About Ripple
At Ripple, we're building a world where value moves like information does today. Through our crypto solutions for financial institutions, businesses, governments and developers, we are improving the global financial system and creating greater economic fairness and opportunity for more people, in more places around the world.
Responsibilities
•Drive the AI Security technical strategy and roadmap, defining how Ripple secures its AI systems, governs agentic workflows, and embeds security controls into the AI development lifecycle from day one.
•Design and implement security controls for LLM-integrated and agentic AI systems, including sandboxing, identity and permission scoping, runtime monitoring, and containment of autonomous agent actions that exceed authorized scope.
•Own AI security across the Controlled Agentic SDLC, establishing security guardrails, AI provenance standards, dual-review requirements, and audit trail controls for AI-assisted development across Ripple Engineering.
•Lead the security review and risk assessment of all AI integrations entering production, including LLM APIs, SaaS copilots, AI code editors, agentic workflows, third-party MCP servers, and vendor-embedded AI.
•Build and scale Ripple's Shadow AI detection capability, surfacing unsanctioned AI usage, driving adoption of the AI acceptable use policy, and ensuring all AI workflows operate within Ripple's auditable perimeter.
•Serve as Ripple's go-to technical resource on agentic AI risks, including MCP server security, tool poisoning, prompt injection at the orchestration layer, and excessive agency in multi-agent systems, translating emerging threats into concrete mitigations with Engineering and Product.
•Shape Ripple's external AI security posture, contributing to industry frameworks, engaging regulators, and publishing research that establishes Ripple as a credible voice in responsible AI security.
Requirements
•10+ years of Security Engineering experience with demonstrated depth in at least two domains, such as Product Security, Cloud Security, or Security Operations, and meaningful hands-on exposure to AI or ML security in practice.
•Solid understanding of AI and LLM security concepts, including prompt injection, jailbreaks, data poisoning, model extraction, RAG manipulation, and agentic risks such as tool poisoning, excessive agency, and MCP server vulnerabilities.
•Experience securing agentic AI systems, including sandboxing, permission scoping, human-in-the-loop design, or runtime monitoring for autonomous workflows.
•Fluency with core Security Engineering domains including cloud security on AWS, GCP, or Azure, CI/CD pipeline security, container and Kubernetes security, IAM, and API security, with the ability to reason about how these apply in AI-specific contexts.
•Strong threat modeling instincts, whether using STRIDE, MITRE ATLAS, OWASP LLM Top 10, or your own approach, and comfort applying frameworks to architectures where the playbook remains in development.
•Proven ability to work across teams, influence technical direction without direct authority, and bring structure to problems that span Engineering, Product, and Security.
•A genuine builder's mentality: energized by problems without established playbooks, comfortable building in ambiguity, and motivated by raising the bar in an area that is still being defined.
Nice to have
•Experience in FinTech, crypto, or other highly regulated environments is a strong plus, ideally with exposure to frameworks like NYDFS, MAS, DORA, or SOC 2 as they relate to AI adoption.
Conditions / Benefits
•The opportunity to build in a fast-paced start-up environment with experienced industry leaders.
•A learning environment where you can dive deep into the latest technologies and make an impact.
•A professional development budget to support other modes of learning.
•In-office collaboration for moments that matter is important to our culture, and managers and teams have flexibility to decide which 10+ days a month they come in.
•Bi-weekly all-company meeting - business updates and ask-me-anything style discussion with the Leadership Team.
•Team offsites, team bonding activities, happy hours and more.
•Competitive salary, bonuses, and equity.
•Competitive benefits that cover physical and mental healthcare, retirement, family forming, and family support.
•Employee giving match.
•Mobile phone stipend.
•R&R days so you can rest and recharge.
•Generous wellness reimbursement and weekly onsite & virtual programming.
•Generous vacation policy - work with your manager to take time off when you need it.
•Industry-leading parental leave policies. Family planning benefits.
•Catered lunches, fully-stocked kitchens with premium snacks/beverages, and plenty of fun events.
•Benefits listed above are for full-time employees.
