Senior PM: Ultra-Low Latency Prediction Markets & US Sports Data

Sportradar

New York (NY)

On-site

USD 150,000 - 210,000

Full time

6 days ago
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Job summary

Sportradar is seeking a Senior Product Manager for Prediction Markets & US Sports Data to lead the Prediction Market Feed and related US data initiatives. You will shape strategy, collaborate with engineering and commercial teams, and deliver low-latency, high-quality data products for market makers and latency-sensitive clients.

The role requires hands-on product leadership across sports, technology, and data, with a focus on measurable business impact, customer value, and cross-functional

Qualifications

  • Experience owning and scaling technology products, particularly in sports data or prediction markets.
  • Strong understanding of US sports ecosystem and live data execution.
  • Ability to translate customer problems into scalable products and measurable outcomes.
  • Proven track record with APIs, data flows, and latency-sensitive systems.

Responsibilities

  • Define and own the product vision, strategy, and roadmap for the Prediction Market Feed.
  • Collaborate with engineering, AI, operations, and commercial teams to drive adoption and growth.
  • Translate customer needs into prioritized product requirements and KPIs.
  • Lead data-driven analysis, performance KPIs, and root-cause analysis for reliability and latency.

Skills

Prediction markets
Sports data
AI-driven product development
Commercial instincts
Data-driven decision making

Tools

APIs
SQL
Data visualization
Real-time processing

Job description

Sportradar is seeking a Senior Product Manager for Prediction Markets & US Sports Data to lead the Prediction Market Feed and related US data initiatives. You will shape strategy, collaborate with engineering and commercial teams, and deliver low-latency, high-quality data products for market makers and latency-sensitive clients.

The role requires hands-on product leadership across sports, technology, and data, with a focus on measurable business impact, customer value, and cross-functional

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