Product Manager

Splash Financial•Only, TN

3d•$100,000 - $145,000•Remote

About The Position

Splash Financial is seeking a Product Manager to oversee lender integrations and optimize the consumer funnel for their personal loan product. This role operates at the intersection of marketplace infrastructure and consumer experience, aiming to enhance approval rates, funded volume, and lender partner satisfaction. The Product Manager will own their domains end-to-end, from strategy and requirements to engineering partnerships and data-driven decision-making, leveraging AI-powered tools to accelerate progress.

Requirements

3–4 years of product management experience, with at least 2 years in fintech, lending, or financial services.
Experience building consumer-facing and/or B2B2C products in a marketplace or platform environment.
Strong technical fluency—comfortable reading API documentation, writing SQL, and partnering with backend engineers on integration work.
Demonstrated ability to own a product area end to end: discovery, requirements, delivery, and iteration.
Data-driven decision-making with experience running experiments, analyzing funnels, and defining success metrics.
Familiarity with credit and lending concepts (underwriting, DTI, credit pulls, lender operations) or ability to ramp quickly.
Proficiency with AI-powered productivity tools (e.g., Claude, ChatGPT, Copilot, Cursor) to accelerate research, analysis, and documentation.

Nice To Haves

Experience with lender or partner integrations (APIs, file-based, co-branded flows).
Background in credit unions, community banking, or lending marketplaces.
Exposure to ML-based underwriting, or credit models.
Experience building or consuming AI/ML features in a product context (not just using AI tools).
Experience with decision engine technologies.

Responsibilities

Own the onboarding of new lender partners to the risk and credit space, from scoping integrations to go-live.
Improve how borrower demand is matched and allocated across lender supply, and manage the integration pipeline cross-functionally.
Build improvements to the customer’s offer experience, prioritizing borrowers.
Run experiments and funnel optimizations, partnering with design on research and A/B testing to improve conversion.
Use AI tools to accelerate workflow, including drafting documents, synthesizing research, analyzing data, and automating repetitive tasks.
Partner with data science to translate model outputs into product experiences optimized for lenders and borrowers.