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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates extensive expertise in security engineering, particularly in leading product and cloud security initiatives, managing vulnerability assessments, and implementing security architecture standards. Proficient in AI security risks and compliance with regulations such as FERPA and COPPA.
Highest-signal resume keywords
Security Engineering LeadershipCloud Security ManagementAI Security Risk AssessmentVulnerability ManagementRegulated Data Compliance
ATS Keywords
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Hard Skills
Security ArchitectureVulnerability ManagementCloud SecurityAI SecurityIAM ManagementPenetration TestingThreat ModelingSecure SDLCCode-Scanning GatesOWASP Top 10
Soft Skills
Team LeadershipInfluencing Engineering LeadersCommunication SkillsRisk AssessmentTechnical Expertise
Tools & Technologies
AWSWAFInfrastructure as CodeWizGRC
Industry Keywords
SaaSFERPACOPPANIST AI RMFData LeakagePrompt InjectionAgent Abuse
Tech Stack
Tools & technologiesAWSCloudSDLC
About the role
Key responsibilities & impact- Own how Instructure builds and runs securely
- Lead product security embedded in R&D teams
- Lead cloud and infrastructure security across AWS
- Lead AI security for AI features, agents, and services
- Own security architecture standards, vulnerability management, and edge security
- Lead threat modeling, design reviews, and release gates
- Approve standard product launches and own penetration testing and bug bounty intake
- Manage IAM, AWS guardrails, infrastructure as code, patch policy, secrets rotation, and privileged and non-human access
- Own WAF standards and approve WAF rule and patch window changes
- Define controls for prompt injection, excessive agent permissions, tool abuse, data leakage, and unauthorized access through RAG and connectors
- Set intake and risk review for third-party AI services and manage shadow AI risk with GRC
- Include AI risks in threat modeling, design review, and release gates
- Work with the Security Architect on AI reference patterns and with GRC on AI governance and risk
- Set security architecture and design standards
- Own vulnerability management using Wiz across code and cloud
- Set secure SDLC standards and release criteria, including code-scanning gates
- Support customer security reviews as the technical expert
- Deliver Security Engineering commitments and track Engineering commitments with the VP of Engineering
- Hire, lead, and grow the team
- Write job descriptions for team roles
- Report vulnerability SLA performance monthly and product security metrics quarterly
- Manage Security Engineering spend to budget
- Ensure team members have written development plans reviewed quarterly
- Report to the CISO
Requirements
What you’ll need- 10+ years in security engineering
- 5+ years leading security teams
- Experience leading product security and cloud security teams
- Hands-on depth in cloud environments
- Practical knowledge of AI and LLM security risks, including prompt injection, agent abuse, and data leakage
- Knowledge of OWASP Top 10 for LLM Applications and NIST AI RMF
- Experience influencing senior Engineering leaders on design and risk trade-offs
- Experience in SaaS
- Ideally, experience handling regulated data such as education records under FERPA and COPPA
- Must pass a background check
- Candidates may be required to verify legal name, current physical location, valid contact number, and residential address in accordance with local data privacy laws
Benefits
Comp & perks- Competitive compensation
- Ownership program for all full-time employees
- Flexible work culture
- Generous time off, including local holidays and annual “Dim the Lights” period
- Comprehensive wellness programs and mental health support
- Learning and development resources
- Professional development tools
- Tuition reimbursement
- Technology and tools needed to do your best work
- Motivosity employee recognition program
- Inclusive and supportive culture