Product Owner

TalentOla•Irving, TX

7d•Hybrid

About The Position

The Product Owner will own product vision, roadmap, and delivery priorities for full-stack software products, including AI/LLM-enabled products, in complex enterprise and healthcare environments. The role involves gathering business requirements, defining user stories and acceptance criteria, prioritizing the backlog, and coordinating delivery with engineering, QA, business stakeholders, and other partners. It also includes facilitating Agile ceremonies, supporting product adoption, and driving continuous improvement aligned with business goals. The position guides the effective use of agentic IDEs for complex, multi-module and cross-service changes. It defines architectural intent and agent-executable tasks, establishes guardrails and governance for autonomous coding agents, and integrates agentic workflows into CI/CD pipelines. The Product Owner also establishes review practices and quality checks for AI-generated code, mentors team members on AI-assisted development, and evaluates the effects of agentic IDEs on SDLC processes, security, compliance, auditability, traceability, and technical debt. This is a contract role with CitiusTech, based in Irving, Texas, with a hybrid schedule requiring three days per week in the office.

Requirements

7+ years of Product Management / Product Owner experience.
Strong Agile/Scrum product ownership experience.
Experience working with AI/LLM-enabled products.
Strong stakeholder management and communication skills.
Expertise in backlog management and prioritization.
Experience defining product vision, roadmaps, and user stories.
Experience managing full-stack software product development.
Understanding of React, APIs, MongoDB, and modern web applications.
Ability to define architectural intent that agents can follow and break features into agent-executable tasks.
Ability to govern AI autonomy through guardrails, permissions, and reviews.
Ability to integrate agentic workflows into CI/CD pipelines.
Experience supervising AI agents across multi-service systems, legacy modernization, and large codebases or monorepos.
Strong understanding of security implications of autonomous code execution, compliance, auditability, traceability, and AI-assisted SDLC operating models.
Engineering degree: BE, ME, BTech, MTech, BSc, or MSc.

Nice To Haves

Healthcare domain experience.
Exposure to AI, NLP, and sentiment analysis solutions.
Data analytics and reporting experience.
UX/UI understanding.
Experience with Jira and Agile tools.
Technical certifications in multiple technologies are desirable.

Responsibilities

Own product vision, roadmap, and delivery priorities.
Gather and define business requirements and user stories.
Prioritize the backlog and manage sprint planning activities.
Collaborate with engineering, QA, business stakeholders, and other partners.
Define AI product requirements involving LLMs, NLP, and text analytics.
Clarify requirements and define acceptance criteria.
Monitor product delivery and ensure alignment with business goals.
Facilitate Agile ceremonies and stakeholder communication.
Support successful product adoption and continuous improvement.
Guide the effective use of agentic IDEs for complex, multi-module, or cross-service changes.
Define architectural intent that AI agents can follow and break features into agent-executable tasks.
Govern AI autonomy through guardrails, permissions, and reviews.
Integrate agentic workflows into CI/CD pipelines.
Establish review practices and quality checks for AI-generated code.
Mentor team members on balancing autonomy, correctness, and maintainability in AI-assisted development.
Design system architectures that support AI-augmented and agentic development workflows.
Define guardrails, standards, and governance for autonomous coding agents.
Evaluate the impact of agentic IDEs on SDLC, CI/CD pipelines, security posture, and technical debt.