Principal Product Manager, Agentic Platform Full Time

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 and influencing best practice

Minimum Qualifications 

• BA/BS in Computer Science, Engineering, Mathematics, or a related technical field, or equivalent practical experience
• 8+ years of 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

Preferred Qualifications

• Background in machine learning engineering or research (either through direct work experience or close partnership with ML teams)
• 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