Principal Product Manager, Agentic Platform

About Upstart

At Upstart, we’re united by a mission that matters: to radically reduce the cost and complexity of borrowing for all Americans. Every day, we bring creativity, experimentation, and advanced AI to reshape access to credit, helping millions move forward financially with clarity and confidence. As the leading AI lending marketplace, we partner with banks and credit unions to expand access to affordable credit through technology that’s both radically intelligent and deeply human. Our platform runs over one million predictions per borrower using more than 1,800 signals, powering smarter, fairer decisions for millions of customers.

The Team

Upstart’s Agentic Platform team is responsible for building the internal AI infrastructure that powers autonomous agents across the company. These agents support teams spanning Onboarding, Servicing, Fraud, and Operations by automating high-volume workflows and enabling faster, more consistent decision-making. The team’s mission is to democratize AI development across Upstart by creating a platform that allows non-technical users to build, test, and deploy intelligent agents safely and efficiently. This includes developing tools for agent configuration, evaluation, orchestration, and integration with internal systems.

How you'll make an impact

• Set and drive the long-term vision and multi-year strategy for Upstart’s Agentic Platform, establishing it as a foundational capability across the company
• Own and evolve the platform roadmap, making high-leverage prioritization decisions that balance speed, safety, scalability, and business impact
• Lead the development of intuitive, high-quality product experiences that enable non-technical users to build, test, and deploy agents without writing code
• Establish best-in-class evaluation, simulation, and safety frameworks to ensure agents are reliable, compliant, and production-ready in a regulated environment
• Define the architectural strategy for agentic systems, including orchestration, tool usage, memory, retrieval (RAG), and state management
• Drive company-wide adoption by partnering with senior stakeholders across engineering, legal, compliance, and operations to identify opportunities and embed the platform into critical workflows
• Make strategic decisions on model lifecycle management (frontier vs. fin