Define and execute the long-term vision for WEX’s quote-to-cash and revenue lifecycle ecosystem across multiple business lines
Lead enterprise-wide initiatives focused on reducing revenue leakage and improving billing accuracy through platform modernization and workflow optimization
Identify and prioritize AI-enabled transformation opportunities across Finance, HR, Legal, Operations, and customer lifecycle functions
Partner with executive stakeholders to align enterprise priorities, drive organizational change, and influence strategic decision-making
Build scalable, AI-native product and platform strategies that modernize customer and employee experiences
Simplify fragmented workflows and operational processes through automation, intelligent tooling, and platform consolidation
Drive cross-functional collaboration across Product, Engineering, Finance, Security, Legal, Commercial, and Operations teams
Lead through ambiguity while balancing long-term strategic transformation with near-term business outcomes
Develop roadmaps and execution strategies for enterprise-scale modernization initiatives
Foster a culture of innovation, accountability, experimentation, and responsible AI adoption
Lead and grow a high-performing team of product leaders and AI-focused builders
Deliver measurable business outcomes tied to revenue growth, operational efficiency, customer experience, and cost-to-serve reduction
Evaluate and leverage modern AI tooling, prototyping environments, and AI-builder platforms to accelerate experimentation and delivery
Requirements
15+ years of professional experience with significant experience in Product Management and enterprise product leadership roles
Minimum 5 years of people management experience leading high-performing teams
Proven experience leading enterprise transformation initiatives across complex, matrixed organizations
Strong strategic thinking capabilities with the ability to define long-term platform visions and execution roadmaps
Exceptional executive communication, collaboration, and stakeholder management skills
Demonstrated ability to influence and align senior leaders with competing priorities
Experience modernizing enterprise platforms, workflows, or operational ecosystems
Strong systems-thinking and operational problem-solving capabilities
AI-forward mindset with familiarity leveraging AI-enabled workflows, automation tools, and modern AI prototyping environments
Experience working with AI-assisted development or prototyping tools such as Cursor, Lovable, Bolt, or similar technologies
Ability to operate effectively in highly ambiguous, rapidly evolving environments
Proven ability to balance strategic transformation work with measurable business execution
Experience driving product strategy across multiple business domains and enterprise stakeholders
Bachelor’s degree preferred; equivalent practical experience will also be considered