At a glance
- Location
- Hyderabad
About the role
- The AI Ops Application Operations Lead owns the production lifecycle of agentic coding applications, plugins, and skills across Zeta.
- This role helps teams move high-value prototypes into production and keeps applications reliable, useful, governed, and measurable after launch.
Responsibilities
- Partner with owners of agenticly 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.
- 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 application owners establish structured feedback loops with users.
- Develop and maintain dashboards that provide application owners with visibility into adoption, usage, reliability, performance, and business outcomes.
- Apply AI Ops standards for application development, production readiness, responsible AI, security, documentation, and measurement.
Requirements
- 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
Preferred 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.
Skills
- AI-assisted Software Development
- Low-code Tools
- Agentic Coding Platforms
- Modern AI Models
- APIs
- Agents
- Workflow Automation
- Application Architectures
- Enterprise Security
- Privacy
- Software Governance Processes
- Analytics Tools
Show all 14 skills
- Application Monitoring
- User Telemetry
