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engineering

Posted 1 weeks ago

Engineering Manager, Agentic AI

at Robinhood

Menlo Park, United StatesOn-site

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.
  • Guide model development and evaluation, ensuring AI applications are highly performant, secure, and ready to serve millions of customers.
  • Establish clear engineering processes to ensure reliable delivery, code quality, and system scalability across multiple teams. What You Bring
  • 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

Requirements

  • The Artificial Intelligence team is at the forefront of integrating AI into Robinhood’s ecosystem.
  • 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.
  • You will oversee the creation of multiple ML and AI models spanning Robinhood products, and internal optimizations.
  • This role requires a visionary leader with a strong software engineering background, a passion for developer-facing platforms, and deep expertise in applied ML at scale.
  • 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.
  • 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.
  • experience with catered meals, events, and comfortable workspaces

Benefits

  • An estimated $124 trillion of assets will be inherited by younger generations in the next two decades.
  • ● Performance driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching ● Best in class
  • benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents
  • ● 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!
  • 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 compensation zone.
  • For other locations not listed, compensation can be discussed with your recruiter during the interview process. Base Pay Range:
  • Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC) $255,000 — $300,000 USD Zone 3 (Lake Mary, FL; Clearwater, FL; Gainesville, FL) $199,000 — $234,000 USD

Additional details

  • If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading.
  • 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.
  • 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. What You'll do
  • Proven engineering leadership experience, with a track record of supporting performance, hiring top talent, managing managers, and driving organizational development. Hands-on
  • An execution-focused mindset capable of translating complex business and product goals into clear technical milestones and organizational strategy.
  • Our ambitious roadmap requires a great culture shaped by exceptional leaders. Here's what we expect from them:
  • ● Challenging, high-impact work to grow your career
  • Click here to learn more about our Total Rewards, which vary by region and entity.

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