Engineering Manager, Agentic AI

About the role

The Engineering Manager, Agentic AI at Robinhood is responsible for leading the development of AI and ML infrastructure that powers Robinhood’s products and internal optimizations. This role is based in Menlo Park, CA and requires a strong background in software engineering, applied machine learning, and leadership.

Responsibilities

• Lead, mentor, and scale a high-performing organization of engineers, managers, and applied ML specialists
• 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

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 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

Qualifications

• Master’s degree in Computer Science, Applied Mathematics, Statistics, or related field
• Minimum 7 years of relevant experience in software engineering and/or applied machine learning
• Experience in leading and mentoring a team of engineers and ML specialists
• Strong understanding of large language models (LLMs) and their application in real-world products
• Experience in deploying AI systems in a production environment

Skills

• Strong communication and interpersonal skills
• Ability to translate complex business and product goals into clear technical milestones and organizational strategy
• Experience with cloud-based platforms and infrastructure
• Knowledge of data science and statistical analysis

Benefits

• Challenging, high-impact work to grow your career
• 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!

Pay

• 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.

Schedule

• This role is based in the Menlo Park, CA office and requires in-person attendance 5 days per week.