Engineering Manager, Agentic

Robinhood; Menlo Park (CA); On-site; USD 255,000 - 300,000; Full time

Benefits offered by this job

Health insurance

Equity ownership

401(k) matching

Catered meals & events

Job summary

Robinhood is seeking an Engineering Manager for the AI Platform & Agentic Apps team in Menlo Park, CA. You will lead critical infrastructure for agentic applications, guide LLM-powered platforms, and partner with Legal, Compliance, and Security to ensure trusted, auditable agent actions.

You will shape team culture, grow engineers, and drive a scalable roadmap for complex, regulated finance products with a focus on safety and impact.

Qualifications

• 10+ years managing software engineers and shipping products at scale.
• Hands-on depth in LLM systems and production tooling.
• Experience running consumer-scale services with SLOs and on-call.
• Judgment in ambiguous, fast-changing spaces with measurable goals.
• Direct, clear communication across engineers, product, and execs.

Responsibilities

• Lead the team behind Robinhood's agentic applications and own the roadmap for agents.
• Set technical direction on agent orchestration, tool integration, evals, and permissioning.
• Ensure agents are trustworthy in a regulated brokerage with audit trails.
• Own production reliability for nondeterministic systems with proper incident handling.
• Define and report metrics to leadership with clear progress indicators.

Skills

LLM systems

People management

Production services

Roadmap execution

Communication

Job description

Join us in building the future of finance.

Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading.

ABOUT THE TEAM + ROLE

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.

We 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. These are 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.

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

At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams.

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.

LEADERSHIP EXPECTATIONS

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 WE OFFER

• Challenging, high-impact work to grow your career
• Performance driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching
• Top Tier benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents
• Access to the Robinhood Employee Fund that gives eligible US employees the opportunity to invest in a private employee fund that provides exposure to Robinhood Ventures funds.
• Access to the best AI tools on the market and continuous AI skill-building for every employee, technical or not.
• Lifestyle wallet - a highly flexible benefits spending account for wellness, learning, and more
• Employer-paid life & disability insurance, fertility benefits, and mental health benefits
• Time off to recharge including company holidays, paid time off, sick time, parental leave, and more!
• Exceptional office experience with catered meals, events, and comfortable workspaces.

In addition to the base pay range listed below, this role is also eligible for bonus opportunities + equity + benefits.

Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected base pay range for this role is based on the location where the work will be performed and is aligned to one of 3 compensation zones. For other locations not listed, compensation can be discussed with your recruiter during the interview process.

Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC) $255,000 - $300,000 USD

Zone 2 (Denver, CO; Westlake, TX; Chicago, IL) $1 - $1 USD

Zone 3 (Lake Mary, FL; Clearwater, FL; Gainesville, FL) $199,000 - $234,000 USD

AI Usage Disclosure

Robinhood uses artificial intelligence (AI) tools to support parts of our recruiting process. These tools enhance the efficiency and consistency of our hiring process; however, all hiring decisions are made by our hiring teams.

Robinhood provides equal opportunity for all applicants, offers reasonable accommodations upon request, and complies with applicable equal employment and privacy laws. Inclusion is built into how we hire and work—welcoming different backgrounds, perspectives, and experiences so everyone can do their best. Please review the Privacy Policy for your country of application.