AI Ops Application Operations Lead

Overview

Owns the production lifecycle of agentic coding applications, plugins, and skills across Zeta, helping teams move high-value prototypes into production and keeping applications reliable, useful, governed, and measurable after launch.

What you'll do

• Partner with owners of agentically coded applications to assess whether an application is ready to move from prototype to production.
• Establish and manage a consistent production-readiness process covering security, privacy, data access, architecture, user experience, support, monitoring, and documentation.
• Identify launch risks, dependencies, and gaps, and coordinate the work required 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 the application owner.
• Coordinate application updates, testing, release management, and communication to users.
• Help ensure applications remain compatible with changes to models, APIs, enterprise systems, data sources, and security requirements.
• Establish clear 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 providing visibility into adoption, usage, reliability, performance, and business outcomes.
• Define appropriate metrics for each application, 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.

What you'll need

• Experience in application operations, technical program management, product operations, product management, or a closely related role.
• Strong 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.
• Strong backlog management, prioritization, documentation, and release management skills.
• Experience defining product metrics and building or managing performance dashboards.
• Strong written and verbal communication skills.
• Comfort working in a fast-moving environment with evolving tools, standards, and priorities.
• Comfort working with AI-assisted development tools and understanding application architecture.

Nice to have

• 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.

Details

• Location: Hyderabad, India.