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Engineering Manager, Agentic AI

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Robinhood

Robinhood helps users invest in stocks, ETFs, options, and cryptocurrencies through commission-free trading with no minimum account requirements.

United States
About Robinhood

Robinhood helps retail investors access financial markets through commission-free trading of stocks, ETFs, options, and cryptocurrencies. With it, users can invest with no account minimums, earn rewards through retirement accounts with matching contributions, and access advanced trading tools. Robinhood democratizes investing by making financial markets accessible to everyone, not just wealthy investors.

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Skills

About the Role

You will lead the charge in developing foundational AI and ML infrastructure. You will oversee the creation of multiple ML and AI models spanning products and internal optimizations. You will guide the engineering organization in producing advanced models and leveraging Large Language Models to create real, scalable products. You will lead, mentor, and scale a high-performing organization of engineers, managers, and applied ML specialists, guide model development and evaluation, partner cross-functionally with product, design, and infrastructure leaders, and establish clear engineering processes to ensure reliable delivery, code quality, and system scalability.

Requirements

  • Proven engineering leadership experience with a track record of supporting performance, hiring top talent, managing managers, and driving organizational development
  • Hands-on experience in Applied Machine Learning, specifically productionizing applications that leverage LLMs and advanced models
  • Deep understanding of ML infrastructure, platforms, and the complexities of deploying AI safely and securely across an enterprise
  • Execution-focused mindset capable of translating complex business and product goals into clear technical milestones and organizational strategy

Responsibilities

  • Lead, mentor, and scale a high-performing organization of engineers, managers, and applied ML specialists
  • Provide technical guidance, regular feedback, and support for career growth
  • Guide model development and evaluation, ensuring AI applications are performant, secure, and ready to serve millions of customers
  • Partner cross-functionally with product, design, infrastructure, and executive leaders to ensure AI platforms meet business needs
  • Establish clear engineering processes to ensure reliable delivery, code quality, and system scalability across multiple teams

Benefits

  • Performance driven compensation with multipliers, bonus programs, equity ownership, and 401(k) matching
  • 100% paid health insurance for employees with 90% coverage for dependents
  • Lifestyle wallet benefits spending account for wellness and learning
  • Employer-paid life and disability insurance
  • Fertility benefits and mental health benefits
  • Company holidays, paid time off, sick time, and parental leave
  • Catered meals, events, and comfortable workspaces