Senior Engineering Manager, Agentic AI

Robinhood Robinhood · Fintech · Bellevue, WA +1 · ENG Data and AI Platform Division

Senior Engineering Manager for the Agentic AI team at Robinhood, focusing on building foundational agentic platforms and applications, including LLM Gateways, memory, evaluation frameworks, and autonomous customer support systems. The role involves leading and scaling a team of engineers and applied ML specialists, guiding model development and evaluation, and partnering cross-functionally to deliver AI-native fintech products.

What you'd actually do

  1. 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.
  2. Guide model development and evaluation, ensuring AI applications are highly performant, secure, and ready to serve millions of customers.
  3. 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.
  4. Establish clear engineering processes to ensure reliable delivery, code quality, and system scalability across multiple teams.

Skills

Required

  • engineering leadership
  • mentoring
  • scaling organizations
  • technical guidance
  • career development
  • model development
  • model evaluation
  • applied machine learning
  • productionizing LLM applications
  • ML infrastructure
  • ML platforms
  • AI deployment
  • cross-functional partnership
  • process establishment
  • code quality
  • system scalability

Nice to have

  • managing managers
  • organizational development
  • AI safety
  • AI security

What the JD emphasized

  • visionary leader
  • strong software and machine learning engineering background
  • deep expertise in applied ML at scale
  • Proven engineering leadership experience
  • 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.
  • execution-focused mindset
  • in-person attendance expected 5 days per week

Other signals

  • building foundational infrastructure and intelligent products
  • multi-step reasoning, tool-using agents, and automated workflows
  • leading the team responsible for both the agentic platform and agentic applications
  • overseeing the creation of the core infrastructure including LLM Gateways, memory, and evaluation frameworks
  • driving the development of high-impact products and autonomous customer support systems