AI Delivery Excellence Manager
Corpay Beaverton, Oregon, United States
Financial Services · 10,001+ employees
About the role
The AI Delivery Excellence Manager will optimize the software delivery lifecycle by integrating AI-driven practices and removing bottlenecks across teams. They will partner with stakeholders to align delivery outcomes with strategic business objectives while maintaining high standards of quality and predictability.
What they look for
Requirements
Candidates must have 8+ years of experience in agile delivery or engineering operations with a proven track record of improving delivery performance. Proficiency in AI-assisted development tools and familiarity with DevOps and flow-based delivery models are required.
Benefits
Full description
What We Need
Corpay is currently looking to hire an AI Delivery Excellence Manager within our Payables division. This position falls under our Corporate Payments line of business and is located in Beaverton, OR. This role serves as a key driver of software delivery excellence, helping teams and leaders adopt and continuously improve modern, AI-driven delivery practices. It combines strategic delivery leadership with operational excellence to ensure teams deliver high-quality outcomes aligned to business priorities predictably and efficiently, all while leveraging AI tools. In this role, you will report directly to the Director of DevOps & Technical Support in the Payables division.
How We Work
As an AI Delivery Excellence Manager, Corpay will set you up for success by providing:
- Assigned office workspace at our Beaverton office
- Company-issued equipment
- Formal, hands-on training
Role Responsibilities
The responsibilities of the role will include:
- Optimizing the full delivery lifecycle from planning through execution and release
- Driving flow efficiency by identifying and removing bottlenecks across teams and systems
- Shifting teams toward continuous delivery and outcome-based execution
- Balancing speed, quality, and predictability in delivery outcomes.
- Owning delivery predictability and execution health across teams
- Enabling visibility of cross-team dependencies and delivery risks, driving alignment and mitigation across stakeholders
- Maintaining stability of delivery through scope control and disciplined execution
- Driving adoption of AI-driven engineering and delivery practices, helping teams integrate new tools, workflows, and capabilities into day-to-day execution
- Leveraging AI tools and team analytics for planning, forecasting, and delivery tracking
- Identifying risks and opportunities using data-driven insights
- Evaluating and adopting emerging AI capabilities to enhance performance
- Partnering with Product, Engineering, and stakeholders to align delivery with strategic objectives
- Collaborating with Product to balance AI-DLC initiatives with operational engineering work
- Communicating progress, risks, and outcomes effectively
- Partnering with leaders and stakeholders to drive adoption of evolving delivery practices and operating models
- Defining, tracking, and reporting on key delivery metrics
- Providing actionable insights to inform decisions
- Monitoring delivery performance and proactively address deviations
- Promoting adherence to quality standards and engineering best practices
- Maintaining consistency of delivery artifacts and processes
- Supporting governance, compliance, and audit readiness where required
- Driving continuous improvement using agile and flow-based principles adapted to AI-driven development
- Leading experiments to improve delivery performance and team effectiveness
- Standardizing best practices across teams while enabling adaptability
- Coaching teams on flow-based delivery principles, AI-driven engineering practices, and continuously evolving ways of working
- Enabling successful adoption of new tools, technologies, and delivery practices through coaching, facilitation, and hands-on support
- Fostering high-performing, accountable, and self-organizing teams
- Promoting a culture of continuous learning, innovation, and ownership
Qualifications & Skills
- 8+ years 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 in fast-paced, technology-driven environments
- Experience leading adoption of new technologies, delivery practices, or operating models
- Familiarity with agile tools (e.g., Jira, Azure DevOps, collaboration tools)
- Experience with delivery metrics, reporting, and analytics
- Hands-on experience using AI-assisted development tools such as GitHub Copilot, Cursor, Claude Code, ChatGPT, or comparable AI coding, analysis, and delivery-support platforms.
- Understanding of AI-DLC, DevOps, and flow-based delivery models
Benefits & Perks
- Medical, Dental & Vision benefits available the 1st month after hire
- Automatic enrollment into our 401(k) plan (subject to eligibility requirements)
- Virtual fitness classes offered company-wide
- Robust PTO offerings including major holidays, vacation, sick, personal, & volunteer time
- Employee discounts with major providers (i.e. wireless, gym, car rental, etc.)
- Philanthropic support with both local and national organizations
- Fun culture with company-wide contests and prizes
About Corpay
Corpay is a global technology organization that is leading the future of commercial payments with a culture of innovation that drives us to constantly create new and better ways to pay. Our specialized payment solutions help businesses control, simplify, and secure payment for fuel, general payables, toll and lodging expenses. Millions of people in over 80 countries around the world use our solutions for their payments.
At Corpay, we are committed to fostering an inclusive and respectful workplace where employees are valued for their diverse perspectives, experiences, and contributions. We believe that diversity, equity, and inclusion strengthen our teams, drive innovation, and support our continued success globally.
As part of our hiring process, offers of employment may be subject to the successful completion of pre-employment screening conducted by an authorized third-party provider, in accordance with applicable laws and Corpay policies. Screening requirements may include employment references, identity verification, criminal record checks, financial or sanctions screening, and other background checks relevant to the role and permitted by local law.
Notice to Recruitment Agencies and Search Firms: Corpay does not accept unsolicited resumes from agencies or search firms without a valid written agreement in place. Any unsolicited candidate submissions will become the property of Corpay, and no fees will be paid related to such submissions.
Learn more about Corpay: https://www.corpay.com
Transparency & Compliance
Equal Opportunity Employer
Corpay is committed to providing equal employment opportunities to all applicants and employees. Employment decisions are made without regard to race, color, religion, sex (including pregnancy), gender, gender identity or expression, sexual orientation, national origin, ancestry, age, disability, marital status, genetic information, military or veteran status, or any other characteristic protected by applicable law. Corpay is committed to fostering an inclusive workplace where individuals are respected and valued for their diverse perspectives, experiences, and contributions. If you require reasonable accommodation during any part of the application or interview process, please notify a representative of the Human Resources Department.
Use of Artificial Intelligence in Hiring
Corpay may use artificial intelligence (AI) and other technology-enabled tools to support certain aspects of the recruitment process, such as application screening, candidate assessment, or interview scheduling. These tools are designed to enhance efficiency, consistency, and fairness throughout the hiring process. AI tools do not make final hiring decisions. All employment decisions involve human review. Corpay is committed to the responsible use of AI, including appropriate oversight and safeguards designed to support fair and unbiased outcomes.
Candidate Privacy Notice
For information about how Corpay processes personal information during the recruitment process, please review our Candidate Privacy Notice: https://www.corpay.com/privacy-policy.
Pay Philosophy
Corpay is committed to fair, equitable, and transparent compensation practices. Compensation decisions are based on objective, job-related factors including skills, experience, qualifications, and market benchmarks. Where required by applicable law, salary or compensation ranges will be included in the job posting or provided prior to the interview process, where required by applicable law. Additional compensation elements such as bonuses, incentives, benefits, or variable pay may apply where applicable.