Staff Product Manager, Cortex

Robinhood Robinhood · Fintech · Menlo Park, CA +1 · Customer Care

Staff Product Manager for Robinhood's consumer-facing AI layer, Cortex. The role involves owning the product roadmap, driving technical direction for AI architecture and model strategy, building and evolving evaluation frameworks for quality, accuracy, and safety, shipping consumer experiences, and navigating the regulatory landscape for financial guidance. The goal is to evolve Cortex from a research assistant to an AI that can reason, plan, and act across investing, spending, and saving.

What you'd actually do

  1. 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
  2. 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
  3. 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
  4. Ship consumer experiences that drive adoption and retention — find the moments where AI creates real value in customers' financial lives and deliver them with craft and speed
  5. Navigate the regulatory landscape — partner with Legal & Compliance to responsibly expand what Cortex can do, from neutral research toward personalized financial guidance

Skills

Required

  • 7+ years of consumer-facing product management
  • 3+ years on AI/ML-powered products
  • Deep fluency in LLM architectures, agentic systems, and retrieval-augmented generation
  • Experience building and evolving evaluation frameworks that measure AI quality, accuracy, and safety at scale
  • Ability to identify high-impact, user-facing improvements across a full AI product experience and ship them iteratively
  • Strong sense of urgency, high ownership, and comfort operating in ambiguity across a fast-moving technical and regulatory landscape
  • Experience shipping AI products in financial services or other regulated industries

Nice to have

  • Familiarity with LLM evaluation and observability tooling
  • Experience with agentic AI systems in production
  • Background in financial advice, portfolio management, or wealth-tech products

What the JD emphasized

  • AI Architecture & Technical Strategy
  • Industry Pace-Setting
  • Evaluation & Continuous Improvement
  • Consumer-Obsessed AI Product Craft
  • Experience shipping AI products in financial services or other regulated industries

Other signals

  • AI-powered financial planning and advice
  • AI that can reason, plan, and act on behalf of customers
  • consumer-facing AI
  • evaluation frameworks at scale
  • regulatory landscape