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Zeta Global

AI-driven marketing platform for enterprises

AI Ops Application Operations Lead

Business OperationsConfirmed live in the last 24 hours
Full-timeHyderabad, Telangana, IndiaNo salary listedIn-person

About the Job

Requirements

  • Experience in application operations, technical program management, product operations, product management, or a closely related role.
  • Ability to coordinate work across business, product, engineering, IT, security, and data teams.
  • Experience taking internal digital products, AI applications, or technology solutions from prototype through production launch.
  • Ability to translate business requirements into clear technical and operational requirements.
  • Backlog management, prioritization, documentation, and release management skills.
  • Experience defining product metrics and building or managing performance dashboards.
  • Comfort working in a fast-moving environment with evolving tools, standards, and priorities.

Responsibilities

  • Partner with owners of agentically coded applications to assess readiness to move applications from prototype to production.
  • Establish and manage production-readiness processes covering security, privacy, data access, architecture, user experience, support, monitoring, and documentation.
  • Identify launch risks, dependencies, and gaps, and coordinate work to address them.
  • Connect application owners with IT, Security, Data, Legal, and other teams involved in production approval and deployment.
  • Develop launch plans, readiness checklists, support models, and ownership documentation for each application.
  • Ensure applications have clear business objectives, target users, success measures, and accountable owners before launch.
  • Manage the ongoing operational health of production applications.
  • Maintain a prioritized backlog of fixes, enhancements, and technical improvements based on direction from application owners.
  • Coordinate application updates, testing, release management, and user communications.
  • Help ensure applications remain compatible with changes to models, APIs, enterprise systems, data sources, and security requirements.
  • Establish escalation paths for defects, incidents, access issues, and performance concerns.
  • Maintain accurate documentation for application functionality, dependencies, ownership, and support procedures.
  • Help application owners establish structured feedback loops with users.
  • Collect and organize user feedback, feature requests, defects, and usage insights.
  • Translate feedback into clear product requirements and backlog items.
  • Support application owners in prioritizing improvements based on user value, business impact, risk, and effort.
  • Coordinate user testing and validation before major releases.
  • Identify common patterns across applications that could inform shared standards, reusable components, or broader AI Ops priorities.
  • Develop and maintain dashboards that provide application owners visibility into adoption, usage, reliability, performance, and business outcomes.
  • Define appropriate application metrics, including active users, usage frequency, task completion, response quality, errors, latency, user satisfaction, and estimated time or cost savings.
  • Monitor application health and surface risks, adoption gaps, and improvement opportunities.
  • Partner with application owners to review performance regularly and agree on actions.
  • Help determine whether applications should be expanded, redesigned, consolidated, or retired based on evidence.
  • Apply AI Ops standards for application development, production readiness, responsible AI, security, documentation, and measurement.
  • Help create reusable templates, checklists, playbooks, and operating procedures for agentic coding applications.
  • Support the development of a governed application portfolio and inventory.
  • Ensure applications have clear ownership, approved data access, defined user groups, and appropriate controls.
  • Promote consistency across applications while allowing teams to move quickly and iterate.

Desired Qualifications

  • Experience with AI-assisted software development, low-code tools, or agentic coding platforms.
  • Familiarity with modern AI models, APIs, agents, workflow automation, and application architectures.
  • Experience working with enterprise security, privacy, identity, access management, and software governance processes.
  • Familiarity with analytics tools, application monitoring, user telemetry, and experimentation.
  • Experience supporting internal enterprise applications or employee productivity tools.
  • Working knowledge of software development practices, including testing, deployment, version control, and incident management.

About the Company

Zeta Global

AI-driven marketing platform for enterprises

Zeta Global provides AI-driven marketing technology for enterprises to acquire customers, retain them longer, and grow their value. Its Zeta Marketing Platform offers a real-time view of prospects and customers and uses AI to deliver personalized experiences across multiple channels at scale, pulling in behavioral signals and purchase intents to generate intent and churn signals for millions of identities for cross-channel campaigns. It differentiates itself through real-time data, a large identity graph, multi-channel orchestration, and deterministic attribution that drive measurable marketing outcomes. The goal is to help brands optimize acquisition and retention to maximize lifetime value by delivering 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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