AI Ops Application Operations Lead
About this role
Managing the production lifecycle of agentic coding applications, plugins, and skills forms the core daily work for the AI Ops Application Operations Lead at Zeta Global in Hyderabad. This position takes charge of moving high-value prototypes into production while keeping applications reliable, useful, governed, and measurable post-launch. Collaboration happens closely with application owners, AI Operations, IT, Security, and other technical teams to focus on production readiness, release management, and adoption visibility.
Practical, organized, and technically curious professionals thrive in this environment by operating between business and technology groups. The person in this role establishes structure where processes are still developing and helps teams make data-driven decisions based on user feedback and performance analytics. Success relies on balancing speed with risk management to ensure applications scale effectively within enterprise standards.
What you will do
- Partner with owners of agenticly coded applications to assess readiness for moving from prototype to production.
- Establish and manage consistent production-readiness processes covering security, privacy, data access, architecture, and user experience.
- Manage the ongoing operational health of production applications by maintaining prioritized backlogs of fixes and enhancements.
- Coordinate application updates, testing, release management, and user communications.
- Help application owners establish structured feedback loops with users to collect insights and translate them into product requirements.
- Develop and maintain dashboards that provide visibility into adoption, usage, reliability, performance, and business outcomes.
- Apply AI Ops standards for application development, production readiness, responsible AI, and security.
What you 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.
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.
Skills and tech stack
Questions candidates ask
What is the primary focus of this role?
The primary focus is production readiness, lifecycle and release management, feedback loops, and clear visibility into adoption, performance, and business impact.
Who does this position partner with?
This role partners closely with application owners, AI Operations, IT, Security, and other technical teams.
What kind of background is required?
Candidates need experience in application operations, technical program management, product operations, product management, or a closely related role.
Does the candidate need to be the primary developer for every application?
They do not need to be the primary developer for every application, but they must be comfortable working with AI-assisted development tools and understanding application architecture.