Senior PM: Prediction Markets & US Sports Data

Stadium Scene

New York (NY)

Hybrid

USD 140,000 - 190,000

Full time

2 days ago
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Benefits offered by this job

Hybrid work model
Equity stock purchase program
401k contribution
Bonus program

Job summary

Sportradar is seeking a Senior Product Manager for Prediction Markets & US Sports Data to lead the Live Data Unit's strategic initiatives in the United States. You will own the Prediction Market Feed, collaborating with engineering, AI, and commercial teams to drive growth and reliability.

You will partner with US leagues and customers to translate complex data capabilities into measurable business value, setting KPIs and delivering high-speed, high-quality data products for latency-sensitive

Qualifications

  • 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 and data-driven product decisions.
  • AI-native mindset: using AI to accelerate discovery, analysis, and delivery of product value.

Responsibilities

  • Define and own the product vision, strategy, and roadmap for the Prediction Market Feed.
  • Drive development-to-adoption, growth, and ongoing improvement.
  • Translate customer needs into clear priorities for latency-sensitive data products.
  • Work with engineering, operations, and commercial teams to ensure successful launches and onboarding.
  • Measure KPIs for latency, data quality, reliability, and adoption.
  • Collaborate with US leagues and partners to grow data initiatives.

Skills

APIs
SQL
Data visualization
AI/ML mindset

Tools

Python
Real-time processing

Job description

Sportradar is seeking a Senior Product Manager for Prediction Markets & US Sports Data to lead the Live Data Unit's strategic initiatives in the United States. You will own the Prediction Market Feed, collaborating with engineering, AI, and commercial teams to drive growth and reliability.

You will partner with US leagues and customers to translate complex data capabilities into measurable business value, setting KPIs and delivering high-speed, high-quality data products for latency-sensitive

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