AI Product Owner

Corpay • Atlanta, GA

19h • Hybrid

About The Position

Corpay is looking for an AI Product Owner to join our team. In this role, the Product Owner for Virtual Fleet Manager will be partnering with Product Management, Engineering, AI Engineers, UX Designers and business stakeholders to rapidly transform customer problems into AI-powered solutions. Rather than managing a traditional Agile backlog, you'll help define product intent, collaborate in AI-assisted design sessions, and guide development from inception through to production grade feature sets using modern AI software development practices. You will help shape how AI changes fleet management—from assisting users with recommendations today to safely automating work tomorrow.

Requirements

• 4–7 years of experience building SaaS software products.
• Experience working closely with software engineering teams throughout the software development lifecycle.
• Strong customer discovery and product thinking skills.
• Excellent written and verbal communication skills with demonstrated ability to write clear, testable requirements.
• Experience making data-informed product decisions.
• Curiosity and enthusiasm for AI technologies and modern software development practices.

Nice To Haves

• Experience delivering AI-powered software products.
• Experience working with Generative AI, LLMs, AI Agents, or conversational interfaces.
• Familiarity with AI Software Development Lifecycle (AI SDLC) concepts.
• Experience creating Intent Documents, product briefs, or lightweight product specifications.
• Experience using AI tools such as ChatGPT, Claude, GitHub Copilot, Cursor, Atlassian Rovo, Kiro, or similar tools in daily product work.
• Experience measuring AI product quality and customer adoption.
• Experience in Fleet Management, Financial Technology, Payments, or B2B SaaS. Familiarity with concepts like rebates, discounts, billing cycles and card networks is a strong plus.

Responsibilities

• Developing a deep understanding of fleet managers, their workflows, and operational challenges.
• Translating customer problems into clear product opportunities and measurable outcomes.
• Continuously validating ideas through customer conversations, prototypes, analytics, and experimentation.
• Balancing customer value, technical feasibility, and business priorities when making product decisions.
• Partnering with AI Engineers to design experiences powered by Large Language Models and intelligent agents.
• Defining AI workflows, recommendations, approval experiences, and autonomous actions.
• Helping establish guardrails, confidence thresholds, and evaluation criteria for AI features.
• Continuously improving AI quality using customer feedback, production metrics, and experimentation.
• Helping determine when AI should recommend an action versus automatically performing it.
• Creating Intent Documents that clearly communicate customer problems, desired outcomes, business context, and success criteria.
• Collaborating with Engineering to refine implementation approaches rather than prescribing detailed requirements.
• Focusing on the "why" and desired customer experience while allowing Engineering flexibility in execution.
• Taking features from intent to build-ready: business rules a QA engineer ca test against, acceptance criteria without ambiguity, and success metrics defined before development begins.
• Using lightweight documentation and rapid feedback rather than extensive specifications.
• Use AI tools throughout product discovery, planning, documentation, analysis, and decision making.
• Leverage AI to accelerate research, synthesize customer feedback, generate requirements, analyze data, and improve communication.
• Collaborate with Engineering teams using AI-assisted development workflows.
• Continuously evaluate new AI tools that improve team productivity and product quality.
• Participating in collaborative design and mobbing sessions with Product, Engineering, UX, and AI teams.
• Making decisions quickly through collaboration rather than formal handoffs.
• Treating AI quality as a product metric. When a conversational feature dead-ends, a task fails, or ignores a user asking for help, find and fix the issue.
• Helping determine when AI should recommend an action versus automatically perform it.
• Supporting rapid iteration as customer learning curve evolves.
• Defining success metrics before development begins.
• Measuring customer adoption, engagement, trust, and business impact.
• Monitoring AI quality and identify opportunities for continuous improvement.
• Partnering with Sales, Marketing, Customer Success, and Support to ensure successful product launches and customer adoption.

Benefits

• Medical, Dental & Vision benefits available the 1st month after hire
• Automatic enrollment into our 401(k) retirement savings plan
• Virtual fitness classes offered company-wide
• Robust PTO offerings including major holidays, vacation, sick, personal, and volunteer time
• Employee discounts with major providers (wireless, gym, car rental, and more)
• Philanthropic support with local and national organizations
• Fun culture with company-wide contests and prizes

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed