Lead the development of AI and ML infrastructure at Robinhood to empower product and engineering teams.
Skills & Technologies
Role intensity
10% coding — mostly leadership/strategy
AI in the day-to-day
We are building foundational AI and ML infrastructure that empowers our product and engineering teams to build, deploy, and scale AI-driven features.
Benefits
Joblaze summary
The Engineering Manager for Agentic AI at Robinhood is responsible for leading the development of AI and ML infrastructure that supports the company's financial products. This role requires a strong background in software engineering and applied machine learning, particularly in deploying large language models. It is suited for experienced leaders who can manage teams and drive organizational growth while ensuring the delivery of high-performance AI applications. The position emphasizes collaboration across various departments to meet the complex needs of Robinhood's diverse offerings.
Joblaze insights
- Listed 11 days ago on Joblaze — tracked directly from Robinhood's career page.
- Robinhood has 132 other open roles including Technical Accounting Manager, New Product, Senior Cloud Engineer, Senior Growth Engagement Manager, International.
- 1835 active AI/ML roles on Joblaze right now.
- 49 active Large Language Models roles on Joblaze right now.
- Salary band is above the typical range for AI/ML roles (median ~$194,500).
- Pays more than 73% of the 1064 salaried AI/ML roles we track (median $190,000).
Quick facts
- Is the Engineering Manager, Agentic AI role remote?
- No — this is an on-site role in Menlo Park, CA.
- What's the salary range?
- Robinhood lists $255,000–$300,000 for this role.
- Where is the role based?
- Robinhood is hiring for this position in Menlo Park, CA.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: Large Language Models, AI/ML.
- What seniority level is this role?
- Robinhood targets lead candidates for this position.
- Is this full-time or contract?
- Full-time for this Engineering Manager, Agentic AI role at Robinhood.
From the original posting
Join us in building the future of finance.
Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading.
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 Engineering Manager 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 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 integrit
What we offer
● 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!
● Exceptional office experience with catered meals, events, and comfortable workspaces
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:
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If our mission energizes you and you’re ready to build the future of finance, we look forward to seeing your application.
Robinhood provides equal opportunity for all applicants, offers reasonable accommodations upon request, and complies with applicable equal employment and privacy laws. Inclusion is built into how we hire and work—welcoming different backgrounds, perspectives, and experiences so everyone can do their best. Please review the Privacy Policy for your country of application.