Senior Product Manager, Security AI

About the team + role

We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards.

The AI Platform team builds the secure foundation that enables responsible, high-quality AI across Robinhood. Our mission is to provide the infrastructure, governance controls, and reusable services that allow teams to develop AI-powered products while meeting strict security, privacy, and regulatory requirements. We partner closely with Security, Privacy, Risk, Compliance, Engineering, and Data Science to ensure AI systems are resilient, explainable, and production-ready. Our work is central to protecting customer data and maintaining trust as we expand AI capabilities across the company!

As a Senior Security AI Product Manager, you will define and execute the strategy for secure AI development at scale. You will shape the roadmap for capabilities such as model governance, secure model deployment, adversarial testing, AI risk controls, and monitoring frameworks. You will work with internal product teams to help them adopt AI safely, accelerate experimentation within guardrails, and operationalize controls for fraud detection, abuse prevention, identity protection, and sensitive data handling. Your work will directly influence how AI is built, reviewed, launched, and continuously monitored across Robinhood.

This role is based in our Bellevue, WA office, with in-person attendance expected at least 3 days per week.

At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams.

What you’ll do 

• Set the strategy and roadmap for secure AI platform capabilities, including model governance, access controls, secure data pipelines, and production monitoring.
• Define requirements for AI security standards such as model risk assessments, red-teaming, adversarial testing, explainability reviews, and audit logging.
• Partner with Security, Privacy, Risk, and Compliance to translate regulatory expectations into clear product requirements and reusable platform controls.
• Establish measurable health metrics for AI systems, including model performance, drift detection, abuse signals, and incident response readiness.
• Guide internal teams through secure AI adoption by providing structured intake processes, risk reviews, and launch readiness criteria.

What you bring:

• Experience:
• Minimum 4 years in building and launching high-quality consumer products.
• Proven experience in defining and developing AI-powered products.
• Bonus points for experience in fintech and/or consumer AI products.
• Technical Knowledge:
• Familiarity with experimentation platforms and A/B testing for ML systems.
• Understanding of fine-tuning, evaluations, and ML optimization techniques.
• Exposure to LLMs, recommender systems, NLP, or reinforcement learning.
• Experience with products leveraging Agentic AI is a plus.
• Skills:
• Strong leadership, communication, and relationship management abilities.
• Adept at translating complex technical details into easily understandable language for a wider audience.
• Decision Making:
• Experience utilizing research, experimentation, and product analytics to drive informed decisions.