Engineering Manager (AI Platform & Agentic Apps)

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, guiding the engineering organization in leveraging Large Language Models (LLMs) to create scalable products. You will partner closely with Legal, Compliance, and Security to build trusted agents in a regulated brokerage environment. Additionally, you will own the roadmap and delivery for agents that act on behalf of millions of customers and employees. This position requires a visionary leader with a strong software engineering background and deep expertise in applied ML at scale.

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.

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

About Robinhood

• 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

Responsibilities

• Direct, clear communication with engineers, product, and executives; you write well and earn trust across functions
• Drive high performance by setting clear, focused goals, giving real-time feedback, stretching top talent, and scaling impact through focus, innovation, and tech

Requirements

• Experience running consumer-scale production services: SLOs, on-call, and dependencies you don't control
• 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

Pay

• 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
• USD 255,000 - 300,000