AI Delivery Excellence Manager

Corepay

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Beaverton, OR
Posted
4 days ago
Freshness
Confirmed live yesterday

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Salary context

How this pay compares to similar roles

Similar $208k
$140k most similar roles pay here $265k

This listing doesn't post a salary. Most similar roles pay $167,700–$248,025.

Based on 239 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 41 open roles on FindRole.

Listed pay typically runs $153,500–$180,000 across 12 roles with salary data.

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At a glance

TL;DR · AI Delivery Excellence Manager

The AI Delivery Excellence Manager joins the Payables division within the Corporate Payments line of business to drive software delivery excellence. This role focuses on optimizing the full delivery lifecycle, improving flow efficiency by removing bottlenecks, and shifting teams toward continuous delivery and outcome-based execution. You will manage delivery predictability, identify cross-team dependencies, and ensure stability through scope control while integrating AI-driven engineering practices into daily workflows. Key responsibilities include using data-driven insights for forecasting, tracking key metrics, and coaching teams on flow-based principles. The role requires expertise in agile tools like Jira and Azure DevOps, alongside hands-on experience with AI-assisted development tools such as GitHub Copilot, Cursor, Claude Code, and ChatGPT. You will solve complex delivery challenges by balancing speed and quality while promoting high-performing, self-organizing teams within a technology-driven environment.

What you'll do

  • Optimize the full delivery lifecycle from planning through execution and release to ensure high-quality outcomes.
  • Drive flow efficiency by identifying and removing bottlenecks across teams and systems.
  • Integrate AI-driven engineering tools and workflows into daily team operations and development practices.
  • Manage delivery predictability, scope control, and risk mitigation across cross-functional teams.
  • Use data-driven insights and analytics to forecast, track, and report on key delivery metrics.
  • Coach and facilitate the adoption of agile principles and AI-assisted development tools for engineering teams.
  • Standardize best practices and processes while leading experiments to improve team performance.
  • Partner with stakeholders to align technical execution with strategic business objectives.

What we're looking for

  • 8+ years of experience in agile delivery, engineering operations, or similar roles.
  • Experience working with cross-functional engineering teams.
  • Proven track record of improving delivery performance and predictability.
  • Experience leading the adoption of new technologies, delivery practices, or operating models.
  • Familiarity with agile tools such as Jira and Azure DevOps.
  • Experience with delivery metrics, reporting, and analytics.
  • Hands-on experience using AI-assisted development tools like GitHub Copilot, Cursor, Claude Code, or ChatGPT.
  • Understanding of AI-DLC, DevOps, and flow-based delivery models.

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