Engineering Manager

Who you are

• 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
• Our ambitious roadmap requires a great culture shaped by exceptional leaders. Here's what we expect from them:
• 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
• Create community by connecting work to purpose, removing friction while prioritizing safety, building trust and inclusion, and leading from the front with integrity

What the job involves

• We are building an elite team, applying frontier technologies to the world's biggest financial problems
• We're looking for bold thinkers
• Sharp problem-solvers
• Builders who are wired to make an impact
• Robinhood isn't a place for complacency, it's where ambitious people do the best work of their careers
• We're a high-performing, fast-moving team with ethics at the center of everything we do
• Expectations are high, and so are the rewards
• 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
• These agents don't just answer questions; they're designed to take real action across carefully curated meta harnesses
• This is agentic AI at real scale, in a regulated financial environment, and it will change how Robinhood works
• We move fast, raise the bar, and care deeply about building things that matter!
• 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 — driving everything from eval-gated releases to audit trails that hold up under scrutiny
• 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