Job description

What We Need Corpay is currently looking to hire an AI Product Delivery Excellence Manager within our Payables division. In this role, the AI Product Delivery Excellence Manager is a key driver of product delivery excellence, helping Product teams and leaders adopt and continuously improve modern, AI-driven planning, discovery, prioritization, and delivery readiness practices. The role combines strategic product delivery leadership with operational rigor to ensure teams define, prioritize, and prepare high-quality work aligned with business priorities in a predictable and efficient way, while effectively leveraging AI tools. How We Work As an AI Product Delivery Excellence Manager, you will be expected to work in a virtual environment. Corpay will set you up for success by providing: Company-issued equipment Formal, hands-on training Role Responsibilities The responsibilities of the role will include: Optimizing the full product delivery lifecycle from intake and discovery through prioritization and ready-for-development handoff Improving flow efficiency by identifying and removing bottlenecks across Product workflows and systems Shifting teams toward continuous planning and outcome-based execution Balancing speed, quality, and predictability in product readiness and delivery inputs Owning discovery predictability and operational health across Product teams Increasing visibility of cross-team dependencies, prioritization risks, and handoff issues while driving mitigation with stakeholders Maintaining stable Product operations through scope discipline, clear operating rhythms, and consistent decision-making Driving adoption of AI-driven product and delivery practices Leveraging AI tools and team analytics for intake planning, prioritization, portfolio visibility, and delivery tracking Identifying risks and opportunities through data-driven insights Continuously evaluating and adopting emerging AI capabilities to improve Product effectiveness and delivery readiness Partnering with Product, Engineering, and stakeholders to align planning and delivery with strategic objectives Collaborating with Engineering to balance AI-DLC initiatives, product priorities, and operational delivery needs Communicating progress, risks, and outcomes clearly and consistently Partnering with leaders and stakeholders to evolve Product practices and operating models Defining, tracking, and reporting key Product and shared delivery metrics Providing actionable insights to inform prioritization and delivery decisions Monitoring Product operating performance and proactively addressing deviations Promoting adherence to quality standards, planning discipline, and Product best practices Maintaining consistent Product artifacts, discovery processes, and handoff standards Supporting governance, compliance, and audit readiness where required Leading continuous improvement using agile and flow-based principles adapted to AI-driven development Running experiments to improve team effectiveness and Product operating outcomes Standardizing best practices across teams while enabling local adaptability Coaching teams on AI-DLC, Product operating principles, and evolving ways of working Enabling adoption of new tools and operating practices through facilitation, coaching, and hands-on support Fostering high-performing, accountable, and self-organizing teams Promoting a culture of continuous learning, innovation, and ownership Qualifications & Skills 5+ years of experience in Product Operations, Product Delivery, Agile Delivery, Program Management, or similar roles Bachelor's degree in Business, Technology, or a related field, or equivalent practical experience Experience working with cross-functional Product and engineering teams Proven track record of improving planning, delivery readiness, and operating predictability Experience in fast-moving, technology-driven environments Experience leading adoption of new technologies, operating practices, or delivery models Demonstrated expertise with Jira or similar tooling, including administration, workflow design, custom fields, and reporting Experience with Product and delivery metrics, reporting, and analytics Hands-on experience with AI-assisted development or Product tools such as GitHub Copilot, Cursor, ChatGPT, or similar platforms Understanding of AI-DLC, agile delivery, and flow-based operating models Strong analytical thinking and problem-solving skills Ability to interpret and act on data-driven insights Excellent communication skills Demonstrated change leadership and coaching capability Preferred Qualifications Experience in organizations actively scaling AI-assisted software or product delivery Experience formalizing operating governance in regulated or audit-sensitive environments Experience coaching teams through operating model transitions Familiarity with AI workflow tools, prompt-based process automation, or LLM-assisted Product tooling Scrum Master, SAFe, or Agile coaching certification (as a foundation, not a requirement to apply Scrum specifically) Experience in a FinTech, SaaS, or B2B product environment Experience with product analytics or BI tooling (e.g., Tableau, Looker, Power BI) Benefits & Perks Comprehensive Benefits Package including, Medical, Dental, Vision and Paramedical benefits, as of day one Optional company match RRSP program Virtual fitness classes offered company-wide Time-off including major holidays, vacation, sick, personal, & volunteer time Discounted gym membership rate Philanthropic support with both local and national organizations Fun culture with company-wide contests and prizes

Requirements

Must-haves

What We Need
As an AI Product Delivery Excellence Manager, you will be expected to work in a virtual environment. Corpay will set you up for success by providing:
Company-issued equipment
Formal, hands-on training
Role Responsibilities
Optimizing the full product delivery lifecycle from intake and discovery through prioritization and ready-for-development handoff
Improving flow efficiency by identifying and removing bottlenecks across Product workflows and systems
Shifting teams toward continuous planning and outcome-based execution
Balancing speed, quality, and predictability in product readiness and delivery inputs
Owning discovery predictability and operational health across Product teams
Increasing visibility of cross-team dependencies, prioritization risks, and handoff issues while driving mitigation with stakeholders
Maintaining stable Product operations through scope discipline, clear operating rhythms, and consistent decision-making
Driving adoption of AI-driven product and delivery practices
Leveraging AI tools and team analytics for intake planning, prioritization, portfolio visibility, and delivery tracking
Identifying risks and opportunities through data-driven insights
Continuously evaluating and adopting emerging AI capabilities to improve Product effectiveness and delivery readiness
Partnering with Product, Engineering, and stakeholders to align planning and delivery with strategic objectives

Nice-to-haves

Experience in organizations actively scaling AI-assisted software or product delivery
Experience formalizing operating governance in regulated or audit-sensitive environments
Experience coaching teams through operating model transitions
Familiarity with AI workflow tools, prompt-based process automation, or LLM-assisted Product tooling
Scrum Master, SAFe, or Agile coaching certification (as a foundation, not a requirement to apply Scrum specifically)
Experience in a FinTech, SaaS, or B2B product environment
Experience with product analytics or BI tooling (e.g., Tableau, Looker, Power BI)

Application prep

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Keywords to mirror

aiagilejirallmscrum

Platform: dayforce
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision