Product Manager: AI-Driven Loan Servicing & Payments

Kiavi Funding, Inc.

Oregon

Hybrid

USD 140,000 - 200,000

Full time

5 days ago
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Job summary

Kiavi is seeking a Product Manager to own back-office products that move real money across servicing, payments, and data feeds. You will lead end-to-end execution, collaborate with an engineering team, and drive AI-enabled improvements across multiple product lines.

With 2–4 years of PM experience in lending or real estate, you’ll influence roadmap decisions, own integrations, and measure impact using operational metrics.

Qualifications

  • 2–4 years of product management experience.
  • Understanding of lending, real estate and industry dynamics.
  • Comfort working with engineers on integrations and data models.
  • Knowledge of AI concepts and when to apply them.
  • Strong analytical thinking and prioritization.
  • Excellent communication and stakeholder management.

Responsibilities

  • Roadmap and backlog: turn pain points into a prioritized roadmap with a live backlog.
  • Money movement and integrations: partner with Treasury and engineering on bank/payments integrations and data feeds.
  • Operational excellence: triage production issues and turn workarounds into improvements.
  • AI product development: identify where AI adds real value for operations teams.
  • Data and metrics: size problems, model ROI, and track success metrics.
  • Cross-functional leadership: align Servicing, Treasury, Capital Markets, Compliance, and Operations.

Skills

PM experience
Data analysis
Stakeholder management
AI awareness
Autonomy

Education

Technical degree (CS/EE)

Tools

APIs

Job description

Kiavi is seeking a Product Manager to own back-office products that move real money across servicing, payments, and data feeds. You will lead end-to-end execution, collaborate with an engineering team, and drive AI-enabled improvements across multiple product lines.

With 2–4 years of PM experience in lending or real estate, you’ll influence roadmap decisions, own integrations, and measure impact using operational metrics.

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