Robinhood

Robinhood

Engineering Manager, Agentic AI

Menlo Park, CA

Sponsorship not specified$255k-$300kDetected 4 days ago
Machine LearningSparkLLMsAgentic AILeadership

About the role

  • 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.

Responsibilities

  • Lead, mentor, and scale a high-performing organization of engineers, managers, and applied ML specialists, providing technical guidance, regular feedback, and support for career growth.
  • Partner cross-functionally with product, design, infrastructure, and other executive leaders to ensure AI platforms meet the complex needs of Robinhood's diverse business lines.
  • Join us in building the future of finance.
  • As the Engineering Manager you will lead the charge in developing this critical infrastructure.
  • You will guide the engineering organization in producing advanced models and leveraging Large Language Models (LLMs) to create real, scalable products.
  • If our mission energizes you and you're ready to build the future of finance, we look forward to seeing your application.

Requirements

  • Proven engineering leadership experience, with a track record of supporting performance, hiring top talent, managing managers, and driving organizational development.
  • Exceptional office experience with catered meals, events, and comfortable workspaces
  • Hands-on experience in Applied Machine Learning, specifically with productionizing applications that leverage LLMs and advanced models to build real-world products.
  • Deep understanding of ML infrastructure, platforms, and the complexities of deploying AI safely and securely across an enterprise.
  • An execution-focused mindset capable of translating complex business and product goals into clear technical milestones and organizational strategy.
  • 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 integrit
  • What we offer
  • Challenging, high-impact work to grow your career

Compensation

  • $255,000 - $300,000 USD
  • $199,000 - $234,000 USD

Benefits

  • 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!
  • 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.

Company info

  • Guide model development and evaluation, ensuring AI applications are highly performant, secure, and ready to serve millions of customers.
  • Our mission is to democratize finance for all.
  • We are building the foundational AI and ML infrastructure that empowers our product and engineering teams to seamlessly build, deploy, and scale AI-driven features tailored to the needs of our customers.
  • At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community.

Equal opportunity

  • Robinhood provides equal opportunity for all applicants, offers reasonable accommodations upon request, and complies with applicable equal employment and privacy laws.

This listing is sourced directly from Robinhood's careers page and normalized into a canonical job model.