Mulligan Funding, LLC

Product Manager

• Lead discovery and design for active AI projects
• Work closely with business teams and manage execution alongside specialist engineering partners
• Conduct structured discovery sessions with functional SMEs to map processes, decision points, pain points, exceptions, volumes, and cycle times
• Establish current-state metrics including cycle times, error rates, manual touchpoints, and cost of failure
• Extract process edge cases, informal workarounds, and undocumented exceptions
• Test design hypotheses with the AI Product Director
• Reimagine business processes from scratch using AI and author detailed solution design briefs
• Define AI capabilities, inputs, outputs, logic, QC frameworks, and engineering acceptance criteria
• Research and identify specialist engineering partners and recommend engagement models
• Produce go/no-go recommendations with current-state baselines, proposed AI designs, partner recommendations, and cost-benefit framing
• Manage specialist engineering partners through build cycles, including reviews, progress tracking, and schedule management
• Review partner deliverables against design briefs and acceptance criteria
• Facilitate iterative review, feedback, and refinement with engineering partners, QC, and functional stakeholders
• Design QC frameworks, evaluation rubrics, golden datasets, accuracy thresholds, human review processes, deterministic checks, and LLM-as-judge rubrics
• Coordinate shadow runs comparing AI output with current processes
• Build end-user adoption plans with functional heads
• Track post-deployment metrics against pre-implementation baselines and surface feedback for model refinement
• Report to the AI Product Director and operate with day-to-day autonomy inside the pod

AI Product Manager

Artificial Intelligence

• Partner with the Chief Credit Officer to translate strategic objectives into detailed product and engineering blueprints for AI initiatives
• Integrate financial regulations, fair lending requirements, adverse action rules, and model explainability standards into AI design briefs
• Conduct discovery with subject matter experts to map and reimagine current processes through AI workflows
• Serve as day-to-day product authority across active initiatives and make technical trade-off decisions within approved frameworks
• Lead interdisciplinary teams across Data Science, Data Engineering, IT infrastructure, and business functions
• Build, coach, and manage a team of Junior AI Product Managers
• Act as primary product interface for external engineering vendors and evaluate architecture proposals and technical deliverables
• Establish acceptance metrics, output tests, QC frameworks, HITL workflows, deterministic rule checks, and LLM-as-judge evaluations
• Collaborate with Data Science leads on evaluation rubrics, golden datasets, and accuracy thresholds
• Build stakeholder trust across Sales, Credit, Operations, and Finance to drive adoption
• Communicate programme metrics, delivery risks, and strategic trade-offs to business leaders and executives
• Oversee product authority, technical execution, and operational delivery across concurrent AI projects
• Report directly to the Chief Credit Officer