Engineering Manager (AI Platform & Agentic Apps)

Join Robinhood as an Engineering Manager for the AI Platform & Agentic Apps team. In this role, you will lead the development of critical infrastructure for agentic applications, leveraging Large Language Models (LLMs) to create scalable products that act on behalf of Robinhood's customers and employees. You will partner closely with Legal, Compliance, and Security to ensure the trustworthiness of the agents in a regulated brokerage environment. Additionally, you will own the roadmap and delivery for agents that impact millions of customers and internal employees.

- Lead the development of critical infrastructure for Agentic applications across Robinhood products, guiding the engineering organization in leveraging Large Language Models (LLMs). - Build and lead the team behind Robinhood's agentic applications, hiring and growing strong engineers, and owning the roadmap and delivery bar for agents that act for millions of customers. - Partner closely with Legal, Compliance, and Security to build agents that can be trusted to act in a regulated brokerage environment, driving everything from eval-gated releases to audit trails.

- Experience running consumer-scale production services: SLOs, on-call, and dependencies you don't control - Direct, clear communication with engineers, product, and executives; you write well and earn trust across functions - Judgment in ambiguous, fast-moving spaces — you turn conflicting input into a focused roadmap with measurable goals, and cut scope to hit them - Hands-on depth in LLM systems — you've shipped tool-calling agents to production and can critique an architecture or eval plan yourself - 10+ years managing software engineers, with a record of hiring well, growing people, and shipping products used at scale - Our ambitious roadmap requires a great culture shaped by exceptional leaders. Here's what we expect from them: - Create community by connecting work to purpose, removing friction while prioritizing safety, building trust and inclusion, and leading from the front with integrity - Drive high performance by setting clear, focused goals, giving real-time feedback, stretching top talent, and scaling impact through focus, innovation, and tech - Hire and retain top talent by setting a high bar, hiring only those who raise it, investing in onboarding, and addressing talent issues quickly and fairly - This role calls for a visionary leader with a strong software engineering background, a passion for developing platforms, and deep expertise in applied ML at scale