AI Product Director

Mulligan Funding, LLC

. Partner with the Chief Credit Officer to translate strategic objectives into detailed product and engineering blueprints for AI initiatives .

Posted 9/21/2026full-timeSan Francisco • California • United StatesLead💰 $250,000 - $350,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in AI product management, integrating financial regulations and model governance into AI solutions while leading cross-functional teams and managing external engineering partners. Proven ability to communicate effectively with senior stakeholders and drive adoption across various business functions.

Highest-signal resume keywords

AI Product ManagementFinancial Regulations IntegrationCross-Functional LeadershipAI Solution DesignStakeholder Communication

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI Solution DesignProduct ManagementModel GovernanceLLM ArchitectureData Science CollaborationProcess Intelligence ExtractionArchitecture Decision ParticipationAcceptance Metrics EstablishmentQuality Control FrameworksConcurrent Initiative Coordination

Soft Skills

Executive PresenceVisionary ThinkingChange ManagementTeam BuildingTrust Building

Tools & Technologies

HITL WorkflowsDeterministic Rule ChecksGolden Dataset BenchmarkingAgentic Orchestration PatternsConfidence-Based Decision Routing

Industry Keywords

FintechLendingCredit-Adjacent ProductsFCRAECOARegulation BAuditability RequirementsModel Explainability StandardsAdverse Action RulesAI Workflows

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

8–12 years in product management
Demonstrated track record of taking AI-enabled solutions from concept to production deployment
Experience contributing to the design of AI solutions and participating in architecture decisions
Strong executive presence and ability to lead cross-functional meetings with senior stakeholders
Prior experience in fintech, lending, or a credit-adjacent product environment strongly preferred
Ability to extract process intelligence from domain SMEs and translate it into AI transformation design briefs
Experience managing specialist external engineering partners through a full build cycle
Ability to coordinate multiple concurrent AI initiatives
Bachelor's Degree in Business, Computer Science, Engineering, Economics, or a related technical discipline is required
Deep familiarity with modern LLM architecture, agentic orchestration patterns, confidence-based decision routing, hallucination mitigation, and golden dataset benchmarking
Working knowledge of FCRA, ECOA, Regulation B, auditability requirements, and model governance in regulated industries
Ability to interview domain experts and uncover undocumented edge cases
Vision and ability to think outside of the box is mandatory
Ability to lead functional heads, engineers, and data scientists with confidence and authority
Ability to manage resistance to change while maintaining end-user trust
Ability to communicate programme health, risks, and trade-offs to executives

Benefits

Comp & perks

Equal Opportunity Employer committed to a diverse work environment
Total compensation may include an annual bonus, as applicable