Senior Manager, DevSecOps

What you'll do

• Manage and lead multiple DevSecOps teams, mentor and hire senior DevSecOps and security engineers
• Secure AI/ML pipelines and infrastructure with security controls for model deployment environments
• Establish AI security governance frameworks including policies for LLM usage, RAG systems security, MCP security, and AI supply chain risk management
• Implement automated security scanning for AI artifacts integrated into CI/CD pipelines
• Oversee security for AI workload identity and access management
• Lead AI security incident response for AI/ML specific threats
• Ensure adherence to compliance standards such as SOC 2, ISO 27001, SOX, and MRC by automating compliance evidence collection
• Define and execute DevSecOps strategy aligned with business objectives and emerging AI security best practices
• Create architecture designs for security systems and services including AI-specific security architectures
• Drive continuous improvement of security automation, AI security tooling, and processes
• Establish security metrics and KPIs to measure team effectiveness and AI risk exposure
• Foster a culture of security awareness and AI security best practices across engineering, data science, and product teams
• Collaborate with senior/executive management on security strategy, AI risk management, and cross-organizational security initiatives

Requirements

• 5-6+ years of experience in Cybersecurity/DevOps or DevSecOps
• Proven experience leading security teams of ~5+ engineers across multiple infrastructure areas
• Experience leading teams of two or more functional areas with authority over team processes, tools, and priorities
• Regular interaction with senior/executive management
• Experience leading Sev1/2 incidents and providing strategic direction during major security events
• Supervision over costs, methods, staffing, and budget for teams
• Bachelor's degree in Computer Science, Information Systems, or equivalent experience
• Technical expertise in AI/ML security, AI governance & compliance, AI pipeline security, AI identity & access, network security, encryption and cryptography, IAM, OS security, application security, threat intelligence, incident response, risk management, security architecture, automation and scripting, cloud security
• Experience with AI/ML platforms, AI security tools, cloud platforms, CI/CD tools, container orchestration, and IaC

Tech stack

Benefits