Sr. Application Security Manager

DoubleVerify•New York, NY

35d•$153,000 - $260,000•Hybrid

About The Position

As Application & AI Security leadership within DV InfoSec, you will own and evolve DoubleVerify's Secure Software Development Lifecycle (SSDLC), application security, API security, and AI/LLM security. You will lead the people, processes, and tooling that keep DV's code, pipelines, cloud workloads, APIs, and AI systems secure, partnering across the engineering organization. DV protects the integrity of digital advertising for the world's biggest brands. Securing the applications, APIs, pipelines, and AI systems behind that mission directly protects DV's customers, revenue, and reputation. You'll have executive support, real budget, modern tooling, and the mandate to build a best-in-class Application, AI, and Security Engineering program.

Requirements

10+ years of progressive experience in information security, with at least 3 years in a technical management or lead role.
Demonstrated expertise in two or more of the following domains: application security, AI/ML security, software supply chain security, penetration testing, cloud security.
Hands-on experience with AppSec tooling such as SAST, SCA, DAST, ASPM platforms (e.g., Ox Security, Snyk, Veracode, Checkmarx) and API security.
Experience securing AI/ML systems, including familiarity with the OWASP Top 10 for LLMs, NIST AI RMF, agent architectures, and LLM attack vectors.
Proficiency in cloud-native environments, particularly GCP; experience with Kubernetes and infrastructure-as-code (e.g., Terraform) is highly desirable.
Experience managing or directly executing penetration testing programs (web, API, cloud, AI) and bug bounty programs.
Familiarity with DevSecOps principles and integrating security into CI/CD pipelines (GitLab/GitHub/GitOps/ArgoCD).
Strong understanding of software supply chain security: SBOM, license compliance, OSV/CVE triage, and dependency chain risk.
Experience collaborating with compliance and audit programs (SOC 2, ISO 27001) from a security engineering perspective.
Excellent written and verbal communication skills with demonstrated ability to present complex security topics to both technical and non-technical audiences.
Proficiency in at least one scripting/programming language (e.g., Python) for security automation.

Nice To Haves

Industry certification preferred (CISSP, CSSLP, GWAPT, OSCP, or equivalent).
Bachelor's degree or higher in Computer Science, Information Systems, or a related field, or equivalent technical experience.

Responsibilities

Own and evolve DV's application security program, including SAST, SCA, DAST, and Application Security Posture Management (ASPM) tooling (e.g., Ox Security) — advancing findings from non-blocking warnings toward enforced, risk-based merge gates.
Drive the OWASP Application Security Verification Standard (ASVS) adoption program across engineering repositories, including reporting, dashboards, and branch-level coverage.
Drive SBOM management, license compliance, and software supply chain security practices across development teams.
Partner with DevOps and engineering to embed security across the CI/CD pipeline and Secure SDLC (SSDLC).
Develop and maintain application security metrics and reporting for engineering leadership, including vulnerability burn-down and mean-time-to-remediate (MTTR).
Lead the bi-weekly vulnerability remediation touchpoints and the monthly Application Security Leadership Forums with engineering organizations (Pinnacle, Measurement, Programmatic, Architecture, Publisher, Social, QA, TechOps/SRE, CorpIT, DevOps, and M&A) to drive progress and accountability.
Oversee DV's API security program (OWASP API Security Top 10, e.g., Escape API Security) and attack surface management (ASM) capabilities, including discovery of shadow/zombie APIs.
Assist with Web Application Firewall (WAF) configuration, deployment, and monitoring.
Partner with DevOps/SRE on cloud and container security (e.g., Wiz) to deliver code-to-cloud coverage.
Lead AI security governance, engineering, and threat assessment functions across DV's AI/ML ecosystem.
Secure AI agents, LLM-based applications, MCP gateway, and agentic SDLC workflows against threats such as prompt injection, jailbreaking, excessive agency, and supply chain compromise — including guardrails, telemetry, logging, and detections for developer AI tooling (Cursor, Claude Code, VS Code).
Evaluate and operationalize AI security platforms to provide detection, response, and AI supply chain governance across teams building or operating AI systems (e.g., AI security gateway, shadow-AI discovery/DLP, AI identity and software management).
Build threat models and controls for first- and third-party AI/ML workloads, including data pipelines, model provenance, and RAG architectures.
Advance AI-assisted security testing (e.g., DV's PromptFlow-driven web/API security test generation) to scale coverage across teams.
Lead DV's offensive security and penetration testing program, working with external vendors and conducting internal security assessments.
Build and maintain security automation capabilities to reduce manual effort and increase detection coverage.
Partner with the DevOps and CloudOps organizations on cloud security (primarily GCP/Kubernetes), shared responsibility model execution, and infrastructure-as-code security.
Own and conduct threat modeling for DV products and infrastructure.
Deliver secure coding training and developer enablement programs across global engineering teams.
Recruit, onboard, and manage a team of security engineers and contractors, including software security developers and offensive security testers.
Set goals, track performance, and provide ongoing coaching and mentorship to team members.
Administer budgets, vendor relationships, and tool procurement within the security engineering function.
Collaborate cross-functionally with GRC, Security Operations, IT Security, Legal, and Privacy teams.
Meet with senior leadership, engineering managers, and developers across DV's global engineering departments on a regularly scheduled basis to share the security roadmap and best practices.
Represent the application security and AI security programs to senior leadership and in audit/compliance contexts (SOC 2, ISO 27001, NIST CSF 2.0).