Director, Pricing Optimization

We’re looking for bold, entrepreneurial talent ready to help build something extraordinary — and reshape the future of building products distribution. QXO is a publicly traded company founded by Brad Jacobs with the goal of building the market‑leading company in the building products distribution industry. On April 30, 2025, QXO completed its first acquisition:
Beacon Building Products, a leading distributor in the sector. We are building a customer‑focused, tech‑enabled, and innovation‑driven business that will scale rapidly through accretive M&A, organic growth, and greenfield expansion. Our strategy is rooted in delivering exceptional customer experiences, improving operational efficiency, and leveraging data, digital tools, and AI to modernize a historically under‑digitized industry.

We are seeking a Director of Pricing Optimization to lead the modernization of B2B pricing through intelligent automation, standardized analytics, and streamlined pricing processes. This role owns the strategy and execution of system‑enabled pricing capabilities that improve speed, consistency, visibility, and commercial performance across complex pricing workflows.

The Director integrates analytics with automated systems, rule engines, and workflow orchestration to move pricing from manual, exception‑driven processes toward structured, system‑driven decisioning. The focus is on process transformation, governance, and scalable automation, with analytics serving as the foundation—not the core deliverable.

• Own the vision and roadmap for pricing automation, analytics, and process improvement.
• Establish clear pricing KPIs, dashboards, and reporting to support consistent decision‑making.
• Move the organization from manual pricing to rules‑driven and system‑enabled workflows.

• Oversee design and rollout of pricing rules, approval workflows, deal guidance, and system‑driven recommendations across CPQ/ERP platforms.
• Ensure automation includes appropriate exception handling and governance.

• Direct development of core pricing analytics (price realization, margin drivers, discount trends, segmentation).
• Use advanced methods when needed, without requiring hands‑on model building.
• Translate analytics into clear actions, rules, and system logic.

• Redesign pricing processes across price setting, approvals, contracts, and renewals.
• Implement workflow automation and decision engines with IT and Commercial Operations.
• Define RACI, controls, and auditability for automated pricing decisions.

• Drive adoption of pricing tools and automated workflows across commercial teams.
• Communicate insights and outcomes clearly to cross‑functional and executive partners.

• Champion pricing platforms, data quality, and automation capabilities.
• Establish governance for pricing rules, system decisions, overrides, and compliance.

• 10+ years in pricing, commercial operations, revenue management, or analytics‑driven process transformation.
• 5+ years leading teams in pricing, automation, digital transformation, or commercial excellence.

• Strong understanding of pricing analytics and how to operationalize them in systems.
• Experience with workflow automation, rule engines, and integrated pricing processes.
• Ability to bridge technical, operational, and commercial needs in a practical way.

Advanced degree in Business, Economics, Statistics, Data Science, Operations Research, Computer Science, or related field preferred.

• 401(k) with employer match
• Medical, dental, and vision insurance
• PTO, company holidays, and parental leave
• Paid training and certifications
• Legal assistance and identity protection
• Pet insurance
• Employee assistance program (EAP)

QXO is an Equal Opportunity Employer. We value diversity and do not discriminate on the basis of race, color, religion, sex, national origin, age, disability, or any other protected status.

To comply with Pay Transparency laws, employers must disclose an annual salary range. Actual offers depend on factors such as location, experience, skills, and market data. This position may also offer variable compensation.

Salary Range USD $ - USD $ /Yr.