Senior Manager, Information Security & IT
About the role
Genea is looking for a hands-on Senior Manager, Information Security & IT to lead and continuously improve our cybersecurity and corporate IT programs.
Responsibilities
Own and continuously mature Genea's cybersecurity compliance program, including SOC 2 Type 2, policies, controls, audit readiness, evidence management, risk assessments, cybersecurity awareness, and readiness for ISO 27001 and other relevant frameworks.
Establish practical governance and guardrails for secure enterprise adoption of AI, including approved AI technologies, data protection, third-party AI risk, responsible usage, and emerging AI cybersecurity requirements.
Establish measurable cybersecurity KPIs, KRIs, risk reporting, and provide regular program updates to the executive team.
Drive Genea's cloud and application security program in close partnership with Engineering, DevOps, Platform, and Product teams, including secure-by-design practices for traditional applications as well as AI and GenAI capabilities.
Mature secure SDLC and DevSecOps practices, including threat modeling, architecture reviews, SAST/DAST, dependency and container scanning, software supply-chain security, and controls for emerging AI risks such as prompt injection and excessive agent permissions.
Own vulnerability management and coordinate internal and external penetration testing, prioritizing findings and driving remediation with Engineering.
Own cybersecurity monitoring, detection, investigation, and incident response across cloud, applications, endpoints, corporate systems, and AI-enabled services.
Leverage AI and automation to improve threat detection, investigation, alert triage, and response, while monitoring emerging AI-enabled threats and attack techniques.
Own corporate IT operations, including employee endpoints, MDM, SaaS applications, device lifecycle management, onboarding/offboarding, hardware and software provisioning, and employee IT support.
Manage identity and access across corporate and approved AI systems, including SSO, MFA, privileged access, least privilege, IAM policies, access reviews, API credentials, and joiner/mover/leaver processes.
Represent Genea's cybersecurity program in customer and partner discussions and clearly communicate Genea's cybersecurity posture and controls.
Qualifications
7+ years of experience across cybersecurity, information security, cloud security, application security, security engineering, or IT, including 2+ years in a leadership or management role.
Strong technical experience with cloud-native SaaS environments, including AWS and/or Azure, IAM, application security, cloud security, vulnerability management, endpoint cybersecurity, and incident response.
Experience with secure SDLC and DevSecOps practices, including threat modeling, penetration testing, SAST/DAST, dependency scanning, container scanning, and secrets management.
Practical experience with SOC 2 Type 2, ISO 27001, NIST, or similar cybersecurity frameworks, including working with auditors, assessors, penetration-testing firms, and cybersecurity vendors.
Working knowledge of AI/GenAI cybersecurity risks and secure AI adoption practices, including data protection, AI governance, LLM and agent security, and emerging threats such as prompt injection and excessive agent permissions.
Strong understanding of modern identity and corporate IT environments, including SSO, MFA, endpoint management, MDM, SaaS administration, and privileged access, with the ability to communicate cybersecurity risk clearly to Engineering teams, customers, business leaders, and executives.
Experience building or significantly maturing cybersecurity and IT programs within a growing SaaS technology company preferred.
Experience implementing cybersecurity automation across CI/CD, cloud infrastructure, compliance, cybersecurity operations, and AI-enabled workflows preferred.
Experience with technologies such as AWS, Azure, Okta, CrowdStrike or equivalent, SIEM, MDM, vulnerability-management platforms, and automated GRC tools preferred.
Familiarity with AI cybersecurity frameworks and practices such as NIST AI RMF, OWASP GenAI/LLM guidance, AI red teaming, or securing agentic AI systems; CISSP, CISM, CCSP, or comparable cybersecurity certifications are preferred but not required.