AI Product Delivery Excellence Manager

Corepay

Confirmed live today High trust

Quick summary

Work type
On-site
Location
Peachtree Corners, GA
Posted
2 days ago
Freshness
Confirmed live today

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Salary context

How this pay compares to similar roles

Similar $208k
$155k most similar roles pay here $250k

This listing doesn't post a salary. Most similar roles pay $174,925–$241,112.

Based on 240 similar postings.

Employer

About Corepay

Corepay is a payment solutions provider offering merchant services, payment processing technology, and ISO/MSP programs for businesses and payment agents. Industry: Payments Technology & Merchant Services

Corepay currently has 38 open roles on FindRole.

Listed pay typically runs $145,000–$172,500 across 12 roles with salary data.

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At a glance

TL;DR · AI Product Delivery Excellence Manager

The AI Product Delivery Excellence Manager joins the Payables division to drive product delivery excellence by helping teams adopt modern, AI-driven planning, discovery, prioritization, and delivery readiness practices. This role focuses on optimizing the full product lifecycle from intake through development handoff while improving flow efficiency and removing workflow bottlenecks. The manager will balance speed, quality, and predictability, manage cross-team dependencies, and ensure stable operations through scope discipline and consistent decision-making. Key responsibilities include leveraging AI tools for portfolio visibility, tracking delivery metrics, and coaching teams on agile and flow-based principles adapted for AI-driven development. Required skills include experience in Product Operations or Program Management, proficiency with Jira, and hands-on experience with AI-assisted tools like GitHub Copilot, Cursor, or ChatGPT. The role addresses the challenge of scaling product effectiveness through data-driven insights and automated workflows.

What you'll do

  • Optimize the full product delivery lifecycle from intake and discovery through prioritization and development handoff.
  • Identify and remove bottlenecks across product workflows to improve flow efficiency and operational health.
  • Drive the adoption of AI-driven tools and practices for planning, prioritization, and delivery tracking.
  • Manage cross-team dependencies and prioritize risks by providing data-driven insights to stakeholders.
  • Maintain stable product operations through scope discipline, consistent decision-making, and clear operating rhythms.
  • Define, track, and report key metrics to inform prioritization and improve product performance.
  • Coach teams on AI-assisted development, agile principles, and evolving ways of working.
  • Standardize best practices across teams while ensuring compliance and audit readiness.

What we're looking for

  • Bachelor's degree in Business, Technology, or a related field, or equivalent practical experience.
  • 5+ years of experience in Product Operations, Product Delivery, Agile Delivery, Program Management, or similar roles.
  • Experience working with cross-functional Product and engineering teams in fast-moving, technology-driven environments.
  • Proven track record of improving planning, delivery readiness, and operating predictability.
  • 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; coaching capability; and strong analytical skills.
  • Experience in organizations scaling AI-assisted software or formalizing governance in regulated environments (preferred).
  • Familiarity with AI workflow tools, prompt-based automation, or LLM-assisted tooling (preferred).
  • Scrum Master, SAFe, or Agile coaching certification (preferred).
  • Experience in a FinTech, SaaS, or B2B product environment (preferred).
  • Experience with product analytics or BI tooling such as Tableau, Looker, or Power BI (preferred).

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