Senior Engineering Manager, AI

About The Team + Role

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.

As the Senior Engineering Manager, AI, you will lead the charge in developing this critical infrastructure. You will oversee the creation of multiple ML and AI. models spanning Robinhood products, and internal optimizations. You will guide the engineering organization in producing advanced models and leveraging Large Language Models (LLMs) to create real, scalable products. 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.

This role is based in our Menlo Park, CA or Bellevue, WA 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

• 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.
• 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.
• Establish clear engineering processes to ensure reliable delivery, code quality, and system scalability across multiple teams.

What You Bring

• 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 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 integrity.