other latency-sensitive customers, and translate their needs into product priorities.
Identify the sports, competitions, events, and product capabilities that create the greatest value for customers.
Define and improve product KPIs for 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 product discovery, analysis, decision-making, and delivery.
Translate 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 for product launches and customer onboarding.
Support broader US sports data product and technology needs where local product ownership is required.
Explore opportunities in ultra-low-latency sports data, predictive events, sports-specific data collection, and AI-powered sports products.
Build business cases for product investment and prioritization.
Maintain direct customer contact and incorporate feedback into the roadmap while balancing individual needs with scalable product development.
Promote high standards for product quality, ownership, execution, and continuous improvement.