Staff Product Manager, AI/ML Growth & Experiments

Fanatics Betting & Gaming; Oregon; Hybrid; USD 162,000 - 213,000; Full time

Job summary

Fanatics Betting & Gaming is expanding its investment in machine learning and seeks a product leader to shape the strategy for customer-facing ML applications. You’ll work with engineers, data scientists, and partners to embed ML into the customer experience and drive growth across the Fanatics ecosystem.

This high-visibility role requires translating between technical and non-technical stakeholders, defining how model performance is measured, and moving quickly with pragmatic tradeoffs to

Qualifications

• Senior product management experience with growth, experimentation, or data-driven consumer products.
• Quantitative background in statistics or evaluation frameworks.
• Ability to make ML-specific product decisions and evaluate model performance.
• Experience in consumer-facing environments with large user bases and mature data practices.
• Strong communication skills and ability to teach non-technical stakeholders.
• Flexible, pragmatic mindset and willingness to move quickly.

Responsibilities

• Own product strategy for customer-facing ML applications tied to growth objectives.
• Design non-deterministic solutions where models add value.
• Define measurements for model performance, including probabilistic outputs.
• Run experimentation and testing to guide what to ship.
• Collaborate with ML engineers, data scientists, and commercial teams toward revenue targets.
• Translate between technical and non-technical stakeholders.
• Make pragmatic tradeoffs balancing model quality and business needs.

Skills

Senior product management

Quantitative background

ML-specific product decisions

Consumer-facing products

Strong communication

Flexible/pragmatic mindset

Job description

Fanatics Betting & Gaming is expanding its investment in machine learning and seeks a product leader to shape the strategy for customer-facing ML applications. You’ll work with engineers, data scientists, and partners to embed ML into the customer experience and drive growth across the Fanatics ecosystem.

This high-visibility role requires translating between technical and non-technical stakeholders, defining how model performance is measured, and moving quickly with pragmatic tradeoffs to