Senior Product Manager – Prediction Markets & US Sports Data

Sportradar•New York, NY

1d•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. Its focus is delivering market-moving sports events with ultra-low latency through purpose-built data collection and distribution capabilities. Prediction Markets is the primary focus, with additional responsibility for broader US sports data initiatives that require 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 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 role is based in-office in New York or Las Vegas, with an office-first hybrid model requiring three days per week in the office.

Requirements

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.
An AI-native approach to discovery, analysis, research, prototyping, and everyday product work.
Strong commercial product instincts and experience translating customer problems into scalable products rather than one-off solutions.
Strong analytical skills, including defining meaningful KPIs, interpreting data, and turning insights into 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 addressing both long-term strategy and immediate customer or technical problems.
Ability to operate in a global environment and collaborate across US and European teams and time zones.
Curiosity, ambition, and a 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 in sports data, sports betting, prediction markets, or trading technology products.
Experience with APIs, SQL, data visualization, real-time event processing, sports trading, predictive analytics, or machine-learning 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 the needs of prediction markets, market makers, and other latency-sensitive customers and translate them into product priorities.
Identify the sports, competitions, events, and product capabilities that create the greatest customer value.
Define and improve product KPIs, including latency, data quality, reliability, customer adoption, and commercial impact.
Work hands-on with engineering and operations to understand product behavior and data flows, troubleshoot issues, and support root-cause analysis.
Use AI tools and rapid prototyping to accelerate product discovery, analysis, decision-making, and delivery.
Explain complex technical concepts through clear product narratives and value propositions for customers, commercial teams, and senior leadership.
Partner with US sports leagues, federations, and internal stakeholders on data cooperation, product development, and growth opportunities.
Coordinate 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, incorporate feedback into the roadmap, and balance individual needs with scalable product development.
Promote high standards for product quality, ownership, execution, and continuous improvement.