Key skills
Product ManagementBackend PlatformsInfrastructure SystemsTechnical Product RequirementsPricing SystemsService-Oriented ArchitectureMachine LearningData ScienceAIAnalytics
About this role
Upstart is a leading AI lending marketplace focused on reducing the cost and complexity of borrowing for Americans. As a Principal Product Manager, you will define and drive the strategy for the pricing platform that powers loan offers, balancing reliability and innovation across multiple loan products.
Responsibilities:
- Define and execute the long-term vision for Upstart’s pricing platform, enabling scalable and reusable capabilities across multiple loan products
- Improve the reliability, quality, and availability of pricing systems, reducing risk and preventing high-impact failures in a business-critical system
- Drive platform evolution from a complex, monolithic architecture toward modular, service-oriented systems that increase engineering velocity
- Partner with engineering, machine learning, and product teams across unsecured, auto, and home lending to enable new pricing capabilities and use cases
- Balance competing priorities across stakeholders, making principled tradeoffs between short-term business needs and long-term platform investments
- Identify and unlock opportunities to accelerate product development by improving platform primitives and reducing dependency bottlenecks
Requirements:
- BA/BS in Economics, Computer Science, Electrical Engineering, Mathematics, Statistics, a related technical field, or equivalent practical experience
- 5-7 years of product management experience
- Experience building or managing backend platforms or infrastructure systems
- Experience working with engineering teams on large-scale, complex systems
- Experience defining product requirements and driving execution for technical products
- Experience working on pricing systems, ads platforms, or similar optimization systems
- Experience evolving monolithic systems into modular or service-oriented architectures
- Experience working in machine learning, data science, or analytics-driven environments
- Experience operating in highly cross-functional environments with multiple stakeholders