Quantitative Product Manager

About Slate At Slate, we’re building safe, reliable vehicles that people can afford, personalize and love—and doing it here in the USA as part of our commitment to reindustrialization. The spirit of DIY and customization runs throughout every element of a Slate, because people should have control over how their trucks look, feel, and represent them. Who We Are Looking For We are seeking a data-driven, strategic, and execution-oriented Quantitative Product Manager (QPM) to plan, track, and optimize Slate’s auto loan and lease origination process in partnership with a third‑party lender. This role sits at the intersection of product, data science, credit risk, and operations, and is critical to driving profitable growth and customer satisfaction in our financial services offerings. What You Get To Do Product Strategy & Roadmap: Define goals for Slate’s auto loan and lease originations. Align business goals with regulatory requirements and partner capabilities. Quantitative Analysis & Modeling: Analyze funnel performance, approval rates, and funding metrics to identify optimization opportunities and drive continuous improvement. Use A/B testing and statistical methods to optimize profitability by varying pricing and attach rates. Lender & Partner Integration: Serve as the product lead for lender integrations, ensuring seamless data exchange, underwriting logic, and compliance alignment. Product Development & Execution: Work closely with engineering, design, and operations to deliver product and pricing changes on time. Help prioritize backlog based on impact, effort, and strategic considerations. Performance Monitoring & Reporting: Define and track KPIs such as approval rates, take rates, funding rates, and NPS. Build dashboards and reporting tools to monitor health and inform decision‑making. What You Bring To The Team 10+ years of experience in product management, analytics, or a quantitative role, ideally in automotive financial services. Strong understanding of consumer lending, credit risk, and financial product lifecycle. Strong statistical literacy and ability to think probabilistically. Proficiency in Excel and data visualization tools (e.g., Tableau, Looker). Experience working with data science teams and interpreting model outputs. Excellent communication and stakeholder management skills. Bachelor’s degree (Master preferred). Why Join Team Slate? Safety First Delight Customers One Team Relentless Improvement Fast, Frugal, and Scrappy Respectful Collaboration Positive Legacy Equal Employment Opportunity Slate is a proud Equal Employment Opportunity and affirmative action employer. We do not discriminate based upon race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, marital status, parental status, cultural background, organizational level, work styles, tenure and life experiences. Slate is committed to providing reasonable accommodation for qualified individuals with disabilities in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at View email address on click.appcast.io. #J-18808-Ljbffr Slate Auto