Define and execute the security strategy for application and cloud environments aligned to business priorities, delivery timelines, and compliance requirements
Lead by example with a strong hands-on presence in technology, tooling, and program execution
Proactively identify, assess, and track vulnerabilities, control gaps, and architectural risks across products and cloud platforms
Prioritize remediation efforts based on risk, business impact, and threat intelligence—partnering with engineering teams to drive resolution
Provide real-time advisory to development teams during design, build, and release stages
Scale security guardrails and developer-friendly tooling across hybrid and cloud-native environments (AWS, containers, IaC, etc.)
Champion threat modeling, secure coding practices, and resilience-by-design at the feature level
Define and govern secure reference architectures and patterns for cloud adoption, microservices, and serverless environments
Collaborate with Enterprise Architecture and serve on the Security Architecture Review Board (SARB)
Deploy and optimize a modern security tooling stack including SAST, DAST, SCA, IaC scanning, CSPM, secrets detection, and runtime protection
Act as a key collaborator across product, engineering, infrastructure, and DevOps teams—reducing security friction and aligning controls with workflows
Build trust through enablement, education, and repeatable guidance frameworks
Lead, mentor, and grow a high-performing team of AppSec and CloudSec professionals
Foster a culture of innovation, ownership, and technical excellence
Define and report on KPIs/KRIs tied to application and cloud security posture, remediation progress, and control maturity
Support compliance, audit, and customer security assurance initiatives
Support AI/ML privacy practices, model governance, training data management, and privacy risk mitigation in LLM pipelines (bonus)
Requirements
10+ years in cybersecurity with a focus on application and/or cloud security
5+ years of team leadership, with proven experience building and scaling security engineering functions
Execution experience and capability in a fast-paced environment
Demonstrated ability to balance strategic direction with hands-on technical execution
Strong expertise in secure SDLC, threat modeling, DevSecOps, and cloud-native architectures
Experience in securing modern technology stacks including Java, Python, microservices, container orchestration, and public cloud (preferably AWS)
Familiarity with key tooling: SAST, DAST, SCA, IaC scanning, secrets detection, CSPM, WAF, and API security platforms
Proficiency in cloud infrastructure security (IAM, networking, data protection, KMS, etc.)
Bachelor’s degree in computer science, Cybersecurity, or a related technical field; advanced degree or certifications (e.g., CISSP, CSSLP, CCSP, AWS Security Specialty) preferred
Research and evaluate emerging privacy technologies from academia and industry, contributing to open-source tools and AI privacy standards
Act as consultant and advocate for privacy best practices as central to our mission of Responsible AI
Strong communicator with the ability to positively influence engineers, developers, architects, and business leaders alike (preferred)
Thoughtful, pragmatic, and able to execute in a high-velocity, agile environment (preferred)
Deeply collaborative and experienced at embedding security into developer culture (preferred)
Track record of reducing risk without slowing down innovation (preferred)
Broad knowledge across the Security domain, and demonstrated focus in AI security evaluations and areas such as Red Teaming, Purple Teaming, Vulnerability Research, and Exploitation (preferred)
Master's degree (or foreign equivalent) in Information Systems Engineering, Computer Science, Engineering, Information Security, Cyber Security, Information Assurance, or related field (preferred)
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