Principal Product Manager, Upstart

• 6+ years of product management experience with customer data platforms, personalization systems, or machine learning-powered products
• Strong track record of partnering with engineering and data science teams to build and scale data-driven platforms or recommendation systems
• Ability to manage and influence stakeholders across marketing, product, and engineering, balancing technical complexity with business impact

Desirable

• Upstart's Growth team is dedicated to creating a seamless product experience that allows customers to effortlessly discover and access Upstart’s credit products
• By building exceptional, customer-centric experiences, this team plays a crucial role in making Upstart the premier destination for consumer credit, driving growth and unifying Upstart’s product portfolio into a cohesive, multi-product marketplace
• As Senior Product Manager, Growth Data & Personalization, you will own the strategy and execution of our data platform, recommendation systems, and personalization engines
• You’ll ensure that Upstart delivers the right product, offer, and message to the right customer at the right time — across in-product experiences and marketing channels
• You’ll collaborate with data science, engineering, marketing, and product teams to transform customer data into differentiated, high-value experiences that improve engagement and growth outcomes
• Lead strategy for our growth data platform, ensuring data pipelines, models, and systems are built to deliver real-time, scalable personalization across channels
• Own the roadmap for recommendation and personalization engines, from offer ranking to content targeting, optimizing for both customer value and business growth
• Partner with data science to design, test, and operationalize machine learning models that improve acquisition, cross-sell, and retention
• Collaborate with marketing, product, and design to activate personalization consistently across customer touchpoints — email, push, landing pages, app, and in-product modules
• Define and track success metrics, balancing model performance, experimentation velocity, compliance, and customer trust