Full-Time
Lead Application Security Engineer
Zeta Global
1,001-5,000 employees
AI-driven marketing platform for enterprises
Compensation Overview
$140k - $180k/yr
San Francisco, CA, USA
In Person
On-site role; only local candidates in San Francisco, CA.
Bachelor's
 IT & Security (1) |
|---|
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- 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.
- 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.
- 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.
Zeta Global provides enterprise-grade marketing technology powered by artificial intelligence to help brands acquire customers, retain them longer, and grow their value. Its core offering, the Zeta Marketing Platform, provides a real-time view of prospects and customers and uses AI to deliver personalized experiences across multiple channels at scale. The platform aggregates real-time data, including behavioral signals and purchase intents, to create intent and churn signals for millions of identities, enabling cross-channel campaign management and measurement. Zeta differentiates itself with a combination of real-time data, a broad identity graph, multi-channel orchestration, and deterministic attribution aimed at delivering measurable marketing outcomes. The goal is to help brands optimize customer acquisition and retention to maximize lifetime value through precise, data-driven marketing at scale.
Company Size
1,001-5,000
Company Stage
IPO
Headquarters
New York City, New York
Founded
2007
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Simplify's Take
What believers are saying
- August 4, 2026 revenue reached $443 million, up 44%, Zeta’s 20th beat-and-raise.
- Zeta raised 2026 revenue guidance to $1.818 billion and free cash flow to $255.8 million.
- GAAP net income turned positive at $8 million, improving employer stability and hiring.
What critics are saying
- July 8, 2026, Judge Dale Ho kept the securities-fraud case alive into discovery.
- Zeta also faces consolidated privacy litigation over consent farms and unlawfully collected consumer data.
- If judges or customers reject Zeta’s data claims, Athena’s monetization story breaks fast.
What makes Zeta Global unique
- Athena by Zeta unifies marketing decisions, execution, and attribution in one conversational layer.
- Zeta’s 535 million-profile Data Cloud gives enterprise buyers rare identity-scale targeting.
- Palantir Foundry and OpenAI integrations differentiate Zeta from legacy martech suites.
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Benefits
Unlimited Paid Time Off
Health Insurance
Dental Insurance
Vision Insurance
Employee Equity and Stock Purchase Plan
Employee Discounts
Wellness Program
Pet Insurance
Growth & Insights and Company News
6 month growth
↑ 1%1 year growth
↑ 0%2 year growth
↑ 0%Zeta Global exceeded Wall Street expectations in its second quarter, posting revenue of $442.8 million versus analyst estimates of $420.7 million, representing 43.5% year-on-year growth. Adjusted EPS reached $0.27, beating estimates of $0.19. The company raised its full-year revenue guidance to $1.82 billion at the midpoint from $1.79 billion. EBITDA guidance now stands at $405.2 million, above analyst estimates of $397.4 million. CEO David Steinberg attributed the strong performance to accelerated adoption of Zeta's AI-powered Athena platform and partnerships with OpenAI, Palantir, and Snowflake. These alliances have increased access to major enterprise accounts and drove some of the company's largest deals. Operating margin improved to 3.8%, up from negative 1.7% in the same quarter last year. Billings reached $439.2 million, up 43.4% year on year.
Zeta Global reported 44% revenue growth in Q2 2026, driven by its evolution from a marketing technology company to an AI infrastructure platform. The company raised its full-year 2026 revenue guidance by $33 million. Zeta achieved positive GAAP net income of $8.2 million, compared to a $12.8 million loss in the prior year. The firm's proprietary Data Cloud covers 535 million individuals. The launch of voice-enabled Athena significantly increased user engagement, with voice users interacting 500% more than non-voice users. Operational efficiency improved dramatically, with 90% of new code in Q2 generated through automated AI tools. Zeta closed a new $1 billion credit facility for potential M&A and share repurchases. The company repurchased $29.9 million in shares during the quarter. Management projects political candidate revenue of $7 million for Q3 and $8 million for Q4.
Zeta Global reported second-quarter revenue of $442.8 million, up 43.5% year on year and exceeding analyst estimates of $420.7 million by 5.2%. The marketing technology company posted GAAP earnings of $0.03 per share, significantly above the consensus estimate of -$0.03 per share. The company raised its full-year revenue guidance to $1.82 billion from $1.79 billion, whilst EBITDA guidance of $405.2 million surpassed analyst expectations of $397.4 million. Operating margin improved to 3.8%, up from -1.7% in the prior-year quarter. For the next quarter, Zeta Global projected revenue of $470.5 million, 2.1% above analyst forecasts. Despite the strong results, the company's stock declined following the announcement.
Zeta Global will report its second-quarter earnings on Tuesday after market close. The marketing technology company is expected to post revenue growth of 36.4% year on year, an improvement from the 35.4% increase recorded in the same quarter last year. In the previous quarter, Zeta Global reported revenues of $396.3 million, up 49.9% year on year, beating analysts' expectations. The company has a history of exceeding Wall Street's forecasts. Analysts have largely reconfirmed their estimates over the past 30 days. Zeta Global's shares have declined 1.4% over the last month, whilst the broader sales and marketing software segment has seen share prices rise 2.7% on average. The stock currently trades at $21.49, compared to an average analyst price target of $28.68.
Zeta Global has appointed Trey Campbell as Senior Vice President of Investor Relations, effective 27 July 2026. Campbell brings nearly three decades of technology finance and investor relations experience, including positions at Synopsys, Luminar Technologies, and 22 years at Intel, where he spent nine years in investor relations. In his new role, Campbell will lead Zeta's investor relations strategy and serve as liaison to the investment community. He will report to Chief Financial Officer Chris Greiner. Campbell replaces Matt Pfau, who has been promoted to Senior Vice President of Financial Planning & Analysis. Most recently, Campbell served as Senior Vice President of Investor Relations and FP&A at Synopsys.