Robinhood
Fintech · Retail trading
- HQ
- Palo Alto, US
- Founded
- 2013
- Website
- robinhood.com
Fintech · Retail trading
Robinhood currently has 11 active job listings for AI-related roles. The company is primarily hiring for roles focused on agents and serving infrastructure, each representing 36% of the open positions. Engineering is the dominant function, with 10 of the 11 roles listed. Frequent tech tags include model serving, fine-tuning, and inference infrastructure, suggesting a focus on deploying and optimizing AI models. Over the last 30 days, Robinhood has added 7 new AI roles, a 133% increase compared to the previous 30-day period.
Currently tracking 7 active AI roles, up 85% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $118k–$350k (avg $228k).
Robinhood currently has 12 active AI-related roles in our index. The most common open titles are: Software Engineer (2), Machine Learning Engineer, Manager of Response, Automation, Intelligence & Detection Engineering, Privacy Engineer, Senior Software Engineer. Most positions are in Engineering and Product.
Robinhood's active AI hiring is concentrated in: agents (42%), serving infrastructure (33%), application (17%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Robinhood is hiring AI talent in: United States (7 roles), Canada (2 roles).
Job postings at Robinhood most frequently mention: Machine Learning, Testing Practices, Technical Documentation, Software Engineering, Real-Time Systems.
In the past 30 days, Robinhood has posted 7 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Staff Product Manager, Cortex 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. | AgentEval Gate | 8 |