Senior Product Manager – Prediction Markets & US Sports Data

Sportradar•New York, NY

2d•$130,000 - $165,500•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 using purpose-built data collection and distribution capabilities. Prediction Markets is the primary focus, with broader support for US sports data initiatives where product leadership, technical analysis, customer engagement, or collaboration with US sports leagues and partners is needed. This hands-on product leadership role spans sports, technology, data, AI, and emerging prediction markets. The manager works with engineering, AI, Live Data operations, commercial teams, customers, and partners to create reliable, differentiated products that deliver 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 employees working in the office three days a week. The stated annual base salary range is $130,000–$165,500, subject to job-related factors. Sportradar also describes a comprehensive benefits package, performance bonus program, equity stock purchase, and 401(k) contribution, subject to eligibility requirements.

Requirements

Proven experience owning and scaling technology products; experience in sports data, sports betting, prediction markets, or trading technology products is ideal.
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 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 turning insights into product decisions.
Excellent communication and stakeholder-management skills across technical teams, commercial functions, senior leadership, customers, leagues, and organizations.
Strategic and hands-on execution-oriented approach, with comfort moving between long-term product strategy and 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.

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 latency-sensitive customers, translating their needs into product priorities.
Identify the sports, competitions, events, and product capabilities that create the greatest customer value.
Define and improve product KPIs for latency, data quality, reliability, customer adoption, and commercial impact.
Work with engineering and operations teams to understand product behavior and data flows, troubleshoot issues, and support root-cause analysis.
Use AI tools and rapid prototyping to accelerate discovery, analysis, decision-making, and product 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 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.