Zeta Global

Full-stack Engineer

• Define and evolve the architecture of scalable, distributed systems deployed on AWS.
• Design and operate microservices and data-intensive workloads running in Kubernetes (EKS).
• Lead technical design for systems that process and analyze large-scale datasets (high-volume, high-velocity, and high-variety data).
• Establish patterns and best practices for building resilient, observable, and performant services.
• Partner with Product, Data Science, and Engineering leaders to translate business strategy into long-term technical roadmaps.
• Drive cross-team technical initiatives and influence architecture decisions beyond your immediate team.
• Optimize data storage, retrieval, and processing strategies across relational and NoSQL systems.
• Mentor engineers, raise the bar on design and code quality, and lead through technical example.
• Take end-to-end ownership of critical platform components, ensuring long-term scalability and maintainability.

Lead Software Engineer, Opportunity Insights

• Design and build backend services and APIs for identity resolution, graph transparency, and integrations.
• Develop and optimize event-driven pipelines and workflows processing billions of signals.
• Deploy and operate cloud-native services on EKS/Kubernetes, leveraging Helm for repeatable deployments.
• Ensure reliability, observability, and scalability across services and data pipelines.
• Collaborate across engineering, product, and data teams to deliver end-to-end identity solutions.
• Mentor engineers and influence architecture and roadmap

Lead Software Engineer, Identity

Copywriter

• Write clear, persuasive, on-brand copy across CRM channels — email, SMS, MMS, push notifications, landing pages, and direct mail — for Fortune 500 clients across multiple industries
• Partner with designers, strategists, and analysts to translate data insights and customer behavior into resonant messaging that drives engagement and conversion
• Support the creation of promotions, gamification mechanics, and loyalty program communications that deepen customer relationships
• Craft narrative-driven copy for sales decks, pitch presentations, one-pagers, and battlecards that help the sales team advance and close deals
• Translate Zeta’s data assets, AI capabilities, and client outcomes into compelling stories tailored to C-suite and marketing decision-makers
• Develop messaging frameworks that clearly articulate Zeta’s value proposition and competitive differentiation across buyer segments
• Write and refine copy for bespoke demo experiences — including custom email previews, annotated platform flows, and supporting sales narratives
• Write scripts for sizzle videos, platform walkthroughs, and sales demo recordings that are visually adaptable and narratively precise
• Develop digital copy supporting live and recorded sales demos.
• Collaborate with creative and production teams to ensure scripts translate cleanly from page to screen, balancing technical accuracy with accessibility

Senior Copywriter

• Set technical direction and architect multi-tenant GenAI platform systems
• Lead the development of secure, scalable platforms and developer tooling for agentic coding and experimentation
• Integrate generative AI frameworks, LLMs, and evaluation platforms into enterprise-grade solutions
• Solve complex technical challenges, ensuring reliability, security, and performance at scale
• Mentor engineers and collaborate with Research, Product, and Engineering teams to deliver impactful solutions

Lead Software Engineer – Core AI

QA Engineer

• Make Quality a Built-In System, Not a Gate
• Define What’s Buildable Before It Gets Built
• Own the Data Reality
• Bring Domain Depth (MarTech / AdTech + Healthcare)
• Drive Delivery Like an Owner
• Redefine QA for AI-First Development

Lead Software QA Engineer, AI Automation

Director

• Own the Customer Advisory Board (CAB) program including member strategy, recruitment, governance, meeting agendas, facilitation, and executive-ready readouts.
• Lead the Voice of Customer (VoC) system for Product by consolidating feedback from CAB, customer calls, support themes, renewals, implementations, and user communities into a single, structured view.
• Support beta and early access programs that validate product direction, capture structured learnings, and feed launch readiness with clear insights and recommendations by providing access to client participants that can deliver sharp insights and critical feedback.
• Drive closed-loop follow-through on customer feedback by partnering with Customer Success, Support, Product Ops, and Product Management to define action plans, owners, and response cadences, translating themes into prioritization inputs and customer-visible updates.
• Own customer advocacy management and tracking across client references, online reviews, and customer stories. Recruiting and onboarding advocates, managing approvals/readiness, maintaining a centralized inventory, matching advocates to requests, and reporting usage and impact.
• Build the VoC operating model with Product Operations including standardized feedback capture across touchpoints, intake workflows, tagging/taxonomy, tooling hygiene, and reporting that makes feedback easy to find and act on.
• Align VoC insights with Product Marketing and GTM teams to inform positioning, release communications, and enablement—ensuring we reflect real customer language, needs, and objections.
• Own NPS/CSAT customer survey programs defining design, sampling/cadence, governance, and translating results into clear drivers and prioritized actions by connecting quantitative trends with qualitative VoC themes and verbatims.
• Lead customer marketing communications tied to VoC, product updates, and advocacy including customer communications (emails, newsletters, webinars), developing content briefs, coordinating speakers and messaging with Product Marketing, and measuring engagement to improve reach and relevance.
• Plan and execute customer events that drive insight and advocacy (e.g., CAB in-person sessions, roundtables, user groups, conference meetups) in partnership with Product Marketing/Field Marketing—owning run-of-show, content inputs, post-event feedback capture, and stakeholder readouts.
• Report on VoC trends and outcomes through recurring dashboards and stakeholder updates that highlight top themes, progress, decisions made, and impact.

Senior Director – Customer Advocacy and Insights

• Lead architecture and hands-on development of distributed systems supporting healthcare data workflows
• Design and implement scalable data pipelines (batch and streaming) for large-scale datasets
• Build and maintain APIs and services with strong SLAs, observability, and fault tolerance
• Implement identity resolution logic including matching, deduplication, and graph-based linkage
• Ensure high data quality through validation, reconciliation, and monitoring frameworks
• Design systems with strong security controls, including encryption, access control, and auditability
• Apply privacy-by-design principles across all systems handling PHI/PII
• Partner with Product and Data teams to translate healthcare requirements into scalable architectures
• Drive engineering best practices across testing, CI/CD, code quality, and operational excellence
• Mentor engineers and act as a technical leader across the team

Lead Software Engineer – Healthcare Data, Audience Applications

Account Executive

• Own full-cycle enterprise sales across net-new retail and commerce accounts
• Develop and execute account strategies targeting large retailers and omnichannel brands
• Consistently exceed quota across complex, multi-product deals
• Lead conversations around customer data unification (CDP/CRM)
• Position Publisher Cloud as the foundation for customer intelligence and engagement orchestration
• Help retailers activate first-party data across owned channels
• Drive use cases that improve conversion, retention, and customer experience
• Build relationships with CMOs and Chief Digital/Commerce Officers
• Develop ROI-driven business cases tied to customer lifetime value (LTV)

Senior Account Executive

• Own full-cycle enterprise sales across net-new retail and commerce accounts
• Develop and execute account strategies targeting large retailers and omnichannel brands
• Consistently exceed quota across complex, multi-product deals
• Lead conversations around: Customer data unification (CDP/CRM), Lifecycle marketing and personalization, Customer retention, loyalty, and LTV growth
• Position Publisher Cloud as the foundation for customer intelligence and engagement orchestration
• Help retailers activate first-party data across: Owned channels (email, mobile, web), Paid media and partner ecosystems
• Drive use cases that improve conversion, retention, and customer experience
• Extend CRM/CDP conversations into: Retail media network enablement, Audience monetization and partner activation
• Connect improved customer data to incremental advertising revenue opportunities
• Build relationships with: CMOs and Chief Digital/Commerce Officers, Heads of CRM, Loyalty, and Customer Experience
• Develop ROI-driven business cases tied to: Customer lifetime value (LTV), Retention and repeat purchase rates, Media monetization growth
• Partner with Solutions Consulting to validate data and activation use cases
• Align with Product Marketing on retail and CRM narratives
• Collaborate with Customer Success to drive expansion across lifecycle and media

Senior Account Executive – Publishers, Sailthru Platform

Product Manager

• Define and drive the product roadmap for Zeta's addressability systems, including real-time resolution services and batch identity resolution infrastructure.
• Partner closely with engineering to design, build, and ship identity resolution capabilities that serve the needs of all Zeta business units.
• Drive org-wide adoption of the Zeta identity spine (ZID), working with CRM, programmatic, Publisher Cloud (HIRO), Email Exchange, and Data Cloud teams to integrate identity resolution into their products and workflows.
• Own the migration of legacy identity systems to modern architectures, coordinating across multiple engineering pods and business stakeholders to ensure smooth rollouts.
• Build and maintain strong working relationships with product managers, engineering leads, and business unit leaders across the organization, influencing priorities and aligning on shared goals.
• Define success metrics and build visibility into identity coverage — designing dashboards and reporting that surface match rates, resolution quality, and opportunities for improvement across all major systems.
• Translate complex identity and data infrastructure concepts into clear product requirements, user stories, and stakeholder communications.
• Use data to inform prioritization, measure the impact of identity improvements on downstream business outcomes, and identify gaps in coverage.

Senior Product Manager – Addressability

Solutions Engineer

• Work alongside the Healthcare Strategy Team and Act as the Healthcare vertical DC SME, developing industry-specific use cases, narratives, and go-to-market strategies
• Create and maintain collateral, case studies, and solution frameworks tailored to healthcare clients
• Translate complex healthcare data challenges into actionable, scalable solutions
• Design and build end-to-end demo environments showcasing Zeta’s Data Cloud and ZMP capabilities
• Lead custom solution development, from ideation through execution and client presentation
• Deliver compelling platform demos and solution walkthroughs to prospects and clients
• Partner with sales teams to scope, pitch, and close new business opportunities
• Support both pre-sales and post-sales solutioning, ensuring alignment with client needs
• Develop client-specific business cases using 1st, 2nd, and 3rd party data
• Work with Healthcare Strategy Team, product, analytics, and marketing teams to refine go-to-market strategies
• Support training, onboarding, and internal enablement for Data Cloud capabilities
• Collaborate on PR, thought leadership, and vertical positioning in healthcare
• Manage and track Data Cloud-supported pipeline and deliverables
• Oversee project management of solution outputs (audiences, insights, reporting)
• Ensure high-quality, client-ready outputs across all engagements

Data Cloud Solutions Consultant – Healthcare

DevOps Engineer

• Design, build, and operate production-grade CI/CD pipelines enabling multiple developers on multiple teams to deploy concurrently to production, multiple times daily, with zero-downtime guarantees.
• Implement and optimize advanced deployment strategies including canary releases, blue/green deployments, rolling updates, incremental rollouts, and feature flag-gated releases via Statsig.
• Build self-service deployment tooling that empowers developers to own their release process while enforcing safety guardrails, automated rollback triggers, and automate compliance gates.
• Establish deployment observability with real-time canary analysis, automated health scoring, and progressive delivery metrics integrated with Grafana, Prometheus, and Honeycomb.
• Champion CI/CD workflows using GitLab CI/CD, Helm charts, and Terraform to ensure infrastructure and application deployments are version-controlled, auditable, and reproducible.
• Define and enforce SLOs/SLIs/SLAs across services, establishing error budgets that balance velocity with reliability.
• Lead incident response processes, including on-call rotations, runbook development, blameless postmortems, and incident command structure.
• Design and implement robust observability stacks leveraging Grafana, Prometheus, Loki, and Honeycomb for metrics, logging, tracing, and alerting at scale.
• Proactively identify and eliminate reliability risks through chaos engineering, load testing, capacity planning, and failure mode analysis.
• Reduce operational toil through automation, self-healing infrastructure patterns, and intelligent alerting to minimize mean time to detection (MTTD) and recovery (MTTR).

Principal DevOps Engineer

Data Engineer

• Design and build a centralized semantic data layer using Cube Core (or equivalent technology such as Headless BI, dbt Metrics Layer, or Metriql) that provides a unified, governed abstraction over all company data sources.
• Define semantic models, metrics, dimensions, and relationships that map to business domains across marketing, advertising, identity resolution, and customer analytics.
• Expose the semantic layer via REST/GraphQL APIs and MCP-compatible tool interfaces purpose-built for consumption by AI agents and LLMs.
• Integrate and unify data from heterogeneous systems including MySQL, DynamoDB, Aerospike, Snowflake, Amazon S3 (data lakes), Apache Kafka, Amazon SQS, and other internal data stores.
• Build connectors, adapters, and federation layers to query across both operational (OLTP) and analytical (OLAP) data sources in a performant, cost-efficient manner.
• Ensure seamless handling of both data at rest (warehouses, lakes, databases) and data in motion (streaming platforms, event buses, message queues).

Staff Data Engineer

Project Manager

• Deliver assigned projects (implementation and one-time engagements)
• Coordinate project activities, ensuring adherence to project milestones and deliverables
• Monitor and track progress, identifying and addressing any issues or risks that may impact project success
• manage project forecasting and resource planning throughout the project lifecycle
• Lead recurring status reviews and stakeholder communications, escalating risks, decisions, and dependencies as required
• Develop and maintain project documentation and reporting

Senior Project Manager, Implementation

Performance Marketing

• Serve as the primary strategic lead, moving beyond execution to act as a partner that drives the client's business forward with proactive ideas and growth strategies.
• Lead all aspects of client communication and campaign onboarding, ensuring expectations are met and proactively identifying ways to support the client's business needs.
• Deliver performance updates on a cadence aligned with client requirements, providing meaningful insights that guide broader business decisions.
• Drive results for large-scale campaigns primarily on Meta and TikTok, with additional management of LinkedIn, Snapchat, and other social channels as required by the client.
• Coordinate with internal operations teams to prioritize tasks and maintain a high standard of execution accuracy across all accounts.
• Use the Zeta Data Cloud to identify and implement sophisticated audience targeting strategies to improve campaign performance.