Director, Product Management - Auto Finance & Risk Intelligence

The posting, as Hearst wrote it

The Opportunity

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.

Hybrid: This hybrid role is based in our Lawrenceville, Georgia office.

What You’ll Do

• Own the Auto Finance & Risk Intelligence product strategy, roadmap and portfolio prioritization across net-new opportunities and the broader product portfolio.
• Lead customer and market discovery with lenders, captive finance companies, securitization issuers, institutional investors, banks and other automotive finance participants.
• Identify and validate high-value opportunities across automotive finance risk, portfolio analytics, collateral intelligence, valuation decision support and scenario analysis.
• Build product theses and business cases that connect customer value, data feasibility, commercial potential, competitive differentiation and delivery investment.
• Translate customer needs and Jobs to Be Done into clear product outcomes, workflows, prototypes and requirements, leading an AI-first discovery loop that moves from customer conversations to working prototypes, puts those prototypes in front of customers and iterates toward validated product requirements.
• Partner with Product Engineering, Data Science, Residuals, Automotive Valuations and Data Operations to validate feasibility, align on requirements and keep delivery connected to the customer problem.
• Secure early

[…]
diences.

• Demonstrated hands-on experience using AI tools such as Claude Code, Lovable, or comparable tools to rapidly prototype product workflows, learn from customer feedback and iterate toward validated product requirements.
• Willingness and ability to travel, including occasional travel to Canada.

Preferred Qualifications

• Direct experience applying or commercializing vehicle residual values, automotive valuation, lease or loan portfolio analytics, collateral surveillance or remarketing intelligence.
• Experience commercializing API, SaaS, data or analytics products for enterprise customers.
• Experience with pricing and packaging for data or workflow products.
• Existing relationships with automotive lenders, captives, servicers, ABS issuers, investors or related industry participants.

How We Work

• We start with the customer problem and stay close to the customer through launch.
• We treat AI prototypes as a first-class product discovery artifact: build quickly, put them in front of customers, learn what works and iterate before asking Engineering to build enterprise-ready software.
• AI is part of the product development workflow, not a separate experiment. We use it to explore, build, test and communicate while maintaining human judgment, data governance and commercial accountability.
• We value clear decisions, practical collaboration and ownership of outcomes.
• We expect product leaders to work across functions and to make complex work easier for the teams delivering it.

Benefits

As part of Hearst, Black Book offers modern, flexible benefits designed to support you and your family. Benefits include:

• Medical, dental and vision coverage
• 401(k) matching
• Emotional wellness support
• Paid time off
• Paid parental leave
• LGBTQ+ health services
• Additional benefits to meet you and your family’s needs

If you are energized by automotive finance, complex data, customer discovery and building products from 0-to-1, we’d like to talk.