Product Manager - AI Agent Capabilities for Fintech

OnePay Global LLC; Northern (KY); Hybrid; USD 90,000 - 150,000; Full time

Benefits offered by this job

Stock options

Health benefits from Day 1

401(k) plan with company match

Remote-friendly (US)

Job summary

OnePay Global LLC is seeking a Product Manager to grow our AI-powered agent capabilities and ensure a high-quality, compliant user experience in a fast-moving fintech environment. You will translate customer needs into a roadmap, own the strategy, and lead cross-functional work with engineering, design, research, data science, legal, and compliance.

Bring hands-on PM experience with AI products, strong SQL/data skills, and a bias for execution.

Qualifications

• 3-7 years in product management with hands-on ownership of an AI or LLM-powered product.
• Experience building or operating an agent harness or similar system for measuring and improving agent quality.
• Use LLM-based tools daily in your own life and work.
• Move fluidly between strategy, hands-on agent work, and shipping.
• Proficiency in SQL and the habit of pulling your own data.

Responsibilities

• Define the strategy and roadmap for what our agent can do.
• Ship new agent capabilities, and evolve the ones already live as the models improve.
• Own the agent harness and the quality bar behind every response.
• Hold the line on accuracy, compliance, and customer trust in a regulated product.
• Lead cross-functional work across engineering, design, research, data science, legal, compliance, and support.
• Use customer, product, and quality signals to prioritize the roadmap.

Skills

Product management

AI product

Agent harness

SQL

Data-driven

Trust & compliance

High velocity

Proactivity

Job description

OnePay Global LLC is seeking a Product Manager to grow our AI-powered agent capabilities and ensure a high-quality, compliant user experience in a fast-moving fintech environment. You will translate customer needs into a roadmap, own the strategy, and lead cross-functional work with engineering, design, research, data science, legal, and compliance.

Bring hands-on PM experience with AI products, strong SQL/data skills, and a bias for execution.