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Senior DevSecOps Manager

Job in New York, New York County, New York, 10261, USA
Listing for: Yoh Services LLC
Full Time position
Listed on 2026-09-24
Job specializations:
  • IT/Tech
    Cybersecurity, AI Engineer (Applied/Software), IT Project Manager, Information Security & Data Protection
Salary/Wage Range or Industry Benchmark: 160000 - 225000 USD Yearly USD 160000.00 225000.00 YEAR
Job Description & How to Apply Below

Job Title:

Senior Dev Sec Ops  Manager

Type:
Full Time

Location:

New York City, NY - Hybrid

Salary: $160000- 225000

Our client is looking for a Senior Manager, Dev Sec Ops  to lead a group of engineers working across multiple teams integrating security into our Dev Ops, CI/CD, IaC pipelines, and AI/ML workloads, ensuring secure, compliant, and efficient software delivery across the organization.

As a Dev Sec Ops  Sr. Manager, you will oversee technical design and execution across multiple functional areas while providing strategic leadership on Dev Sec Ops  best practices, cloud-native security, AI/ML security, and automation. You will lead teams of 2-5+ Dev Sec Ops  and security engineers across multiple infrastructure areas, fostering a culture of security throughout the software development lifecycle (SDLC) and AI/ML pipelines.

This role requires balancing technical depth in areas such as Infrastructure-as-Code (IaC), container security, and AI security with strategic leadership to drive security initiatives across the organization. The ideal candidate will serve as a technical leader who can architect secure solutions for both traditional and AI workloads, develop their teams' capabilities, and work cross-functionally with engineering teams to embed security practices into every stage of development, deployment, and AI model lifecycle.

They operate at a massive scale, our backend handles over 100B+ events per day, we analyze and process those events in real-time while making decisions on the environment where the ad is running and all the user interactions during the Ad display lifecycle. We verify that all Ads are Fraud Free, Brand Safe, in the right Geo and highly likely to be viewed and engaged, all that in in under 10ms.

They are global, we have R&D centers in New York, Paris, London, Munich, Belgium, and more. If you like to solve big data challenges and want to help us build a better industry then your place is with us.

Responsibilities will include:
  • Manage and lead multiple Dev Sec Ops  teams, mentor and hire senior Dev Sec Ops  and security engineers, building high-performing teams focused on security excellence across traditional and AI workloads.
  • Secure AI/ML pipelines and infrastructure by implementing security controls for model deployment environments, ensuring protection against AI-specific threats such as prompt injection, data poisoning, and model extraction.
  • Establish AI security governance frameworks including policies for LLM usage, RAG (Retrieval Augmented Generation) systems security, MCP (Model Context Protocol) security, and AI supply chain risk management.
  • Implement automated security scanning for AI artifacts including model files, training datasets, and AI-generated code, integrating these checks into CI/CD pipelines alongside traditional SAST, DAST, and SCA tools.
  • Oversee security for AI workload identity and access management, ensuring proper authentication, authorization, and encryption for AI services, APIs, and vector databases used in RAG systems.
  • Lead AI security incident response for threats specific to AI/ML systems including adversarial attacks, model theft, data leakage through LLM outputs, and unauthorized AI service usage.
  • Ensure adherence to compliance standards such as SOC 2, ISO 27001, SOX, and MRC by automating compliance evidence collection, with special focus on AI governance and responsible AI principles.
  • Define and execute Dev Sec Ops  strategy aligned with business objectives, security requirements, and emerging AI security best practices across the organization.
  • Create architecture designs for security systems and services spanning multiple teams and infrastructure areas, including AI-specific security architectures.
  • Drive continuous improvement of security automation, AI security tooling, and processes across traditional and AI workloads.
  • Establish security metrics and KPIs to measure team effectiveness, security posture, 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 regularly on security strategy, AI risk management, and cross-organizational security initiatives.
Who you are Experience & Leadership
  • 5-6+ years of experience in Cybersecurity/Dev Ops, or Dev Sec Ops , with proven experience leading security teams of ~5+ engineers across multiple infrastructure areas.
  • Leads teams of two or more functional areas with authority over team processes,…
Position Requirements
10+ Years work experience
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