Zeta Global Jobs Hiring Now
Zeta Global is hiring for 84 open roles on Migrate Mate as of July 16, 2026, concentrated in sales and software engineering, with listed salaries up to about $500,000. Migrate Mate updates Zeta Global's live openings daily. Zeta Global is a data-driven marketing technology company that helps enterprise brands acquire, grow, and retain customers through AI-powered software and data analytics.
Find Zeta Global JobsOverview
Zeta Global hiring data on Migrate Mate, as of July 16, 2026.
- Open jobs
- 84
- Top team
- Sales
- Seniority
- Manager level or above
- Work type
- 54% remote or hybrid
- Top location
- New York
- Salary range
- $60,000–$500,000
Listed salaries for Zeta Global roles on Migrate Mate range from about $60,000 to $500,000 per year across 84 open roles, as of July 16, 2026.
Open Roles at Zeta Global
Showing 25 of 84+ Zeta Global jobs
WHO WE ARE
Zeta Global (NYSE: ZETA) is the AI-Powered Marketing Cloud that leverages advanced artificial intelligence (AI) and trillions of consumer signals to make it easier for marketers to acquire, grow, and retain customers more efficiently. Through the Zeta Marketing Platform (ZMP), our vision is to make sophisticated marketing simple by unifying identity, intelligence, and omnichannel activation into a single platform – powered by one of the industry's largest proprietary databases and AI. Our enterprise customers across multiple verticals are empowered to personalize experiences with consumers at an individual level across every channel, delivering better results for marketing programs. Zeta was founded in 2007 by David A. Steinberg and John Sculley and is headquartered in New York City with offices around the world. To learn more, go to www.zetaglobal.com.
About the Role
We're seeking a Lead Application Security Engineer to help advance Zeta Global's application and platform security posture through AI-native security practices, intelligent automation, and scalable security engineering. You'll play a critical role in embedding security throughout the software development lifecycle by using AI-driven tools, automated controls, and data-informed risk prioritization to ensure our systems, applications, and AI-powered platforms are built securely from the ground up.
Zeta operates at massive scale, powering billions of consumer profiles and petabytes of data across real-time, AI-powered marketing platforms. In this role, you'll collaborate with Engineering, Product, QA, DevOps, and AI platform teams to identify risks, design secure-by-default patterns, and build automated security capabilities that enable secure innovation at speed.
This position offers significant technical scope, cross-functional visibility, and the opportunity to directly influence the company's security maturity through AI-enabled threat modeling, automated validation, intelligent vulnerability management, and proactive defense.
Key Responsibilities
AI-Driven Threat Modeling & Security Validation
- Use AI-assisted threat modeling capabilities to identify application, platform, API, cloud, data, and AI/ML security risks early in the design and development process.
- Leverage automated security review tools to evaluate architecture, design documents, code changes, APIs, and data flows for security gaps and control weaknesses.
- Drive AI-assisted code security reviews using SAST, DAST, SCA, secrets detection, IaC scanning, container scanning, and contextual risk analysis.
- Use automation and intelligent correlation to assess third-party libraries, APIs, vendor integrations, and open-source dependencies for security, compliance, and supply-chain risk.
- Support AI-enabled red team, blue team, and incident response simulations to validate detection, prevention, and response capabilities.
Embedding AI-Native Security into the SDLC
- Partner with developers and QA engineers to embed AI-driven security testing and automated risk detection into CI/CD pipelines.
- Build and improve security automation that provides real-time feedback to developers during design, coding, testing, release, and deployment.
- Use AI-assisted analysis to review architecture and design artifacts, identify risks earlier, and recommend secure implementation patterns.
- Contribute to intelligent security checkpoints that reduce manual review effort while improving consistency, traceability, and developer velocity.
- Help design scalable guardrails, reusable security controls, and policy-as-code capabilities across application and platform teams.
Emerging Threat Monitoring & Proactive Defense
- Monitor evolving application, cloud, API, AI/ML, and data security risks using AI-assisted threat intelligence, vulnerability intelligence, and attack-pattern analysis.
- Identify and evaluate AI-specific threats such as prompt injection, data poisoning, model abuse, model leakage, insecure tool use, and sensitive data exposure.
- Assist in designing and deploying proactive defense mechanisms across applications, APIs, data platforms, and AI-powered systems.
- Use automated signals, telemetry, and risk scoring to support investigations, post-incident analysis, and continuous improvement of prevention and detection capabilities.
- Translate recurring vulnerabilities and incidents into feedback loops that improve threat models, secure design patterns, and SDLC controls.
Security Awareness, Standards & Scalable Enablement
- Promote secure coding and secure design practices through AI-assisted guidance, reusable playbooks, automated recommendations, and developer-friendly documentation.
- Contribute to internal security standards, secure engineering patterns, and AI-native security playbooks.
- Help teams adopt security self-service capabilities that reduce dependency on manual AppSec review.
- Collaborate closely with Engineering, DevOps, QA, Product, and AI platform teams to foster a security-first and automation-first culture.
- Use metrics and insights to measure control effectiveness, remediation trends, developer adoption, and overall security maturity.
What You Need to Succeed
- Bachelor's degree in Computer Science, Cybersecurity, or a related field, or equivalent practical experience.
- 5+ years of experience in Application Security, DevSecOps, Secure Software Development, or Security Engineering.
- Strong understanding of OWASP Top 10, SANS CWE Top 25, secure design principles, and application threat modeling.
- Familiarity with AI/ML security concepts such as prompt injection, data poisoning, adversarial testing, model integrity, model abuse, and AI supply-chain risks.
- Experience building or integrating AI-assisted security workflows, security bots, automated triage systems, or risk scoring models.
- Experience using AI-assisted or automation-driven approaches to improve security testing, vulnerability analysis, code review, or risk prioritization.
- Experience with modern application frameworks and architectures such as React, Node.js, Django, FastAPI, or similar technologies.
- Knowledge of securing APIs, microservices, authentication, and authorization mechanisms such as OAuth2, OIDC, JWT, and service-to-service authentication.
- Experience with cloud platforms such as AWS, GCP, or Azure, and containerized environments such as Docker and Kubernetes.
- Working knowledge of security testing and automation tools such as Semgrep, SonarQube, Burp Suite, OWASP ZAP, Trivy, Snyk, GitHub Advanced Security, or similar tools.
- Ability to analyze security findings, correlate risk context, and drive practical remediation guidance for engineering teams.
- Strong collaboration and communication skills with the ability to work across Engineering, Product, QA, DevOps, and Security teams.
Nice to Have
- Experience with policy-as-code, infrastructure-as-code security, CI/CD security controls, and automated governance.
- Experience with automation frameworks and scripting for security testing, vulnerability validation, and remediation workflows.
- Relevant certifications such as OSCP, GWAPT, CSSLP, cloud security certifications, or AI/ML-specific security certifications.
BENEFITS & PERKS
- Unlimited PTO
- Excellent medical, dental, and vision coverage
- Employee Equity
- Employee Discounts, Virtual Wellness Classes, and Pet Insurance And more!!
SALARY RANGE
The salary range for this role is $140,000 - $180,000, depending on location and experience.
PEOPLE & CULTURE AT ZETA
Zeta considers applicants for employment without regard to, and does not discriminate on the basis of an individual's sex, race, color, religion, age, disability, status as a veteran, or national or ethnic origin; nor does Zeta discriminate on the basis of sexual orientation, gender identity or expression.
We're committed to building a workplace culture of trust and belonging, so everyone feels invited to bring their whole selves to work. We provide a forum for employees to celebrate, support and advocate for one another. Learn more about our commitment to diversity, equity and inclusion here: https://zetaglobal.com/blog/a-look-into-zetas-ergs/
ZETA IN THE NEWS!
https://zetaglobal.com/press/?cat=press-releases
#LI-TS1
WHO WE ARE
Zeta Global (NYSE: ZETA) is the AI-Powered Marketing Cloud that leverages advanced artificial intelligence (AI) and trillions of consumer signals to make it easier for marketers to acquire, grow, and retain customers more efficiently. Through the Zeta Marketing Platform (ZMP), our vision is to make sophisticated marketing simple by unifying identity, intelligence, and omnichannel activation into a single platform – powered by one of the industry's largest proprietary databases and AI. Our enterprise customers across multiple verticals are empowered to personalize experiences with consumers at an individual level across every channel, delivering better results for marketing programs. Zeta was founded in 2007 by David A. Steinberg and John Sculley and is headquartered in New York City with offices around the world. To learn more, go to www.zetaglobal.com.
About the Role
We're seeking a Lead Application Security Engineer to help advance Zeta Global's application and platform security posture through AI-native security practices, intelligent automation, and scalable security engineering. You'll play a critical role in embedding security throughout the software development lifecycle by using AI-driven tools, automated controls, and data-informed risk prioritization to ensure our systems, applications, and AI-powered platforms are built securely from the ground up.
Zeta operates at massive scale, powering billions of consumer profiles and petabytes of data across real-time, AI-powered marketing platforms. In this role, you'll collaborate with Engineering, Product, QA, DevOps, and AI platform teams to identify risks, design secure-by-default patterns, and build automated security capabilities that enable secure innovation at speed.
This position offers significant technical scope, cross-functional visibility, and the opportunity to directly influence the company's security maturity through AI-enabled threat modeling, automated validation, intelligent vulnerability management, and proactive defense.
Key Responsibilities
AI-Driven Threat Modeling & Security Validation
- Use AI-assisted threat modeling capabilities to identify application, platform, API, cloud, data, and AI/ML security risks early in the design and development process.
- Leverage automated security review tools to evaluate architecture, design documents, code changes, APIs, and data flows for security gaps and control weaknesses.
- Drive AI-assisted code security reviews using SAST, DAST, SCA, secrets detection, IaC scanning, container scanning, and contextual risk analysis.
- Use automation and intelligent correlation to assess third-party libraries, APIs, vendor integrations, and open-source dependencies for security, compliance, and supply-chain risk.
- Support AI-enabled red team, blue team, and incident response simulations to validate detection, prevention, and response capabilities.
Embedding AI-Native Security into the SDLC
- Partner with developers and QA engineers to embed AI-driven security testing and automated risk detection into CI/CD pipelines.
- Build and improve security automation that provides real-time feedback to developers during design, coding, testing, release, and deployment.
- Use AI-assisted analysis to review architecture and design artifacts, identify risks earlier, and recommend secure implementation patterns.
- Contribute to intelligent security checkpoints that reduce manual review effort while improving consistency, traceability, and developer velocity.
- Help design scalable guardrails, reusable security controls, and policy-as-code capabilities across application and platform teams.
Emerging Threat Monitoring & Proactive Defense
- Monitor evolving application, cloud, API, AI/ML, and data security risks using AI-assisted threat intelligence, vulnerability intelligence, and attack-pattern analysis.
- Identify and evaluate AI-specific threats such as prompt injection, data poisoning, model abuse, model leakage, insecure tool use, and sensitive data exposure.
- Assist in designing and deploying proactive defense mechanisms across applications, APIs, data platforms, and AI-powered systems.
- Use automated signals, telemetry, and risk scoring to support investigations, post-incident analysis, and continuous improvement of prevention and detection capabilities.
- Translate recurring vulnerabilities and incidents into feedback loops that improve threat models, secure design patterns, and SDLC controls.
Security Awareness, Standards & Scalable Enablement
- Promote secure coding and secure design practices through AI-assisted guidance, reusable playbooks, automated recommendations, and developer-friendly documentation.
- Contribute to internal security standards, secure engineering patterns, and AI-native security playbooks.
- Help teams adopt security self-service capabilities that reduce dependency on manual AppSec review.
- Collaborate closely with Engineering, DevOps, QA, Product, and AI platform teams to foster a security-first and automation-first culture.
- Use metrics and insights to measure control effectiveness, remediation trends, developer adoption, and overall security maturity.
What You Need to Succeed
- Bachelor's degree in Computer Science, Cybersecurity, or a related field, or equivalent practical experience.
- 5+ years of experience in Application Security, DevSecOps, Secure Software Development, or Security Engineering.
- Strong understanding of OWASP Top 10, SANS CWE Top 25, secure design principles, and application threat modeling.
- Familiarity with AI/ML security concepts such as prompt injection, data poisoning, adversarial testing, model integrity, model abuse, and AI supply-chain risks.
- Experience building or integrating AI-assisted security workflows, security bots, automated triage systems, or risk scoring models.
- Experience using AI-assisted or automation-driven approaches to improve security testing, vulnerability analysis, code review, or risk prioritization.
- Experience with modern application frameworks and architectures such as React, Node.js, Django, FastAPI, or similar technologies.
- Knowledge of securing APIs, microservices, authentication, and authorization mechanisms such as OAuth2, OIDC, JWT, and service-to-service authentication.
- Experience with cloud platforms such as AWS, GCP, or Azure, and containerized environments such as Docker and Kubernetes.
- Working knowledge of security testing and automation tools such as Semgrep, SonarQube, Burp Suite, OWASP ZAP, Trivy, Snyk, GitHub Advanced Security, or similar tools.
- Ability to analyze security findings, correlate risk context, and drive practical remediation guidance for engineering teams.
- Strong collaboration and communication skills with the ability to work across Engineering, Product, QA, DevOps, and Security teams.
Nice to Have
- Experience with policy-as-code, infrastructure-as-code security, CI/CD security controls, and automated governance.
- Experience with automation frameworks and scripting for security testing, vulnerability validation, and remediation workflows.
- Relevant certifications such as OSCP, GWAPT, CSSLP, cloud security certifications, or AI/ML-specific security certifications.
BENEFITS & PERKS
- Unlimited PTO
- Excellent medical, dental, and vision coverage
- Employee Equity
- Employee Discounts, Virtual Wellness Classes, and Pet Insurance And more!!
SALARY RANGE
The salary range for this role is $140,000 - $180,000, depending on location and experience.
PEOPLE & CULTURE AT ZETA
Zeta considers applicants for employment without regard to, and does not discriminate on the basis of an individual's sex, race, color, religion, age, disability, status as a veteran, or national or ethnic origin; nor does Zeta discriminate on the basis of sexual orientation, gender identity or expression.
We're committed to building a workplace culture of trust and belonging, so everyone feels invited to bring their whole selves to work. We provide a forum for employees to celebrate, support and advocate for one another. Learn more about our commitment to diversity, equity and inclusion here: https://zetaglobal.com/blog/a-look-into-zetas-ergs/
ZETA IN THE NEWS!
https://zetaglobal.com/press/?cat=press-releases
#LI-TS1
Job Roles at Zeta Global
Working at Zeta Global
Zeta Global's 84 open roles are manager level or above, and about 54% are remote or hybrid. The most active teams are sales, software engineering, and AI (Artificial Intelligence). Zeta Global develops AI-powered marketing technology and data solutions for enterprise clients, with a focus on customer intelligence, identity resolution, and omnichannel campaign activation. The company employs teams across product, engineering, sales, and client success. Most Zeta Global roles are based in New York, with some in Remote and Atlanta.
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Browse jobs by roleZeta Global Jobs: Frequently Asked Questions
How many jobs is Zeta Global hiring for right now?
Zeta Global is hiring for 84 open roles on Migrate Mate as of July 16, 2026, updated daily, concentrated in sales and software engineering. Roles span engineering, sales, and client success, with postings appearing at manager level or above.
What kinds of roles does Zeta Global hire for?
The most active teams are sales, software engineering, and AI (Artificial Intelligence). Zeta Global's open positions include software engineering, AI and machine learning, product management, enterprise sales, application security, and client success roles. Technical positions range from staff to principal and VP level, while go-to-market and account management roles reflect the company's enterprise client focus. Most postings are manager level or above.
Are Zeta Global jobs remote or in-person?
Mostly remote. About 54% of Zeta Global's open roles on Migrate Mate are remote or hybrid as of July 16, 2026, with the rest based in New York. Each Zeta Global listing shows its work location so you can filter before applying.
How do I apply to a job at Zeta Global?
Find a Zeta Global role on Migrate Mate, then follow the listing through to Zeta Global's own careers site to submit your application directly. Zeta Global manages its own hiring process, including screening, interviews, and offers. Migrate Mate keeps the listings current so you can check back as new roles are posted.
What do Zeta Global jobs pay?
Listed salaries for Zeta Global roles on Migrate Mate range from about $60,000 to $500,000 per year as of July 16, 2026, with most postings at manager level or above. Exact pay is set by Zeta Global and shown on each listing.
Does Zeta Global hire entry-level?
Most of Zeta Global's open roles on Migrate Mate are manager level or above as of July 16, 2026. Entry-level openings are limited. Check individual Zeta Global listings for stated experience requirements.
Where is Zeta Global hiring?
Most Zeta Global roles are based in New York, with some in Remote and Atlanta, and about 54% offer remote or hybrid work as of July 16, 2026. Migrate Mate shows the location on each listing.