Job Description

About the Role:

Automotive lenders, captive finance companies, securitization issuers, and investors need a timely, explainable view of how vehicle values are changing across vehicle loan and lease portfolios and the securities backed by that collateral. Black Book already has a strong, differentiated position in automotive valuation and residual intelligence. It observes wholesale outcomes every day and combines that independent market view with proprietary vehicle valuation, predictive analytics, and deep automotive knowledge. This role will turn that advantage into products that help customers identify risk and make better financial decisions.

Black Book is looking for a hands-on, AI-first product leader to grow our Auto Finance & Risk Intelligence product portfolio. This person will use AI throughout the product lifecycle, not only to accelerate research and documentation, but to turn customer conversations into working prototypes, test and refine them with customers, and translate validated learning into clear product direction for Engineering to build into enterprise-ready products that customers understand, adopt, and pay for.

You will own product strategy for Auto Finance & Risk Intelligence, serving lenders and captive finance companies, securitization issuers, institutional investors, and banks, while working closely with Data Science, Residuals, Automotive Valuations, Data Operations, Product Engineering, Sales, and other Black Book teams. Your priority will be building and validating a net-new product for automotive finance risk and valuation workflows, from customer discovery through a sellable product, while managing the existing Auto Finance portfolio.

This is an AI-first product-building role, not a backlog-administration role. We are looking for a product leader who can move from a live customer conversation to an AI-built prototype quickly, use that prototype to learn and validate, and then hand product direction to Engineering for enterprise implementation. You will also make hard prioritization decisions, including what not to build, and take ownership from opportunity through launch and measurable performance.