Jobs at Zeta Global

Lead technical execution, architecture, roadmap, and delivery for the Loyalty product. Manage and grow engineering teams, drive design and operational excellence, ensure reliability/observability, coordinate cross-team integrations, and deliver scalable multi-tenant SaaS features integrated with Zeta’s platform and AI capabilities.

Lead definition and delivery of client implementation solutions: gather and document requirements, map business needs to technology, collaborate with architects/developers, manage tickets and documentation, support QA/UAT, and act as SME to ensure successful project execution and client onboarding.

Lead the architecture and development of secure, scalable GenAI platforms, including LLM applications, agentic workflows, RAG systems, evaluation frameworks, observability, multi-tenant infrastructure, security controls, developer APIs, and deployment tooling. Optimize model performance, cost, latency, and reliability while integrating providers and frameworks such as OpenAI, Bedrock, MCP, and LangGraph. Develop software using C#, Java, JavaScript, Go, or Python.

Build and operate data platform infrastructure supporting analytics, machine learning, and AI systems. Responsibilities include developing Lakehouse and Spark systems, improving performance and reliability, implementing data quality, governance, lineage, metadata, security, and access controls, evaluating query and OLAP technologies, enhancing observability and deployment processes, supporting incident response, collaborating with data teams, contributing to open-source projects, and mentoring engineers.

Design and build backend services and APIs for identity resolution and graph integrations. Optimize event-driven pipelines processing billions of signals, deploy cloud-native services on AWS EKS/Kubernetes with Helm, and ensure reliability, observability, and scalability. Collaborate across engineering, product, and data teams while mentoring junior engineers and advancing distributed identity platform architecture.

Design, build, and operate Zeta’s high-volume real-time events pipeline. Lead event-streaming architecture and production launches, evaluate technologies, define downstream contracts, mentor engineers, translate SLAs into reliable systems, and improve observability, alerting, on-call processes, performance, cost, data quality, and incident response.

Leads application security engineering across the SDLC by applying AI-assisted threat modeling, security validation, vulnerability management, and automated controls. Integrates security testing into CI/CD pipelines, develops secure-by-default patterns and policy-as-code guardrails, monitors application, cloud, API, data, and AI/ML threats, and guides remediation. Partners with Engineering, Product, QA, DevOps, and AI platform teams to improve security maturity, developer enablement, and proactive defense.

Lead and architect Zeta’s AI-native Application Security function. Define strategy, build and mentor the team, embed security agents and guidance into IDEs, pull requests, CI/CD, and AI/ML pipelines, and implement continuous threat modeling, risk scoring, policy enforcement, and AI-specific adversarial testing. The role also owns security strategy for AI systems, models, prompts, and agents while enabling engineers to design secure AI-native systems.

Design and build backend services and APIs for identity resolution while developing workflows for handling massive data volumes and mentoring junior engineers.

Own strategic relationships with enterprise clients using Zeta’s marketing technology platform. Develop loyalty and lifecycle marketing strategies, analyze campaign performance, guide platform adoption, lead business reviews, and identify retention and growth opportunities. Collaborate with analytics, operations, and commercial teams while translating marketing data into actionable recommendations and managing multiple client priorities.

Manages multi-account projects delivering media dashboards, audience creation, tagging, pixel tracking, attribution, and reporting enhancements. Coordinates media, analytics, operations, sales, clients, and third-party vendors; maintains timelines, requirements, documentation, QA, and data integrity. Translates client reporting needs into dashboard specifications and oversees tracking implementation across digital media channels. Requires digital marketing and advertising agency experience, project management skills, and familiarity with tagging, analytics, attribution, and dashboard platforms.

Manage a portfolio of clients as a strategic advisor, driving retention, renewals, expansion, platform adoption, and revenue growth. Develop data-driven email, SMS, lifecycle, and omnichannel marketing strategies; lead QBRs; coordinate cross-functional delivery; educate clients on platform capabilities; and oversee billing, budgeting, forecasting, and issue resolution.

Lead technical execution and architecture for the Loyalty product. Own roadmap, design distributed services and APIs, ensure reliability/observability, integrate with ZMP and AthenaOS, build and coach engineering teams, and drive cross-team delivery of scalable multi-tenant loyalty capabilities.

Leads solution definition for client implementations and large enhancement projects. Gathers requirements, analyzes workflows and technical infrastructure, performs gap analyses, recommends solutions, estimates project impact, and manages documentation. Collaborates with architects, developers, QA, production support, and client teams throughout implementation, UAT, and delivery. Serves as a subject matter expert, identifies risks, communicates technical concepts, and advises on capabilities, staffing, and infrastructure needs.

Manages programmatic analytics and insights for client accounts, leading measurement frameworks, brand lift studies, incrementality testing, and A/B experiments. Develops media and campaign strategies, communicates performance insights to clients, and supports pitches and QBRs. Oversees, mentors, and develops analysts while partnering with Product, Engineering, Sales, and Customer Success teams to improve measurement tools, campaign optimization, and analytical capabilities.

Leads paid search strategy and execution for higher education clients across Google and Microsoft Ads. Owns budgets, forecasting, campaign optimization, bidding, audience strategy, testing, attribution, conversion tracking, reporting, and enrollment-focused KPIs such as CPL, CPE, and CPS. Partners with analytics and operations teams, advises clients, identifies growth opportunities, and drives adoption of automation and AI-powered advertising features.

Own a portfolio of publisher accounts, driving renewals, upsells, cross-sells, revenue growth, platform adoption, and long-term client value. Serve as a strategic advisor, lead executive and operational client engagements, analyze performance, provide recommendations, manage forecasts and account health, maintain Salesforce records, and deliver onboarding, demos, and training. Collaborate with Sales, Product, Supply Operations, and Support teams on client outcomes, RFPs, and product improvements.

This role involves leading a consulting team to deliver data-driven marketing strategies, measurement, and client engagement, while advising C-suite executives and optimizing customer journeys through advanced data analysis and insights.

Manage paid search accounts by translating client goals into channel plans, budgets, targeting, measurement, and testing roadmaps. Lead campaign execution, pacing, optimization, QA, tracking validation, and reporting across Google Ads and related platforms. Deliver performance narratives and business recaps, convert data into actionable recommendations, coordinate internal and external partners, and identify opportunities to improve campaign and client outcomes.

Manage end-to-end YouTube and Demand Generation advertising campaigns for clients, including setup, optimization, pacing, budget and bid management, reporting, and performance insights. Serve as the primary client contact, recommend improvements based on campaign KPIs, coordinate with internal teams, and ensure accurate and timely execution. The role requires hands-on Google Ads expertise across awareness, consideration, and conversion objectives, along with strong quantitative, communication, and organizational skills.