Jobs at Robinhood

Leads growth product strategy for web funnels, SEO landing pages, acquisition experiences, subscription services, and cross-sell programs. Partners with engineering, design, and marketing to improve conversion and retention through attribution tracking, funnel analytics, and zero-to-one product development. The role requires ownership of digital acquisition journeys and data-driven optimization across premium customer segments.

Lead visual design for Robinhood’s product experiences, shaping its design language across icons, color, typography, UI components, and scalable systems. Collaborate with designers, engineers, and product managers on high-impact launches, evolve an AI-ready design system, advocate for design excellence, and mentor through critiques and shared best practices.

Build and operate enterprise AI infrastructure, including LLM integrations, automation, observability, deployment pipelines, agentic workflows, vector databases, and RAG systems. Troubleshoot complex production issues, optimize reliability, performance, token usage, and costs, and develop scalable self-service tooling. Partner with engineering, product, business systems, and AI strategy teams to improve internal AI capabilities.

Lead and execute red team exercises and penetration tests across applications, infrastructure, and physical environments. Mentor teammates, develop automation tools, partner with detection/response teams, prioritize and drive remediation, and conduct adversarial simulations to improve detection and incident readiness.

Build and operate a scalable AI security platform, including infrastructure, APIs, SDKs, distributed systems, and security primitives. Design identity, authentication, authorization, encryption, data protection, and AI-agent safety controls. Partner with security and engineering teams to create reusable platform capabilities, improve reliability and developer experience, and shape the architecture of Robinhood’s AI Security platform.

Build software for AWS capacity planning, cost optimization, and closed-loop infrastructure automation across Aurora, RDS, S3, caches, DynamoDB, and EBS. Develop forecasting, rightsizing, progressive rollout, and rollback systems that scale storage and databases to demand while maintaining reliability and controlling costs. Partner with infrastructure, finance, and engineering teams to measure savings, utilization, forecast accuracy, and capacity efficiency.

Build a scalable AI security platform, foundational services, APIs, SDKs, and guardrails for AI-powered security agents. Design secure, reliable distributed systems incorporating identity, authentication, authorization, encryption, and data protection. Partner with security and engineering teams to deliver reusable platform capabilities, improve performance and developer experience, and shape the platform’s technical architecture. The role requires hands-on software engineering experience with AI platforms, cloud-native infrastructure, and large-scale systems.

Build and lead development of a scalable AI security platform, including foundational services, APIs, libraries, SDKs, and guardrails for AI-powered security capabilities. Design secure, reliable distributed systems with identity, authentication, authorization, encryption, and data protection controls. Partner across security and engineering teams, improve platform performance and developer experience, and guide the architecture and technical direction of the platform.

Lead security incident responses, build and maintain detection engineering frameworks across cloud and Kubernetes environments, and architect AI-driven Autonomic Security Operations capabilities. The role involves analyzing multi-language codebases, identifying vulnerabilities, tuning detection pipelines, developing SOAR playbooks, communicating with executives during high-pressure incidents, and participating in a weekly on-call rotation.

Leads red team operations, penetration testing, threat modeling, and adversarial simulations across applications, infrastructure, corporate, and physical environments. Develops security-testing tools, partners with detection and response teams, communicates and remediates findings, leads related incidents, and mentors offensive security engineers. The role requires advanced knowledge of cloud, containers, defensive evasion, identity security, network protocols, and MITRE ATT&CK, along with Python, Go, and JavaScript proficiency.

As a Staff Software Engineer on the Storage Platform team, you will design distributed storage systems, improve database reliability and performance, build automation for database management, and ensure high availability for user-facing products.

Lead design and delivery of people analytics products using predictive models and language models. Build unified workforce data models, semantic layers, governance, continuous listening & survey frameworks, and enforce experimental and psychometric rigor to inform talent, retention, and team-performance decisions.

Build and operate core storage infrastructure powering database access: implement connection pooling, query routing, automation, and observability; improve reliability, performance, and operational tooling for relational, key-value, and caching systems; diagnose and resolve production incidents; and contribute to secure database connectivity standards.