Engineering Manager, AI Platform & Agentic Apps

About the Team + Role

The AI Platform & Agentic Apps team builds the agent platform behind every AI agent at Robinhood — today giving a growing number of engineers and employees an AI teammate that ships code, queries data, and runs operational workflows on their behalf. We're building toward the same platform powering the agents millions of customers interact with directly, in real time.

As Engineering Manager, you will lead the charge in developing critical infrastructure for Agentic applications spanning Robinhood products. You will guide the engineering organization in leveraging Large Language Models (LLMs) to create real, scalable products that act in the world on behalf of Robinhood's customers and employees. 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. You'll partner closely with Legal, Compliance, and Security to build agents that can be trusted to act in a regulated brokerage environment.

This role is based in our Menlo Park, CA office, with in-person attendance expected 5 days per week.

What You'll Do

• Build and lead the team behind Robinhood's agentic applications — hire and grow strong engineers, and own the roadmap and delivery bar for agents that act for millions of customers and for employees internally.
• Set technical direction on agent orchestration, tool integration, evals, and permissioning for consequential actions — deep enough to change a design, not only approve it.
• Make agents trustworthy enough to act in a regulated brokerage: build eval-gated releases, guardrails and approval flows for money-moving actions, and audit trails alongside Legal, Compliance, and Security.
• Own production reliability for nondeterministic systems running on third-party model providers: SLOs, fallbacks, and incidents driven through to fixed root causes.
• Define and move the metrics that matter — task completion, quality, latency, cost per task — and report progress to leadership in numbers.

What You Bring

• 10+ years managing software engineers, with a record of hiring well, growing people, and shipping products used at scale.
• Hands-on depth in LLM systems — you've shipped tool-calling agents to production and can critique an architecture or eval plan yourself.
• 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.
• Direct, clear communication with engineers, product, and executives; you write well and earn trust across functions.