Sr. Product Manager, Pricing and Promotions

Advance Stores Company•Raleigh, NC

10h•Hybrid

About The Position

We are seeking a Sr. Product Manager to own the Pricing & Promotions technology platform a Advance Auto Parts. This role will define the vision, roadmap, and execution for pricing and promotional capabilities that power both digital and in-store experiences. You will work at the intersection of data science, engineering, and business strategy , leveraging technology to deliver dynamic pricing, personalized promotions, and scalable solutions that drive revenue and customer loyalty. This position is 4 days in office, 1 day remote per week, based at our corporate headquarters in Raleigh, North Carolina (North Hills)

Requirements

Education: Bachelor’s degree in Computer Science, Engineering, Business, or related field; MBA or technical master’s preferred.
Experience: 7+ years in product management for technology platforms , preferably in retail or e-commerce.
Proven experience with pricing engines, promotional systems, or similar SaaS solutions.
Skills: Strong technical acumen; ability to translate business needs into platform requirements.
Familiarity with APIs, cloud architecture, and data pipelines.
Proficiency in analytics tools (SQL, BI platforms) and experimentation frameworks.

Nice To Haves

Experience with dynamic pricing algorithms , personalization engines, and AI/ML applications.
Knowledge of retail technology stack (ERP, OMS, POS, e-commerce platforms).
Agile product management expertise; experience with Jira, Confluence, and roadmap tools.

Responsibilities

Product Strategy & Vision Define and articulate the product vision for pricing and promotions technology, aligned with business objectives.
Develop a multi-year roadmap for platform enhancements, automation, and AI-driven pricing models.
Platform Ownership Lead the development and optimization of pricing engines, promotional systems, and integration with e-commerce and POS platforms.
Ensure scalability, reliability, and compliance of pricing and promotional tools across channels.
Data-Driven Decision Making Partner with data science teams to implement dynamic pricing algorithms and predictive models for promotions.
Use A/B testing and experimentation frameworks to validate pricing strategies and promotional effectiveness.
Cross-Functional Collaboration Work closely with engineering, UX, marketing, and merchandising teams to deliver seamless pricing and promotional experiences.
Serve as the primary liaison between business stakeholders and technical teams.
Customer-Centric Innovation Drive personalization in promotions using customer segmentation and behavioral analytics.
Explore emerging technologies (AI/ML, real-time pricing engines) to enhance competitiveness.