Job Opportunities API

Who we are DoubleVerify is a big data and analytics company. We track and analyze tens of billions of ads every day for the biggest brands in the world like Apple, Nike, AT&T, Disney, Vodafone, and most of the Fortune 500 companies. If you ever saw an Ad online via Web, Mobile, or CTV device then there are chances that it was analyzed by us. We 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. We 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. We at DoubleVerify believe that hiring people with a broad range of technical skillsets results in the highest satisfaction for our engineers and a strong return on investment for the company. We want people who love the idea of building secure automation tools and platforms that enable our developers to ship code safely and efficiently. What you'll do We are looking for a Senior Manager, DevSecOps to lead a group of engineers working across multiple teams integrating security into our DevOps, CI/CD, IaC pipelines, and AI/ML workloads, ensuring secure, compliant, and efficient software delivery across the organization. As a DevSecOps Sr. Manager at DoubleVerify, you will oversee technical design and execution across multiple functional areas while providing strategic leadership on DevSecOps best practices, cloud-native security, AI/ML security, and automation. You will lead teams of 2-5+ DevSecOps 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. Responsibilities will include: Manage and lead multiple DevSecOps teams, mentor and hire senior DevSecOps 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 governa