AI Product Manager

Mulligan Funding, LLC

. Lead discovery and design for active AI projects .

Posted 9/21/2026full-timeSan Francisco • California • United StatesMid-LevelSenior💰 $170,000 - $250,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading AI project discovery and design, with a strong focus on process intelligence extraction, design brief authorship, and collaboration with engineering partners. Proficient in managing ambiguity and delivering end-to-end solutions in high-velocity product environments.

Highest-signal resume keywords

AI Product ManagementProcess Intelligence ExtractionDesign Brief AuthorshipStructured Problem-SolvingCollaboration with Engineering Partners

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Product ManagementProcess MappingRequirements DocumentationAI Design and DeploymentQuality Control FrameworksCycle Time AnalysisError Rate AssessmentCost-Benefit AnalysisEdge Case IdentificationSpecification Development

Soft Skills

Trust BuildingAmbiguity ManagementStakeholder CommunicationFeedback FacilitationIterative Review

Tools & Technologies

LLM-Enabled ProductsAI AgentsEngineering Partner Management Tools

Industry Keywords

AI-Enabled ProductsFintechHigh-Velocity Product EnvironmentBusiness Process ReimaginationFunctional Subject Matter Experts

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

3–5 years of experience in product management, product analysis, or a closely related role, with direct exposure to AI-enabled products
Ability to lead structured discovery with domain experts, extract process intelligence, surface undocumented edge cases, and translate findings into clear design briefs
Prior experience at an AI-native fintech, lending company, or high-velocity product environment strongly preferred
Experience authoring process maps, design briefs, requirements documents, or specifications
Ability to manage ambiguity, structure undefined problems, and own a phase of work end-to-end
Experience coordinating with external engineering vendors or technology partners is a plus but not required
Bachelor's Degree in Business, Computer Science, Engineering, Economics, or a related field is required
Working familiarity with LLM-enabled products and AI agents
Ability to discuss AI product design and deployment substantively with engineering partners
Ability to identify when a proposed solution does not match design intent
Process discovery and intelligence extraction skills
Design brief authorship and specification skills
Structured problem-solving skills
Ability to build trust with functional Subject Matter Experts

Benefits

Comp & perks

Base compensation range of $170,000 to $250,000 per year
Annual bonus as applicable
Equal employment opportunity and diverse work environment