Zeta Global

Application Engineer

• 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.
• 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.
• 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.
• 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.

Lead Application Security Engineer

Content Manager

• Own the editorial strategy, content roadmap, and editorial calendar for Zeta’s blog, aligned to product priorities and growth marketing goals
• Pitch and write clear, engaging content that explains product capabilities in ways that matter to our audiences
• Edit and improve drafts from Product Marketing and internal teams, ensuring clarity, consistency, and strong storytelling
• Partner closely with Product Marketing, Product, and other stakeholders to identify content opportunities that support launches, strategic initiatives, and key business priorities
• Partner with Growth Marketing to align content to campaigns, priority audiences, and pipeline goals
• Build content that performs well in search and AI-generated answers, applying GEO (Generative Engine Optimization) principles to ensure it’s easy to find, understand, and trust
• Maintain a high bar for writing quality, voice, and editorial consistency
• Drive content from planning through publication, coordinating contributors, stakeholders, reviews, and approvals to ensure timely execution
• Use performance insights, audience trends, and business priorities to inform editorial decisions and optimize future content investments

Manager, Editorial Lead

Data Scientist

• Own the data collaboration platform: Act as the single-threaded owner for Zeta’s data collaboration product = responsible for stability, scalability, security posture, and long-term evolution across cloud architectures.
• Evolve the architecture beyond its current foundation: Build on today’s cleanroom-based implementation and design equivalent capabilities across additional cloud and data platforms while preserving zero-copy, security, and enterprise trust guarantees.
• Set and drive the roadmap: Define, prioritize, and execute a roadmap that balances client demand, technical feasibility, platform reuse, and long-term strategic value.
• Build the support and operating model: Create the scalable support structure required to operate the platform at enterprise scale - documentation, patterns, tooling, escalation paths, and operational readiness.
• Stay hands-on where it matters: Be technical enough to design and implement secure data collaboration workflows, including cleanroom-style patterns, access controls, and policy-driven computation.
• Partner on go-to-market strategy: Work closely with product, sales, and client-facing teams to position data collaboration offerings, shape messaging, support complex deals, and ensure the platform is both sellable and deliverable.
• Raise the internal bar: Build deep institutional knowledge around data collaboration: run enablement sessions, publish internal playbooks, and serve as the go-to expert across engineering, product, and GTM teams.
• Measure what matters: Define success metrics - adoption, client outcomes, reliability, revenue impact - and use them to guide investment, iteration, and deprecation decisions.

Data Collaboration Lead

Customer Success Manager

• Own retention, expansion, Net Revenue Retention, NPS, and customer advocacy for the Sailthru Customer Success business.
• Manage performance across a defined portfolio of enterprise customers.
• Establish and drive disciplined account planning, forecasting, and business review processes.
• Identify and mitigate churn risk while proactively uncovering expansion opportunities.
• Ensure consistent delivery of customer value through adoption of Sailthru capabilities.
• Partner with customers to drive lifecycle marketing maturity, audience engagement, and revenue growth.
• Expand platform usage across email, segmentation, personalization, and omnichannel engagement strategies.
• Guide customers in translating business goals into scalable marketing programs and measurable outcomes.
• Ensure customers realize full value from the Sailthru platform and associated Publisher Cloud capabilities.
• Develop trusted relationships with senior leaders at key accounts.
• Lead executive business reviews focused on performance, outcomes, and growth opportunities.
• Serve as escalation point for strategic customer issues and opportunities.
• Build and maintain strong referenceable customer relationships.
• Lead a team of Customer Success Managers focused on Sailthru accounts.
• Coach and develop team members to improve customer engagement, strategic thinking, and commercial outcomes.
• Drive accountability for retention, growth, and adoption outcomes across the team.
• Foster a culture of performance, ownership, and customer-centric execution.
• Partner closely with Sales, Product, Operations, and Support to ensure customer success.
• Act as the voice of the customer.
• Influence product priorities through structured customer feedback and insight sharing.

Vice President, Customer Success

Performance Marketing

• Build and manage paid social campaigns in alignment with media plans
• Act as the primary contact and media expert for clients representing your assigned accounts
• Make swift optimizations to ensure optimal pacing and performance
• Provide clients with actionable insights and recommendations based on campaign goals and best practices
• Leverage Zeta’s Data Cloud to identify and target additional audiences for scale

Senior Paid Social Manager

• Define and evolve Paid Search strategy for Higher Education clients, aligned to enrollment cycles, program mix, and institutional goals
• Translate industry trends (e.g., seasonality, program demand, attribution challenges) into scalable, actionable frameworks
• Establish POVs on bidding strategies, funnel optimization, and audience targeting specific to EDU
• Serve as executive sponsor across key EDU client relationships, guiding long-term strategy and investment decisions
• Oversee performance across portfolio, ensuring delivery against KPIs such as CPL, enrollment volume, and efficiency targets
• Identify and unlock growth opportunities including new channels, budget expansion, and testing roadmaps
• Lead QBRs and executive presentations with a focus on business outcomes and forward-looking strategy
• Lead, mentor, and develop a Search team, ensuring strong performance management and career growth
• Define team structure, resourcing models, and capacity planning to support current and future business needs
• Elevate team capabilities in platform innovation
• Ensure best-in-class execution across campaigns, including account structure, budget pacing, and optimization strategies
• Implement standardized frameworks for testing, reporting, and performance analysis across accounts
• Partner with analytics to refine attribution approaches and measurement strategies, particularly for long consideration cycles
• Drive consistency and rigor in how insights are translated into action and client impact
• Partner with analytics and ops teams to improve reporting, automation, and scalability
• Monitor industry trends, platform changes, and competitive landscape
• Deliver clear, data-driven performance reports and insights to clients, diving into the 'why' behind the data
• Recommend testing strategies, budget allocation shifts, and bid strategy adjustments based on performance trends
• Ensure accuracy, consistency, and timeliness of reporting.

Associate Vice President, Paid Search

Director

• Manage and grow existing and new launch EDU agency client accounts – delivering outstanding client service, strong channel performance, and aligned execution on key initiatives.
• Manage weekly partnership meetings, design & deliver QBR presentations that align with client strategic goals and performance objectives and distinctly reinforce Zeta’s core value proposition.
• Serve as point person for all client and campaign requests, communicating regularly with client re: pacing, performance, progress on initiatives, campaign recommendations, creative compliance, and new opportunities to scale.
• Liaise with channel management teams on in scope media channels to ensure aligned execution and drive performance initiatives
• Develop deep understanding of Zeta’s broader product offerings, reporting analytics, competitive advantages, resources and processes to identify cross sell and upsell opportunities to benefit clients under management
• Coordinate with client and internal contributing teams to develop and manage client roadmap outlining major milestones, testing and opportunities that proactively identify areas for program enhancements and incremental revenue.
• Coordinate and manage campaign executions, including custom creative build-outs, set-up of assets, development of campaign timelines, data pulls based on client audience targeting and organization of campaign documentation
• Conceptualize and manage project timelines, coordinating with internal teams to meet client goals
• Share expertise and advise clients on new campaign strategies to generate continued results
• Manage administrative rhythm of month, ie - insertion orders, pacing reports, billing, internal finance requests

Director, Agency Services

• Define and drive a clear analytics vision aligned to client engagement, media performance, and marketing measurement priorities.
• Champion a data-driven culture by embedding analytics into strategic planning, campaign optimization, and decision-making processes.
• Lead the development and execution of measurement frameworks tailored to each client’s objectives, ensuring alignment with business goals.
• Translate data into actionable insights by identifying performance drivers, resolving anomalies, and crafting compelling narratives that demonstrate media impact.
• Establish and maintain robust testing frameworks that are statistically valid and operationally scalable.
• Drive confidence and alignment by delivering actionable insights rooted in analytics, business strategy, and persuasive communication.
• Provide business feedback as a key stakeholder in the development of standardized dashboards and advanced analytics to measure the effectiveness of campaigns.
• Leverage predictive and prescriptive analytics to identify trends, opportunities, and risks related to client behavior and retention.
• Utilize advanced analytics to quantify marketing impact and ROI, and partner cross-functionally to diagnose and address performance irregularities.
• Implement robust A/B and multivariate testing and experimentation protocols to optimize campaigns and maximize impact.

Senior Manager, Data Science & Analytics

Full-stack Engineer

• Identify systemic engineering challenges across our platforms and drive their resolution — shaping the technical backlog and near-term architecture.
• Propose and validate technical approaches for problems involving scale, performance, security, or cross-team dependencies.
• Lead architectural decisions for complex, ambiguous, or high-risk initiatives.
• Incorporate modern industry patterns — including AI/ML tooling — into our technical strategy where it genuinely moves the needle.
• Write code, review PRs, debug production issues, and optimize system performance — this is not a whiteboard-only role.
• Dive deep into our AWS infrastructure, Kubernetes workloads, and JVM-based services to find and fix what's actually wrong.
• Participate in our on-call rotation as a second-level escalation point for complex engineering incidents.
• Step in during large incidents to help teams triage, coordinate, and resolve — and follow through with post-incident reviews that drive lasting fixes.
• Champion operational excellence across our engineering teams: observability, reliability, deployment practices, and the operational habits that keep systems healthy at scale.
• Partner with engineering teams as a technical point of contact on complex projects — ensuring good architectural decisions get documented and don't have to be re-litigated.
• Work directly with Engineering Managers to align technical work with team and product priorities.
• Mentor engineers across our teams, raising the technical floor through reviews, pairing, and direct feedback.
• Stay close to the customer. Understand how Sailthru's platform affects the people using it, bring that context into technical decisions, and push back when engineering choices create friction for customers.
• Partner closely with the product team — contribute to shaping what gets built, not just how. The best technical decisions happen when engineering and product are thinking together from the start.

Staff Software Engineer

Machine Learning Engineer

• Lead the design and implementation of scalable, high-performance, and resilient ML solutions for AdTech use cases.
• Architect and evolve the end-to-end machine learning pipeline – from data ingestion and training to real-time inference for our real-time bidding, targeting, and optimization algorithms.
• Define the technical roadmap and vision for AI/ML in our platform, evaluating new tools and techniques (including the latest in deep learning and LLMs) and making strategic build-vs-buy decisions.
• Develop intelligent systems using AI agents and agentic workflows to automate and optimize end-to-end campaign processes.
• Partner with engineering, product, and data science teams to translate marketing objectives into ML-driven solutions.
• Ensure system robustness and stability for ML services in a high-concurrency, low-latency environment.
• Provide technical guidance and mentorship to other engineers and data scientists, fostering a culture of excellence in engineering and ML best practices.

Principal AI/ML Engineer – AdTech

Developer Relations

• Drive adoption of AI-native engineering workflows including coding assistants, autonomous agents, MCP ecosystems, AI-assisted testing, code review, and spec-driven development practices.
• Create high-impact technical content including blogs, tutorials, architecture guides, demos, workshops, videos, implementation playbooks, and workflow education material focused on AI-native software engineering and developer productivity.
• Build demo repositories, reusable workflow examples, and practical implementation patterns that help engineering teams adopt AI-native development practices using tools such as Cursor, GitHub Copilot, Anthropic, OpenAI Codex, MCP servers, and autonomous developer agents.
• Drive developer engagement and ecosystem awareness through technical storytelling, developer education initiatives, online engagement, social platforms, workshops, webinars, hackathons, and community participation.
• Partner with Engineering, Platform, AI Enablement, and Developer Experience teams to improve adoption of AI-native workflows, developer tooling, and agentic development practices across the organization.
• Educate developers on emerging AI-native engineering paradigms including prompt-driven development, agent orchestration, AI-assisted testing, verification-first workflows, and autonomous software delivery patterns.
• Act as an advocate for developer productivity and workflow transformation by identifying friction points and enabling scalable AI-assisted engineering practices.
• Measure and improve adoption of AI-native engineering practices through developer feedback, workflow telemetry, productivity metrics, content engagement, onboarding insights, and enablement outcomes.

Lead Developer Relations Engineer

Analyst

• Understand, apply, iterate, and actively reinforce the company’s Job Architecture and leveling framework
• Support the design and evolution of compensation programs by leveraging the framework to drive simplification, standardization, and internal equity
• Partner with HR Business Partners and Talent Acquisition to ensure roles are appropriately leveled and aligned to organizational strategy
• Conduct thorough job evaluations and market pricing using Aon Radford as the primary survey source, along with other providers (e.g., Mercer, WTW, Culpepper)
• Deliver strategic guidance to HR Business Partners, Talent Acquisition, and business leaders to maintain market competitiveness while reinforcing internal equity
• Support pricing for new roles, promotions, reorganizations, and structural changes
• Partner with Finance and Sales Operations to support the design, operation, and governance of commission and incentive compensation plans
• Assist with plan modeling, cost analysis, and scenario testing to ensure pay‑for‑performance alignment and financial sustainability
• Review commission structures to ensure consistency with job levels, pay mix, and compensation philosophy
• Support execution of annual compensation processes, including merit increases and incentive programs, ensuring accuracy, consistency, and alignment with organizational goals
• Analyze outcomes for equity, compression, and competitiveness, and support leadership review discussions
• Serve as a key point of contact for HR teams across regions, providing day‑to‑day guidance on compensation inquiries and ensuring consistent application of policies and practices
• Provide subject‑matter‑expert guidance to HR Business Partners, Talent Acquisition, managers, and employees to support informed decision‑making
• Regularly audit compensation data in Workday HCM to ensure accuracy; investigate and resolve discrepancies
• Maintain documentation, controls, and audit‑ready records appropriate for a public company environment
• Contribute to ad‑hoc analyses and strategic compensation initiatives that support business needs and enhance program effectiveness
• Develop compensation reporting and analytics to provide clear, actionable insights for HR, Finance, and leadership
• Support continuous improvement of compensation processes, tools, and governance

Global Compensation Analyst

Software Engineer

• Own and define the strategic roadmap for the Identity & Data Layer, covering the full lifecycle (ingest → resolve → enrich → activate), with clear accountability for scalability, accuracy, latency, and reliability SLAs.
• Lead and inspire a team of ~50 engineers,
• Own the evolution of identity resolution and identity graph systems, advancing deterministic and probabilistic matching, cross-channel identity, and real-time enrichment as core competitive capabilities.
• Drive the evolution
• Collaborate cross-functionally with AI, marketing, and product teams to ensure seamless integration of identity services across Zeta’s platform.
• Establish the data layer as the context engine for Zeta’s AI-native platform, enabling real-time features, embeddings, and data access for models, agents, and downstream applications.
• Benchmark against industry leaders and innovate ahead of the market in identity solutions.
• Ensure compliance with privacy and data governance standards (e.g., CCPA, GDPR).
• Recruit, mentor, and develop top talent, while creating a strong succession plan for critical roles.
• Partner with executive leadership on strategy, investment, and prioritization, aligning platform evolution with business outcomes and long-term scalability.
• Collaborate with DevEx and AI Enablement teams to drive adoption of AI-native engineering practices across the data layer, improving developer productivity, code quality, and system evolution velocity.

Vice President, Identity Engineering

Account Manager

• 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 and paid media
• Extend CRM/CDP conversations into retail media network enablement
• Build relationships with CMOs and develop ROI-driven business cases
• Partner with Solutions Consulting and align with Product Marketing

Director, Client Partnerships – Publisher Cloud

Data Analyst

• Work with large datasets to support custom analytics for client deliverables
• Using data cloud products and data to create new solutions and capabilities
• Work to automate and streamline processes and deliverables to scale value across clients
• Identifying opportunities and offering analytics to the client/client teams with a focus on building and improving business intelligence capabilities
• Partner with product teams to ensure platform capabilities support client requirements and future revenue opportunities