EZCORP
5001 - 10000 employees
🛒 Retail
👥 B2C
Retail • B2C
EZCORP is a leading provider of pawn loans in the United States and Latin America, formed with 16 pawn stores in 1989. The company specializes in satisfying short-term cash needs for consumers who are cash and credit constrained, offering non-recourse pawn loans collateralized by personal property. In addition to financial services, EZCORP operates retail stores selling primarily pre-owned merchandise in a customer-focused environment. Headquartered in Austin, Texas, EZCORP is dedicated to diversity, inclusion, and the professional development of its team members.
Pricing Product Manager
🔥 2 hours ago
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EZCORP
5001 - 10000 employees
🛒 Retail
👥 B2C
Retail • B2C
EZCORP is a leading provider of pawn loans in the United States and Latin America, formed with 16 pawn stores in 1989. The company specializes in satisfying short-term cash needs for consumers who are cash and credit constrained, offering non-recourse pawn loans collateralized by personal property. In addition to financial services, EZCORP operates retail stores selling primarily pre-owned merchandise in a customer-focused environment. Headquartered in Austin, Texas, EZCORP is dedicated to diversity, inclusion, and the professional development of its team members.
📋 Description
• Own the performance of all pricing methods across all merchandise categories against sales, pricing, and field-satisfaction KPIs. • Lead the strategy of HOW we price: which categories need direct input pricing (DIP prices) tied to retail prices, which parameters drive the Historic Pricing method, which manufacturers and models are covered in the product master data (MDM), and which categories require price buffers. • Trigger WHEN pricing methods need to be optimized, based on performance signals and early-warning indicators. • Define the vision, roadmap, and requirements for AI-driven pricing products — translating model performance into business outcomes and championing AI adoption across the pricing function. • Partner with Data Science to build and operationalize pricing experimentation infrastructure — pilots, A/B tests, trigger logic, and monitoring — including the introduction of a partner-developed AI pricing model (Scoop). • Drive automation and data quality across the pricing pipeline with Data Science and Data Engineering — replacing manual processes with scalable, AI-assisted systems and leveraging Gen AI/LLM product matching to improve the product master data (MDM), aliases, and pricing parameters. • Build the analytical methodology, trigger logic, and response playbook alongside the Pricing Analysts — who own pricing diagnostics and root-cause analysis — then own the trigger-to-action workflow: classify pricing issues (data anomaly, aliasing, MDM, or methodology), recommend a fix, estimate the impact, and communicate it to business stakeholders (Earning Assets). • Guide the integration of external and competitive prices into pricing methods to keep prices market-aligned. • Ensure stable prices during transitions and manage the risk of pricing releases through pre- and post-release analysis. • Prioritize the pricing backlog, balancing immediate enhancements against strategic builds. • Communicate pricing performance, planned changes, and expected business impact to business and executive stakeholders, guiding data-driven pricing decisions and AI adoption.
🎯 Requirements
• Bachelor’s degree in Business, Economics, Engineering, Computer Science, or related field; MBA or advanced degree preferred • 7+ years of product management experience, including ownership of data-driven or AI-powered products • Proven experience partnering with data science teams to build and ship ML, AI, or Gen AI products end-to-end • Technically hands-on: working SQL and Python — able to self-serve analysis, query data directly, and validate model outputs • Demonstrated practical use of AI tools (Claude Code, Claude, or similar LLM tools) in daily work — AI fluency is critical to how this team operates • Experience in pricing, revenue management, or merchandising analytics strongly preferred • Experience designing and running experiments (A/B tests, pilots, monitoring) to validate product changes. • Retail, resale, e-commerce, or pawn industry experience a plus.
🏖️ Benefits
• Competitive compensation and benefits • Generous bonus potential from day one
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