AI-Driven Senior Product Manager, Procure-to-Pay

US LBM; United States; On-site; USD 140,000 - 190,000; Full time

Job summary

US LBM is seeking a Sr. Product Manager for Procure-to-Pay to lead innovation and optimization of the P2P technology platform, including purchasing, vendor onboarding, invoice capture, approvals, and accounts payable.

You will collaborate with finance, operations, and engineering to execute a digital product strategy that reduces cost and improves spend visibility. This role operates in an AI-first environment, co-owning use-case discovery and rapid prototyping across the organization, shaping

Qualifications

• Bachelor's degree and 5+ years in digital product management or related leadership roles.
• Experience in AI and data-driven product use cases, prototyping, and engineering collaboration.
• Experience in procure-to-pay, accounts payable, invoice automation, or spend management platforms.

Responsibilities

• Pair with Lead Engineer to discover AI opportunities and translate them into proofs-of-concept.
• Champion AI-first product approach to accelerate discovery, decisions, and delivery.
• Drive a technology product roadmap to streamline sourcing, buying, receiving, and paying.
• Develop analytical insights to guide strategy and measure success across AP and procurement.
• Collaborate with procurement, AP, operations, finance, engineering, and data analytics teams to deliver impact.
• Be a strong business partner focused on collaboration to drive results.

Skills

AI strategy

Data analytics

Product management

Cross-functional leadership

Education

Bachelor's degree

Tools

Medius

Coupa

Job description

US LBM is seeking a Sr. Product Manager for Procure-to-Pay to lead innovation and optimization of the P2P technology platform, including purchasing, vendor onboarding, invoice capture, approvals, and accounts payable.

You will collaborate with finance, operations, and engineering to execute a digital product strategy that reduces cost and improves spend visibility. This role operates in an AI-first environment, co-owning use-case discovery and rapid prototyping across the organization, shaping