Key skills
Machine learning workflowsModel trainingOnline inferenceFeature managementProduct managementCredit riskCredit underwritingData scienceEconomic concepts related to creditfinancingAnalytical skillsAIMachine LearningAnalyticsAgileLeadershipUser ResearchProduct Management
About this role
Upstart is a leading AI lending marketplace focused on reducing the cost and complexity of borrowing for Americans. The Principal Product Manager will drive core improvements to the pricing decision engine, enhance credit underwriting models, and lead a cross-functional team to improve loan product offerings.
Responsibilities:
- Conduct user research, analyze portfolio performance, and manage stakeholders to drive consensus towards a roadmap for our pricing decision engine
- 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
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
- 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
- Work experience in credit risk and underwriting
- Work experience in machine learning, data science, or analytics
- Demonstrated ability to excel in informal or formal product leadership responsibilities