Jobs at Fanatics

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.

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.

Lead full-cycle technical recruiting for engineering roles, partnering with engineering leaders to define hiring needs, build targeted talent pipelines, source passive candidates, assess applicants, and manage candidates through offer acceptance. Provide market insights, use recruiting data to improve search outcomes, maintain accurate records in Greenhouse, and support scalable recruiting processes in a fast-paced environment.

Leads performance creative strategy for Fanatics Markets across paid social, app networks, CTV, affiliates, and lifecycle channels. Develops creative frameworks, briefs, testing agendas, audience insights, and performance readouts. Partners with Creative, Media, Analytics, CRM, Brand, and agency teams to optimize hooks, formats, offers, creators, and campaign assets. Builds a learning library and scales winning creative while ensuring compliance with responsible gaming standards.

Leads Fanatics’ marketing investment strategy, budget, and effectiveness program. Owns annual planning, quarterly reforecasting, brand-versus-performance allocations, return guardrails, marketing mix modeling, incrementality testing, metric standards, and executive reporting. Partners with Finance, Data Science, and Analytics, builds the investment and effectiveness team, and guides budget shifts using causal evidence, response curves, CAC, payback, and cohort value models.

Manage a team of 2–3 analysts while remaining hands-on with SQL, dbt models, dashboards, and complex operational analyses. Lead ambiguous, cross-functional initiatives, deliver recommendations to senior stakeholders, ensure data quality, and improve reporting automation. Partner on AI analytics strategy, data readiness, agent evaluation, and human-in-the-loop governance. Responsibilities include coaching, prioritization, performance management, technical review, KPI development, and operational insights across customer experience, fraud, payments, workforce management, and VIP functions.