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Principal Product Manager, Agentic Platform

Job in Hamilton, Butler County, Ohio, 45011, USA
Listing for: Upstart
Full Time position
Listed on 2026-05-30
Job specializations:
  • Software Development
    Software Engineer, AI Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

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. But the numbers only hint at the impact. Every idea, every voice, and every contribution moves us closer to a world where credit never stands between people and their financial progress.

We’re proudly digital-first, giving most Upstarters the flexibility to do their best work from wherever they thrive, alongside teammates across 80+ cities in the US and Canada. Digital-first doesn’t mean distant. We’re intentional about in-person connection through team onsites, planning sessions, and moments that spark creativity and trust. And whether you choose to work primarily from home or collaborate in-person from one of our offices in Columbus, Austin, the Bay Area, or New York City (opening Summer 2026), you’ll have the support to work in the way that works best for you.

If you’re energized by tackling meaningful problems, excited to innovate with purpose, and motivated by work that truly matters, we’d love to hear from you.

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.

As a Principal Product Manager, you will own the long‑term vision and strategy for this platform—defining how AI agents are built, governed, and scaled across Upstart. You will operate as a cross‑functional leader, aligning engineering, research, legal, compliance, and operations teams around a shared roadmap and driving adoption of the platform across the company.

This would be a good fit for someone who has an experience as an ML Researcher/Engineer who made the transition into Product Management.

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. fine‑tuned/distilled), optimizing for cost, latency, and performance at scale
  • Define and standardize human‑in‑the‑loop patterns, ensuring seamless and auditable transitions between agents and human operators
  • Translate complex AI and system design concepts into clear, actionable direction for both technical and non‑technical stakeholders
  • Raise the bar for product management across the organization by mentoring other PMs…
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