AI Security Governance Lead governing AI security risks for a financial institution. Work across CISO and senior stakeholders embedding AI considerations into standards and policies.
About the role
- Lead Security Engineer driving security initiatives for cloud-based software company. Focused on scalable tooling for automated detection and response while mentoring security engineers.
Responsibilities
- Engineer and architect scalable security solutions for cloud-native environments to protect customer data, applications, and networks
- Develop autonomous security agents and workflows using LLMs and agentic frameworks to automate complex tasks such as event monitoring and triage, threat modeling, vulnerability discovery and remediation
- Design and build automated identity and access management (IAM), data encryption, and threat detection capabilities that function without manual intervention
- Create technical baselines and security controls for AI-driven products, ensuring data model integrity and the security of training pipelines
- Build defenses against emerging AI-specific threats, such as prompt injection, model inversion, and data leakage, within both customer-facing and internal AI initiatives
- Conduct deep-dive technical reviews of AI architectures to ensure security is embedded into the foundation of every new model and automation project
- Lead the response effort during active security incidents and provide expert analysis when called upon for internal investigations
- Partner with Engineering and SRE teams to engineer security directly into our Platform, CI/CD pipelines and Infrastructure-as-Code (IaC)
- Provide technical mentorship to security and engineering teams, fostering a culture where security is viewed as an engineering challenge to be solved with code
- Ensure that all engineered solutions align with the broader enterprise security strategy
Requirements
- 7+ years of experience in security engineering, cloud security, or security architecture in a SaaS or cloud-native environment
- Demonstrated ability building with AI: developing with LLM APIs, agentic frameworks or utilizing AI-assisted coding tools to automate engineering workflows
- Deep technical proficiency in cloud security, modern IAM, and network security
- Expertise in Secure SDLC & DevSecOps: Strong understanding of building security into automated deployment pipelines and infrastructure
- Strong written and verbal communication skills, with the ability to explain complex security issues to both technical and non-technical audiences
Benefits
- People-first culture – Be part of a team that values authenticity, champions collaboration, and supports each other—no egos, just teamwork. Work alongside top talent from around the world in an inclusive space where different perspectives fuel our best ideas. Everyone is welcome
- Unlock potential – Push boundaries, take ownership, and experiment with the latest technologies as we enhance our AI First Vision. We empower bold ideas that drive real change
- We’ve got you – Your well-being matters. Enjoy flexible hours, wellness perks and SWAG. Think performance-based bonuses, 28 paid leave days, well-being days, compassionate leave, and even pawternal leave—because we take care of ourselves and our people
- Grow with us – Whether through mentorship, coaching, or internal mobility, we invest in helping you unlock your potential. Open, honest feedback and clear communication are at our core. We grow together through trust and accountability
- Packed with purpose – Help 100,000+ small and medium-sized businesses grow and succeed while doing meaningful, customer-driven work
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