Principal Product Manager, Experimentation Platform

Responsibilities

• Define and drive the strategy and roadmap for Upstart’s experimentation platform, balancing immediate business needs with a scalable long-term vision.
• Collaborate with Machine Learning, Analytics, and Engineering teams to build shared experimentation capabilities for randomized experiments, model deployments, feature flags, and emerging experimentation patterns.
• Create common abstractions and guardrails that reduce fragmentation, improve experimentation quality, and enable product and engineering teams to test and learn more effectively.
• Establish an experimentation center of excellence by defining standards, improving rigor, and enabling adoption of effective practices across the company.
• Partner with Growth, Servicing, Capital, and other stakeholder teams to understand needs, prioritize opportunities, and drive adoption of shared capabilities.
• Guide experimentation technology and vendor-partnership decisions, evaluating external solutions versus internally developed capabilities.

Requirements

• Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, or a related field, or equivalent practical experience.
• 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 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 supporting Machine Learning or AI workflows, including deployment, measurement, or experimentation.

Nice-to-haves

• Experience building or leading an experimentation platform product within a consumer technology company or experimentation technology provider.
• Knowledge of randomized experiments, feature flags, model experimentation, metric design, and statistical evaluation.
• Ability to connect shared technical capabilities to broader company and product priorities.
• Ability to communicate complex technical and quantitative concepts to engineers, data scientists, and senior leaders.
• Ability to build alignment across multiple product and technical teams and establish shared practices in a distributed organization.

Compensation and benefits

• Anticipated base salary: $187,900–$260,000 USD, varying by geographic compensation region.
• Target bonuses, equity compensation, and annual equity grants.
• Medical, dental, vision, wellness, retirement, paid time off, family and parental leave, financial wellness, and employee assistance benefits.