Lead product security engineering for our payment platform—owning threat modeling, security architecture review, secure SDLC practices, and API security across the engineering organization
Help mature our AI security program developing genAI controls, securing ML pipelines, and working alongside the Model Risk Office for model evaluations.
Provide security architecture oversight across infrastructure and enterprise security—endpoint, network, VPN, and corporate security controls—ensuring technical standards are coherent across all security domains
Shape how security engineering scales across the organization through tooling, frameworks, security champions engagement, and engineering partnerships

10+ years of security engineering experience with demonstrated technical leadership across multiple security domains; or equivalent combination of education and experience
Deep product security expertise: threat modeling, security architecture review, secure code review, API security, authentication/authorization design, and secure SDLC practices
Experience with or strong interest in AI/ML security—understanding of risks including adversarial attacks, model poisoning, prompt injection, data privacy, and AI supply chain threats. We want someone who is genuinely excited about AI technology and wants to secure it, not just govern it
Broad security fluency across infrastructure and enterprise security—endpoint protection, network security, identity, and cloud security—even if your deepest expertise is in application and product security
Experience working in cloud-native environments (AWS preferred) with familiarity across AI/ML services (Bedrock, SageMaker, etc.)
Proven ability to build security frameworks, tools, and programs from the ground up
Strong programming skills in at least one language (Python, Java, Go, or similar) with the ability to read and review code across multiple languages
Experience with security assessment methodologies and risk management frameworks
Working knowledge of compliance and control frameworks relevant to financial services (PCI DSS, SOX, SOC2, NIST CSF)
Ability to communicate complex security risks to both technical and executive audiences.

Multiple health insurance options
Flexible time off – take what you need
Retirement savings program with company contribution and after tax contributions
Equity in a publicly-traded company and an Employee Stock Purchase Program
Family-forming benefits, fertility support, and up to 20 weeks of Parental Leave
Free therapy sessions, financial and professional coaching, and legal advice
Monthly stipend to support our remote work model
Annual “development dollars” to support our people growth and development
Through Flex First, the freedom to live and work wherever you and your family thrive

Principal Security Engineer, Product – AI

Key skills