Principal Product Manager

Role Overview

As a Principal Product Manager, you'll lead product for the team building Yendo's internal AI and automation platforms. Cost-to-serve and AI-driven automation are two of Yendo's superpowers, and you'll own the roadmap that turns them into a durable advantage, serving customers at a fraction of the cost of a traditional lender while making every interaction faster and better for the people on both sides of it.

You'll drive product across a broad surface area: credit card & title operations, fraud, banking platforms, collections, and engineering productivity. You'll thrive in a fast-paced, high-growth environment where things move quickly and can turn on a dime. You'll challenge assumptions, act with urgency, and deliver meaningful results for both our customers and the company.

Responsibilities

• Own and evolve the product vision, strategy, and roadmap for Yendo's AI & ops automation, fraud, and engineering-productivity platforms, balancing big-picture bets with iterative, tactical delivery.
• Use AI to automate operational workflows e2e, lowering cost-to-serve while improving CSAT for the ops teams who use your tools and the cardholders they serve.
• Conduct quantitative and qualitative research with both ops users and cardholders, and define the KPIs that guide prioritization and measure impact.
• Advocate for the user and bring product and customer insights into company-wide business decisions.
• Communicate critical information clearly and foster a transparent, collaborative working environment.

What You’ll Need

• 6+ years of experience in product management in high-growth tech environments.
• Proven ability to lead small, cross-functional teams to deliver measurable results with a bias for action and comfort with ambiguity.
• Strong analytical skills and a knack for turning insights into actionable strategies.
• Exceptional communication skills and the ability to influence stakeholders across all levels of the organization.
• A customer-first mindset with a passion for solving real-world problems.
• AI Product Fluency with daily use of LLMs for analytics, writing, design and prototyping.

Nice-To-Haves

• Domain experience in fintech, consumer apps or AI Automation.
• Expertise in building internal tools for operations or engineering.
• Technical background in software engineering.