Senior Engineering Manager for the Agentic AI team at Robinhood, focusing on building foundational agentic platforms and applications, including LLM Gateways, memory, evaluation frameworks, and autonomous customer support systems. The role involves leading and scaling a team of engineers and applied ML specialists, guiding model development and evaluation, and partnering cross-functionally to deliver AI-native fintech products.

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.

Robinhood is seeking a Senior Security Engineer to lead the transformation of vulnerability management using AI and agentic systems. The role involves architecting automated defense systems that use AI agents to triage findings, correlate threat intelligence, and generate remediations. The engineer will also build systems to model blast radius, automate triage, and create LLM-powered dashboards for security insights. Experience with AI/agentic systems, security engineering, and modern infrastructure is required.

Senior Security Engineer focused on AI Vulnerability Management. The role involves architecting and deploying AI agents for automated security tasks like vulnerability triage, threat intelligence correlation, and remediation generation. It also includes building systems to model exploitability, creating automated security guardrails, and developing LLM-powered dashboards for security insights. The goal is to create a self-scaling, intelligence-driven defense system.

Robinhood is seeking a Senior Machine Learning Engineer for their Agentic team to build and ship production AI agents for financial products. The role involves developing evaluation harnesses, feedback pipelines, implementing optimization techniques (DPO, PPO, reward modeling), launching fine-tuned models in production, and collaborating with research teams on agentic reasoning, planning, and tool use.

Robinhood is seeking a Senior Software Developer for their Ops Platform and Fraud Investigations team. This role involves designing and building internal platforms that replace manual processes with AI-driven systems to support areas like Fraud Operations and Account Operations. The developer will work with large datasets and signals to create tooling for fraud detection and investigation, collaborate with data scientists and ML engineers to automate manual processes, and design/develop AI-based applications to improve operational speed and accuracy. The focus is on improving system reliability, reducing operational effort, and increasing the speed of new feature support.

Software Developer role focused on building internal platforms that replace manual processes with AI-driven systems for fraud investigations and other operational teams. The role involves designing and developing scalable systems, automating manual review processes, and developing AI-based applications to improve operational workflows. Collaboration with data scientists and ML engineers is key, as is owning complex technical problems end-to-end.

Robinhood is seeking a Senior Full Stack Software Engineer for their Agentic Apps team, focusing on Corporate Engineering and Business Systems. The role involves designing and building AI-powered internal applications and agents using LLMs and agentic systems. The engineer will work across frontend, backend, and AI orchestration layers to deliver user-friendly tools that improve internal workflows and contribute to broader AI initiatives. This is a product-driven role, not focused on research or model development, aiming to make agentic AI practical and production-ready.

Robinhood is seeking a People Systems Manager to lead the design, development, and operation of their HR technology ecosystem, with a focus on Workday. This role involves hands-on technical management, including system configuration, integrations, and architecture. A key aspect is applying AI tools and automation to reduce manual HR processes, improve data accuracy, and enhance employee support, with an emphasis on building AI-powered automations and agents, and establishing an AI-first roadmap.