Senior Product Manager, Store Systems & Operations

As we modernize and innovate in our retail operations, we are seeking an experienced Senior Product Manager, Store Systems & Operations to lead the strategy, development, and optimization of our store systems technology. You will own the platforms and tools that power retail store operations — POS, inventory management, store communications, and operational software — enabling store teams to deliver a seamless, efficient, and engaging customer experience. You will also help evaluate and manage technology needs for current and future trading card game (TCG) ventures. This role demands a proactive, hands-on, AI-native operator who digs into complex detail independently and drives both strategic and tactical outcomes. First-12-month outcomes you'll own: (1) a prioritized, outcome-based store-systems roadmap tied to measurable operational KPIs; (2) at least one AI/automation capability shipped into store or support workflows with proven impact; (3) a continuous-discovery and experimentation cadence with store teams. This position sits onsite 5 days a week in Grapevine, TX. Responsibilities: Product Ownership: Lead the vision, roadmap, and execution for store systems technology, including POS, inventory management, store communications tools, and operational software. Frame the roadmap around outcomes and OKRs (operational and customer impact), not a feature output list. Act as the primary business owner for store-related technology tied to new initiatives, including upcoming TCG projects. AI-Native Product Leadership: Champion an AI-native operating model — using AI for discovery synthesis, documentation, data analysis, and rapid prototyping as the default way of working. Identify, evaluate, and prioritize AI and automation opportunities across store operations, support tooling, and product workflows. Own outcomes for AI-powered features, including model/quality metrics (e.g., accuracy, false-positive rate, latency) and guardrails for non-deterministic behavior. Define evaluation and rollout discipline for AI features — A/B tests, shadow/pilot deployments, and gradual rollouts with clear success criteria. Operational Excellence: Partner with Store Operations, IT, and other stakeholders to streamline processes, reduce operational friction, and enable store teams to deliver exceptional service. Ensure store systems are stable, efficient, and aligned with compliance, security, and corporate standards. Cross-Channel Integration: Work with digital, merchandising, and supply chain teams to ensure store systems integrate effectively with ecommerce, order management, and fulfillment. Product Development & Enhancement: Manage the product lifecycle for store technology — from requirements and prioritization to testing, launch, and post-release optimization. Collaborate with engineering, UX, and vendor partners to deliver reliable, user-friendly tools for store associates. Run continuous discovery (not episodic) — ongoing store-team feedback, pilots, and rapid iteration to reduce decision latency. Data-Driven Decisions: Leverage operational data, store feedback, and performance metrics to identify opportunities and measure the success of system changes. Define and track the small set of metrics that prove impact; be willing to kill features with evidence. Market & Technology Awareness: Stay current with retail technology trends, POS innovations, and operational best practices to inform strategy. Evaluate new solutions and vendors that could enhance store operations or support TCG initiatives. Required Skills: Bachelor's degree in Business, Information Systems, Computer Science, or related field. 3–5 years of product management or related experience in retail store systems, POS, or operational technology. 3+ years working with cloud technology solutions (e.g., AWS, Azure, Google Cloud). Proven track record managing technology products or platforms in a multi-store retail environment. Strong understanding of store operations workflows and pain points. Experience working with cross-functional teams including store operations, IT, merchandising, and supply chain. Fluent with Agile/Scrum and tools (e.g., JIRA, Confluence), and with outcome-based roadmapping and OKRs. Analytical mindset with the ability to use data to make informed product decisions. Data literacy sufficient to reason about AI/ML outputs — interpreting model performance, false positives/negatives, and experiment results. Excellent communication and stakeholder management skills, including the ability to say no with evidence and keep executive sponsorship. Preferred Skills: Demonstrated use of AI tools (e.g., ChatGPT, Copilot, Gemini) to improve productivity, automate documentation, analyze data, or accelerate product work — with examples of real outcomes, not just tool familiarity. Comfort evaluating AI-powered vendor solutions and distinguishing genuine capability from marketing claims. Experience defining or contributing to SRE or operational reliability processes for store or large-scale distributed systems. Experience building or overseeing tools that support field teams, help desks, or store associates in diagnosing and resolving system issues. Experience with vendor selection and management. Passion for gaming, collectibles, or TCGs is highly preferred. #J-18808-Ljbffr GameStop