Principal Product Manager, Experimentation Platform

Upstart is an AI lending marketplace focused on reducing the cost and complexity of borrowing. The Principal Product Manager will lead the strategy and roadmap for the experimentation platform, develop shared capabilities and guardrails, establish experimentation standards, and drive adoption across product and technical teams.

Responsibilities:

• Define and drive the strategy and roadmap for Upstart’s experimentation platform, balancing immediate business needs with a scalable, long-term platform vision supportive of agentic products
• Collaborate with Machine Learning, Analytics, and Engineering to build shared experimentation capabilities, including approaches for randomized experiments, model deployments, feature flags, and other emerging patterns
• Create common abstractions and guardrails that reduce fragmentation, improve experimentation quality, and make it easier for product and engineering teams to test and learn
• Establish a center of excellence for experimentation by defining standards, improving functional rigor, and enabling teams across Upstart to adopt effective experimentation practices
• Partner with stakeholder teams across Growth, Servicing, Capital, and Upstart’s broader organization to understand needs, prioritize opportunities, and drive adoption of shared capabilities
• Guide Upstart’s approach to experimentation technology and vendor partnerships, evaluating where external solutions and internally developed capabilities best support the platform strategy

Requirements:

• Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or a related field (or equivalent practical experience) and 7+ years of product management experience
• Experience owning strategy and roadmaps for technically complex software, platform, infrastructure, data, or developer-facing products
• Experience partnering with engineering, data science, Machine Learning, or Analytics teams on technical product architecture, tradeoffs, and delivery
• Experience applying quantitative methods, including statistics, experimentation, analytics, or data science, to product development and decision-making
• Experience developing platforms that support Machine Learning or AI workflows, including deployment, measurement, or experimentation
• Time zone requirements The team operates on the East/West coast time zones
• Experience building or leading an experimentation platform product, either within a consumer technology company or at an experimentation technology provider
• Knowledge of experimentation methodologies, including randomized experiments, feature flags, model experimentation, metric design, and statistical evaluation
• Ability to develop platform strategies that connect shared technical capabilities to broader company and product priorities
• Ability to communicate complex technical and quantitative concepts to audiences ranging from engineers and data scientists to senior leaders
• Ability to build alignment across multiple product and technical teams and establish shared practices in a distributed organization