Staff Product Manager, Cortex
RobinhoodJoin us in building the future of finance.
Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading.
About the Team + Role
Cortex is Robinhood's consumer-facing AI — designed to be the intelligent layer across your entire financial life. Today, Cortex helps millions of customers research investments, analyze their portfolios, and hone their trades through natural conversation. Tomorrow, it will deliver holistic financial planning and personalized advice, becoming the always-on financial partner that every customer deserves but few have ever had access to.
We're looking for a Staff Product Manager to own and drive Cortex forward. You'll lead the evolution from a powerful research assistant to an AI that can reason, plan, and act on behalf of customers — across investing, spending, saving, and beyond. This role demands equal parts technical depth and consumer intuition: you'll shape the AI architecture alongside engineering leaders while obsessing over the experiences that make customers trust and rely on Cortex every day.
This role is based in our Menlo Park, CA or New York City, NY office, with in-person attendance expected at least 3 days per week.
At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams.
What You'll Do
- Own the Cortex product roadmap end-to-end — from improving the core conversational experience today to defining the path toward AI-powered financial planning and advice
- Drive the technical direction alongside engineering leads — making high-conviction decisions on AI architecture, model strategy, and system design that keep Cortex at the frontier of what's possible
- Build and evolve evaluation frameworks at scale — establish the automated quality, accuracy, and safety measurement systems that let the team ship with confidence and improve continuously
- Ship consumer experiences that drive adoption and retention — find the moments where AI creates real value in customers' financial lives and de
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