Jobs at Fanatics Commerce

Own paid media campaigns across Google Search, Shopping, PMAX, Meta, Amazon, and other channels. Manage setup, optimization, budgets, spend pacing, testing, targeting, bidding, and creative performance. Analyze ROAS, CPA, CVR, revenue, and large datasets to make real-time decisions, especially around product launches, collectibles drops, and live sports events. Collaborate with product, analytics, and creative teams while introducing automation, AI-enabled insights, and scalable performance improvements.

Leads eCommerce marketing analytics and customer acquisition strategy across paid search, social, display, and affiliate channels. Translates complex data into recommendations for investment, attribution, forecasting, and channel performance. Oversees dashboards, experimentation, statistical analysis, bidding models, and scalable reporting infrastructure while partnering with marketing, data science, engineering, and senior leadership. Manages and mentors analysts and drives end-to-end analytical initiatives that improve profitability, customer experience, and marketing efficiency.

Leads engineering across growth and marketing technology, CRM and lifecycle engagement, and data, BI, and experimentation platforms. Owns acquisition economics, paid-media integrations, AI-native marketing capabilities, customer-data and messaging consolidation, and trustworthy self-service analytics. Builds and manages distributed senior engineering teams, aligns marketing, product, finance, privacy, and data science stakeholders, modernizes platforms, controls costs, and delivers measurable revenue and fan-engagement outcomes.

Manage and optimize paid search campaigns across Google and Bing, including shopping and keyword-based advertising. Launch campaigns for events, products, and partner initiatives; monitor performance; analyze keyword and campaign data; and translate findings into actionable recommendations. The role also supports budget planning, automated bidding, tracking accuracy, reporting, and process improvements while collaborating with marketing and technology partners. Occasional work outside standard hours may be needed for major sporting event launches.

IP Counsel responsible for managing global trademark portfolios, clearance, anti-counterfeiting and enforcement, IP disputes, domain matters, licensing agreements, M&A support, and strategic intellectual property advice. The role partners with executives and business teams, oversees outside counsel, supports licensing operations, and uses AI and digital tools to improve legal outcomes.

Analyze customer behavior across the lifecycle to identify intent, friction points, and opportunities for personalization. Build behavioral pathing, segmentation, measurement frameworks, dashboards, and scalable analytical solutions supporting onboarding, engagement, retention, and reactivation. Partner with marketing, analytics, and engineering teams to integrate CDP capabilities, improve experimentation, automate analyses, maintain data quality, and translate complex findings into actionable insights for technical and non-technical stakeholders.

Build and deploy machine learning models for supply chain, inventory, demand forecasting, pricing, promotion, clearance, and network optimization. Develop time series, predictive, simulation, and discrete optimization models; create scalable pipelines using Python, Spark, and cloud infrastructure; and own the full model lifecycle. Partner with engineering, product, and operations teams, communicate insights, develop decision-support tools, mentor junior data scientists, and measure business impact.

Build and ship full-stack FanApp experiences focused on search, recommendations, merchandising, promotions, and product discovery. Partner with product, design, backend, data, and platform teams to deliver scalable, performant features. Responsibilities include API integrations, testing, instrumentation, experimentation, performance optimization, observability, debugging, and end-to-end ownership from technical design through launch.

Develop and deploy personalized CRM campaigns, lifecycle journeys, automations, and content components in Adobe Journey Optimizer. Translate marketing requirements into scalable technical solutions, implement schemas and data enhancements, build HTML/CSS/Handlebars components, integrate cloud applications through APIs, and manage code through GitHub and CI/CD practices. Collaborate with stakeholders in an agile environment, conduct experiments, analyze campaign KPIs, troubleshoot automation logic, and own journey updates from requirements through production deployment.

Own the architecture and hands-on development of Fanatics’ enterprise AI/ML platform, including the LLM gateway, agent and MCP runtime, retrieval infrastructure, evaluation systems, governance, and cost analytics. Set technical standards, make build-versus-buy decisions, deliver scalable platform capabilities, improve observability and security, mentor engineers, and communicate architectural trade-offs to senior leadership.

Own the strategy, roadmap, and lifecycle of Fanatics Commerce’s AI-driven marketplace and product information management systems. Lead SKU unification, catalog enrichment, seller onboarding, listing optimization, and structured product data initiatives for AI shopping agents and LLM answer engines. Partner with engineering, AI/ML, marketing, operations, and sellers to improve data quality, automation, marketplace performance, and omnichannel customer experiences.

Leads full-cycle technical recruiting for engineering, product, and data organizations. Partners with senior technology leaders on workforce planning, develops proactive sourcing and talent-mapping strategies, manages complex searches, coordinates technical interviews, negotiates offers, and improves recruiting processes through analytics, automation, AI, and market insights. The role also emphasizes diverse pipelines, exceptional candidate experience, employer branding, and stakeholder communication in a global hybrid environment.

Sets enterprise data and integration architecture across commerce, supply chain, ERP, manufacturing, fulfillment, and external trading partners. Defines canonical data models, integration standards, semantic layers, and data platform strategy. Leads architecture decisions involving Snowflake, StarRocks, Iceberg, Kafka, APIs, event-driven systems, AI readiness, privacy, and regulatory obligations. Partners with executives, engineering, product, data governance, security, and compliance leaders while mentoring senior architects and guiding major platform investments.

Leads the global Storefront Engineering organization and owns the technical strategy, architecture, reliability, and customer experience across Fanatics’ e-commerce websites and mobile platforms. Oversees frontend modernization, micro-frontends, design systems, AI-powered personalization, search, experimentation, accessibility, SEO, performance, and peak-event readiness. Builds globally distributed leadership teams, partners with Product, Design, Data Science, and platform organizations, and translates engineering strategy into measurable business outcomes.