AI Product Manager

About The Company Our client is a growth-stage financial services company modernizing a traditional, data-driven lending business with AI. The organization has moved well past the experimental phase — production-grade AI agents are already live in core risk and decisioning workflows — and it is now extending that same AI-first approach into additional areas of the business as part of a broader enterprise transformation. Job Title: AI Product Manager Location: SF Bay Area About The Company Our client is a growth-stage financial services company modernizing a traditional, data-driven lending business with AI. The organization has moved well past the experimental phase — production-grade AI agents are already live in core risk and decisioning workflows — and it is now extending that same AI-first approach into additional areas of the business as part of a broader enterprise transformation. Job Summary We are hiring an AI Product Manager to embed directly inside one of our client's core AI initiatives. In this hands-on role, you will lead discovery and design for active AI projects, work shoulder-to-shoulder with business teams, and manage execution alongside specialist engineering partners. Reporting to the AI Product Director, you will operate with high day-to-day autonomy inside your pod. This position is ideal for an early-career product manager looking to build deep AI expertise fast. Key Responsibilities Current State Discovery & Process Intelligence: Lead structured discovery sessions with functional Subject Matter Experts to map current processes in full — every step, decision point, pain point, exception case, and cycle time. AI Solution Design & Brief Authorship: Translate current-state intelligence into an AI transformation design brief that reimagines the process from scratch, and author the detailed solution design brief in collaboration with the AI Product Director. Engineering Partner Management: Manage the working relationship with the specialist engineering partner through the build cycle, reviewing outputs against the design brief and escalating gaps early. QC Framework & Evaluation Support: Design the QC framework for the pod's use case, collaborating with the pod's data science lead to establish evaluation rubrics, golden datasets, and accuracy thresholds. Go-Live & End-User Adoption: Coordinate the shadow-run period, build the end-user adoption plan with the functional head, and track post-deployment metrics against baseline. Requirements Education Bachelor's degree in Business, Computer Science, Engineering, Economics, or a related field required; Master's degree a plus but evaluated secondary to demonstrated product delivery experience. Experience 3–5 years of experience in product management, product analysis, or a closely related role, with direct exposure to AI-enabled products. Prior experience at an AI-native fintech, lending company, or high-velocity product environment strongly preferred. Technical Skills AI product fluency: working familiarity with how LLM-enabled products and AI agents are designed and deployed (credit or lending domain expertise not required) Process discovery & intelligence extraction: drawing out precise process knowledge from functional SMEs who have never mapped their workflow before Design brief authorship: translating discovery findings into a clear, buildable specification that others can build to without clarification Certifications None required. Other Comfortable managing ambiguity and structuring undefined problems without waiting for direction; ability to own a phase of work end-to-end. Preferred Qualifications Experience coordinating with external engineering vendors or technology partners Experience authoring clear written product artifacts (process maps, design briefs, requirements documents) Benefits Compensation and benefits details will be shared directly with candidates as they progress through the interview process. #J-18808-Ljbffr