Sr. Product Manager

We give businesses and their customers peace of mind by solving complex credit challenges with precision, speed, and intelligence, combining deep expertise with advanced technology, to simplify the experience and deliver better outcomes, every time.

We're a fast‑growing fintech empowering enterprise merchants with smarter, more adaptive pay‑over‑time solutions. From point‑of‑sale financing to “Buy Now, Pay Later” programs and loyalty‑integrated offers, we’re building configurable credit tools that help businesses serve more of their customers.

We value teamwork, clarity of purpose, and rigorous attention to data to drive action. We balance speed and excellence to deliver an exceptional customer experience.

We are seeking a Product Manager with a solid background in consumer lending and FinTech to join our dynamic team. In this role, you will own and drive the development of key product initiatives that power our lending platform. This is an in-office position based at our Hudson Yards location.

You will work closely with cross-functional teams—technology (Loan Origination and Servicing Systems), marketing, finance, risk, data science, compliance, and customer operations—to ensure we deliver impactful and user-friendly products.

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  Own the end-to-end product lifecycle: ideation, research, development, testing, launch, and iteration.

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  Define product strategy and roadmap in alignment with company goals and customer needs.

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  Collaborate with stakeholders to gather requirements and translate them into clear, actionable product specs.

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  Prioritize features and maintain a well-groomed product backlog using Jira and related tools.

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  Work closely with engineers and designers to deliver high-quality product experiences on time.

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  Use data-driven insights to evaluate product performance and drive continuous improvements.

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  Ensure compliance with relevant regulatory standards in the consumer lending domain.

• Experience working at a startup or early-stage company.

• Familiarity with risk models, credit scoring systems, or lending APIs.

• Technical proficiency or background in data analytics.