Staff Product Manager - AI / ML
About The Position
Fanatics Betting and Gaming is seeking a product leader to shape the strategy for customer-facing machine-learning applications. The role works closely with engineers, data scientists, product and commercial partners to bring machine learning into the customer experience and drive growth across the Fanatics ecosystem. It is a high-visibility position focused on measuring and improving the impact of growth investments. The product leader owns strategy for customer-facing ML applications in the flagship product, designs solutions in which models play a central role, determines where machine learning adds value, and establishes how model performance is measured. The role uses experimentation to inform product decisions, partners with ML and commercial teams, and translates technical concepts for non-technical stakeholders while balancing model quality with business needs.
Requirements
- 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; prior experience as a data scientist is not required.
- Experience in consumer-facing product environments with large user bases and mature data and experimentation practices.
- Strong communication skills and patience for teaching non-technical stakeholders.
- Flexible, pragmatic mindset; comfortable compromising and moving quickly rather than waiting for perfection.
Responsibilities
- Own product strategy for customer-facing ML applications in the flagship product, aligned with customer acquisition cost, cross-sell rates, and engagement objectives.
- Design non-deterministic product solutions where models play a central role and determine where machine learning adds value.
- Define how model performance is measured and evaluated, including measurement of probabilistic outputs.
- Use experimentation and testing as core inputs to decisions about what to ship.
- Partner with ML engineers and data scientists on requirements and evaluation, and with commercial and CRM teams working toward revenue targets.
- Translate between technical and non-technical stakeholders and educate partners without an ML or quantitative background.
- Make pragmatic tradeoffs and move quickly, balancing model quality against business needs.
Benefits
- Benefits information is available at benefitsatfanatics.com; specific benefits are not listed in the posting.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
