Mission Lane is a purpose-driven fintech company based in Richmond, Virginia, dedicated to improving access to credit for millions of people. They are seeking mission-driven product thinkers to join their Product Team at various levels, focusing on creating a credit card product experience that empowers customers and transforms how data and technology are utilized.
Responsibilities:
- Own high-stakes decision systems, translating complex credit policy and data into real-time actions that determine how and when we extend credit
- Design for judgment and scale, ensuring our automated systems and human-in-the-loop processes work in harmony to surface risk without disrupting legitimate customers
- Partner closely with Engineering, Data, and Credit teams to operationalize complex underwriting or payment models that balance business unit economics with customer success
- Leverage SQL and data analytics to break down high-level metrics into the underlying drivers that move the needle for both the company and the consumer
- Act as a collaborative disruptor, iterating rapidly to launch experiments that improve our acquisition "brain" or post-acquisition journeys
- Drive alignment across the organization by crafting clear narratives and roadmaps that show how technical choices lead to better outcomes
- Proactively identify potential friction points across teams and functions, advocating for solutions that prioritize the long-term health of our customer base
Requirements:
- ~3+ years (PM), ~5+ years (Senior), or ~8+ years (Principal) of product management experience, managing technical products from ideation to rollout
- Technical proficiency and the ability to engage in deep conversations with engineers regarding system architecture, APIs, and data implementations
- Proficiency using SQL to query data, investigate decision logs, and analyze performance funnels
- A proven track record of delivering complex projects in regulated or data-heavy environments
- A structured problem-solving approach and the ability to make independent decisions in ambiguous, high-stakes situations
- Experience defining roadmaps that optimize for both enterprise value and customer well-being
- Experience in fintech, lending, or payments, particularly in roles involving risk, fraud, or customer lifecycle management
- Experience integrating AI or machine learning models into live products to drive efficiency or better decisioning
- Experience in high-growth environments where the product experience is the primary driver of customer acquisition and retention