Principal Product Manager, Agentic Platform

Upstart · Fintech · Remote · Product

Principal Product Manager for Upstart's Agentic Platform, responsible for the long-term vision, strategy, and roadmap of the internal AI infrastructure that powers autonomous agents. The role focuses on enabling non-technical users to build, test, and deploy agents safely and efficiently, covering aspects like configuration, evaluation, orchestration, and integration. It requires defining architectural strategy for agentic systems, including RAG and tool usage, and ensuring reliability and compliance in a regulated environment.

What you'd actually do

  1. 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
  2. Own and evolve the platform roadmap, making high-leverage prioritization decisions that balance speed, safety, scalability, and business impact
  3. Lead the development of intuitive, high-quality product experiences that enable non-technical users to build, test, and deploy agents without writing code
  4. Establish best-in-class evaluation, simulation, and safety frameworks to ensure agents are reliable, compliant, and production-ready in a regulated environment
  5. Define the architectural strategy for agentic systems, including orchestration, tool usage, memory, retrieval (RAG), and state management

Skills

Required

  • product management experience, including ownership of complex technical or platform products
  • Strong foundation in machine learning concepts and modern AI systems (e.g., LLMs, RAG, tool-calling, memory)
  • Experience leading cross-functional teams to deliver AI/ML-powered products from concept to production at scale
  • Demonstrated ability to define product strategy and drive alignment across senior stakeholders in ambiguous, fast-moving environments
  • Excellent problem-solving, communication, and organizational leadership skills

Nice to have

  • Background in machine learning engineering or research
  • Experience building and scaling platforms or internal tools used by multiple teams
  • Experience operating in highly regulated industries (e.g., fintech, healthcare), with a strong understanding of compliance and risk considerations
  • Deep familiarity with evaluation frameworks, simulation environments, and model performance measurement
  • Strong product intuition and design sensibility, particularly for tools serving non-technical users
  • Track record of influencing org-level decisions and driving adoption of new platforms or technologies

What the JD emphasized

  • regulated environment
  • compliance
  • safety frameworks
  • evaluation frameworks
  • non-technical users to build, test, and deploy agents

Other signals

  • building internal AI infrastructure
  • democratize AI development
  • platform for non-technical users to build, test, and deploy intelligent agents
  • agent orchestration, tool usage, memory, retrieval (RAG), and state management
  • evaluation, simulation, and safety frameworks
  • regulated environment