Principal Product Manager, Upstart

• 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
• Knowledge of machine learning workflows (e.g. model training, online inference, feature management, etc.)
• Experience working with a machine learning team to ship models into production
• Demonstrated ability to achieve strategic goals in an innovative and fast-paced environment, and to evolve product strategy based on research, data and industry trends; excellent problem-solving, organizational and analytical skills
• Passion and aptitude for credit and financing-related economic concepts

Desirable

• Upstart’s Underwriting team is composed of Machine Learning research scientists, data scientists, and software engineers, on a mission to improve the accuracy of our credit risk and underwriting models, with a focus on our flagship product (Personal Loans) and building the platform to unlock innovation in other product lines
• This team advances our ML innovation engine and brings new research ideas, across model innovations and new data sources, into the hands of our end consumers, thereby delivering the best rates for all
• As the Principal Product Manager, Underwriting at Upstart, you will ship core improvements to our machine learning models, with a focus on credit risk and underwriting
• You will drive the strategic direction and day-to-day execution of a cross-functional technical team of research scientists, data scientists, and software engineers that ship model improvements for our flagship Personal Loans product
• You will own and manage key vendor relationships with external data sources leveraged by our machine learning team and build a roadmap to expand and diversify those data sources as we pursue our mission of best rates for all
• Conduct user research, analyze portfolio performance, and manage stakeholders to drive consensus towards a roadmap for our credit underwriting models
• Identify new opportunities to improve the accuracy and speed of credit underwriting decisions
• Write detailed requirements; manage agile processes to ensure consistent execution and accurate timelines across engineering and machine learning teams
• Make smart trade-offs to inform the ongoing product roadmap, prioritizing the features with the highest ROI and experimenting when necessary
• Deliver improved credit performance for our lending partners and investors while advocating for an excellent customer experience
• Demonstrate and encourage best practices in product management by working with other PMs throughout the company