Jobs at Fanatics

Own the performance, quality, governance, and continuous improvement of Fanatics Betting & Gaming’s customer-facing GenAI agent. Monitor metrics, investigate issues, refine conversational flows and knowledge grounding, manage evaluation and QA processes, coordinate with Engineering, Product, Compliance, Legal, and Support, and translate data into strategic priorities. Lead a small team responsible for AI knowledge content, testing, regression validation, and release readiness.

Leads sportsbook and casino customer experience operations, managing customer support teams and improving service quality. Uses customer insights, performance data, and analytics to identify root causes, optimize staffing and team performance, establish policies, and drive scalable improvements. Partners with product, engineering, marketing, and operations leaders on cross-functional initiatives, translates feedback into solutions, coaches managers, recruits staff, resolves escalations, and ensures regulatory compliance.

Develops data-driven insights and recommendations for Sportsbook and Casino commercial strategy. Partners with stakeholders, analyzes player behavior, collaborates on scalable iGaming solutions, and contributes to automated personalization and promotion engines. The role also involves building and validating machine learning models, applying statistical experimentation, and exploring Generative AI opportunities.

Make markets and manage risk across sports and financial prediction contracts. Develop real-time pricing models, productionize automated trading strategies, monitor exposures and model performance, identify market-taking opportunities, manage forecasting and P&L reporting, and collaborate with quant, product, engineering, and compliance teams to launch new markets. Mentor junior traders and help establish trading desk processes.

Lead sportsbook acquisition strategy and optimization across the customer funnel, from awareness through day 14. Own cohort growth, customer value, incentives, personalization, experimentation, forecasting, and executive reporting. Use behavioral data, cohort analysis, predictive models, LTV, and commercial analytics to improve acquisition ROI, retention, monetization, and NGR. Collaborate with CRM, Media, Promotions, Analytics, Product, VIP, and gaming teams to develop cross-sell and ecosystem strategies across sportsbook, casino, prediction markets, and free-to-play products.

Develop and test mathematical models for sports betting pricing and risk management. Collect, clean, and analyze sports and betting datasets to identify trends and inform trading strategies. Use Python, C#, R, or C++ to build quantitative models and automate analysis. Collaborate with senior quants, traders, engineers, and product managers, document methodologies, and communicate findings. This hybrid role requires working two to five days weekly in the Denver office.

Leads digital brand media strategy and execution for Fanatics Sportsbook and Casino across paid social, video, CTV, display, programmatic, and audio. Owns media investment, KPIs, campaign reporting, optimization, agency and platform relationships, partnership amplification, testing roadmaps, incrementality, marketing mix modeling, measurement frameworks, and executive presentations. The role drives brand lift, demand generation, market share, downloads, and efficient business growth.

Make markets and manage risk across sports and financial prediction contracts. Develop real-time pricing models, integrate them into production trading systems, monitor and improve model performance, identify market-taking opportunities, and implement automated trading strategies. Collaborate with product, engineering, quant, and compliance teams to launch new markets and contract types. Flexible working hours are required to align with global sporting schedules.

Own analytical foundations for Customer Operations across Support, Fraud, Payments, and Workforce Management. Build SQL pipelines, dashboards, automated reporting, data-quality solutions, metric alerts, and AI performance tracking. Translate complex analysis into actionable recommendations, present findings to senior leaders, manage cross-functional projects, and support AI and automation initiatives.

Partners with senior Engineering leaders on organizational design, leadership coaching, employee relations, talent strategy, workforce planning, and people programs. Supports employee integrity initiatives, M&A integration, AI adoption, people analytics, succession planning, and organizational culture across technical and security-focused teams. Handles sensitive investigations and cross-functional HR initiatives in regulated, globally distributed environments.

Leads the Marketing Analytics function and team, setting strategy, operating models, measurement frameworks, and analytics priorities. Advises executives on customer acquisition, marketing investment, and commercial strategy through actionable insights. Oversees experimentation, KPI reporting, data quality, governance, AI adoption, and cross-functional collaboration with Marketing, Product, Finance, Operations, Data Science, and Engineering.

Own operational data pipelines, dashboards, reports, and analytical requests across customer experience, fraud, payments, workforce management, and VIP operations. Surface trends, anomalies, risks, and actionable recommendations; improve data quality and automate manual reporting. Partner with Data Engineering on dbt and data infrastructure, support AI agent initiatives, measure post-deployment performance, and identify opportunities to apply AI to analytics workflows.