
- employees
🎲 Gambling
⚽ Sports
👥 B2C
Gambling • Sports • B2C
Fanatics Betting & Gaming is a consumer-facing U. S. sports betting and online casino operator (branded as Fanatics Sports & Casino / Fanatics Sportsbook / Fanatics Casino) that offers sportsbook betting, online casino games, event contract trading (Fanatics Markets), and a unified loyalty currency called FanCash. It provides mobile apps and web experiences, state-by-state availability across many U. S. jurisdictions, promotional offers, partnerships with sports teams, and responsible-gaming tools and disclosures. Morton St. Trading Investments, LLC handles the event-contract trading side and is CFTC-registered.
🕒 October 23
Where this job comes from
Posted on Fanatics Betting & Gaming's careers page, not through a job board
First seen by Remote Rocketship October 23
Still open on Fanatics Betting & Gaming's site. Checked 2 hours ago.

- employees
🎲 Gambling
⚽ Sports
👥 B2C
Gambling • Sports • B2C
Fanatics Betting & Gaming is a consumer-facing U. S. sports betting and online casino operator (branded as Fanatics Sports & Casino / Fanatics Sportsbook / Fanatics Casino) that offers sportsbook betting, online casino games, event contract trading (Fanatics Markets), and a unified loyalty currency called FanCash. It provides mobile apps and web experiences, state-by-state availability across many U. S. jurisdictions, promotional offers, partnerships with sports teams, and responsible-gaming tools and disclosures. Morton St. Trading Investments, LLC handles the event-contract trading side and is CFTC-registered.
• Own product strategy for customer-facing ML applications in the flagship product • Tie product strategy to customer acquisition cost, cross-sell rates, and engagement objectives • Design non-deterministic product solutions where models play a central role • Define measurement and evaluation of model performance, including probabilistic outputs • Run experimentation and testing to guide shipping decisions • Partner with ML engineers, data scientists, commercial teams, and CRM teams • Translate between technical and non-technical stakeholders and educate partners without ML or quantitative backgrounds • Balance model quality against business needs and make pragmatic tradeoffs
• Senior product management experience, with a track record in product growth, experimentation, or data-driven consumer products • Quantitative background in statistics, measurement for probabilistic systems, or LLM evaluation frameworks • Ability to make ML-specific product decisions and evaluate model performance • Experience in consumer-facing product environments with large user bases and mature data and experimentation practices • Strong communication skills, with patience for teaching non-technical stakeholders • Flexible, pragmatic mindset; comfortable compromising and moving quickly • Specific travel and participation requirements may apply based on role and location
• Base salary and bonus • Full-time employment • In-person onboarding/cultural immersion may include Launching into Better: LIVE, a multi-day experience in New York City • Benefits information provided at https://benefitsatfanatics.com/
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