Senior Product Manager, Sports Predictions
New
USFull-TimeSenior
Salary160,000 - 240,000 USD per year
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Job Details
- Experience
- 5+ years
- Required Skills
- Data AnalysisProduct ManagementA/B testing
Requirements
- 5+ years of product management experience in sports tech, sportsbook, DFS, prediction markets, or other real-time trading/data-heavy products.
- Strong understanding of sports data feeds, live data systems, and how structured sports information is used in product applications.
- Hands-on experience with market systems such as grading, settlement logic, live trading, or equivalent real-time transactional environments.
- Strong analytical skills with experience running experiments, interpreting A/B test results, and making data-driven product decisions.
- Familiarity with prediction markets, probability concepts, or pricing mechanics is highly valued.
- Excellent communication skills with the ability to write clear specs, align stakeholders, and operate effectively in fast-paced environments.
- Deep passion for sports with strong attention to detail and understanding of game dynamics.
Responsibilities
- Own the full lifecycle of prediction markets, including creation, pricing structure, live management, grading, and settlement to ensure accuracy, scalability, and reliability.
- Define and optimize multi-venue market experiences by coordinating data and workflows across different prediction and exchange environments to ensure consistency.
- Shape market design and evolution in partnership with trading and exchange teams, including probability modeling, pricing logic, and structural improvements.
- Lead the live and in-game product experience, from pre-event setup to real-time updates, in-play adjustments, and dynamic market behavior during events.
- Drive product experimentation and bet mix optimization using A/B testing, analytics, and behavioral insights to improve engagement and market quality.
- Collaborate closely with engineering and data teams to ensure sports data feeds are properly structured, reliable, and actionable across all product surfaces.
- Translate complex sports, data, and market dynamics into clear product requirements, roadmaps, and execution plans.
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