Stand up application security posture management (ASPM) and KPIs/metrics that give leadership visibility and guide investment.
Apply AI‑assisted and agentic security tooling to accelerate code review, triage, and fix generation — with human‑in‑the‑loop validation and controls for AI‑specific risks (prompt injection, data leakage, unsafe automation).
Strengthen software supply‑chain security, including SBOM and third‑party/open‑source risk.
Partner across R&D, IT, Manufacturing, and Product Security on requirements and risk, and communicate clearly to senior stakeholders.
Collaborating with the application teams/owner for remediation
Scaling the AI AppSec program
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What you need
BE/ME in computer science, electronics, or a related technical field — or equivalent experience.
~12+ years in software or information security, including demonstrated technical leadership of application‑security programs or initiatives (e.g., leading a champions network, mentoring engineers, driving cross‑team adoption).
Proven expertise in software security assessment, threat modeling, and secure architecture.
Strong grasp of OWASP Top 10, ASVS, SAMM, NIST SSDF, CWE, CVSS.
Hands‑on proficiency with SAST, DAST, and SCA integrated into CI/CD pipelines.
Experience with SBOM and software supply‑chain security.
Proficiency in Python scripting.
Ability to evaluate AI output for accuracy and manage AI‑specific risks (prompt injection, data leakage).
Strong written communication for technical documentation and risk reporting, and the ability to influence senior stakeholders.
Preferred
Experience with cloud security (AWS, Azure, or GCP), containers/Kubernetes, and IaC scanning.
Hands‑on experience using LLMs / agentic AI for security work (code review, triage, remediation).
A second programming language (Java, C/C++, or JavaScript).
Experience building agentic DevSecOps / AI security‑testing workflows.
Exposure to ISO/SAE 21434, embedded, or semiconductor software security.
Experience coordinating vendors and multi‑site stakeholders.
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